CN107153712B - Personalized customized picture management method supporting time-space association of mobile terminal - Google Patents
Personalized customized picture management method supporting time-space association of mobile terminal Download PDFInfo
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Abstract
The invention discloses a personalized customized picture management method supporting time-space association of a mobile terminal, which comprises the following steps: step 1, determining the starting time of a trip, and determining the ending time when the trip is finished; step 2, determining pictures shot in the time period in the album folder of the mobile terminal; step 3, calculating the Geohash code values of all pictures and storing the Geohash code values into a local cache; step 4, initializing the display scale of the map and the display of the picture cluster on a map interface of the mobile terminal; step 5, determining the Geohash coding prefix length; step 6, comparing the Geohash coding prefix length of the picture cluster with the newly generated prefix length, aggregating or splitting the picture cluster, and calculating the time information displayed by each new picture cluster; and 7, updating the picture cluster mark, the time information and the arrow mark of the map interface of the mobile terminal.
Description
Technical Field
The invention relates to the field of Internet mobile terminal software application, in particular to a personalized customized picture management method supporting time-space association of a mobile terminal.
Background
With the rapid development of the internet and mobile terminal technology, the mobile terminal has a strong processing capability, and the mobile terminal is changing from a simple conversation tool to an integrated information processing platform, which also increases a wider development space for the mobile terminal.
The mobile terminal refers to a computer device that can be used in mobile, and broadly includes a mobile phone, a notebook, a tablet computer, and other devices. Mobile terminals have been developed as simple communication devices with mobile communications for decades. From 2007, the gene mutation of the mobile terminal is intelligently triggered, and the traditional positioning of the terminal as a mobile network terminal is fundamentally changed. The subversive change caused by the mobile intelligent terminal opens the sequence of mobile internet industry development and opens a new technical industry period. With the continuous development of the mobile intelligent terminal, the influence of the mobile intelligent terminal is more extensive than that of a shoulder radio, a television and the internet (PC), and the mobile intelligent terminal becomes a 4 th terminal product which has wide penetration, rapid popularization and great influence and can reach the aspects of human social life historically.
Today's mobile terminals can not only communicate, take pictures, listen to music, play games, but also realize rich functions including positioning, information processing, bar code scanning, IC card scanning, etc., and the mobile terminals have been deeply integrated into our economic and social lives, and are greatly changing people's daily life style.
On the other hand, as the living standard and consumption standard of people are improved, more and more people choose to go out to travel to get a rest from busy work and develop their own visual field. In the process of traveling, mobile terminal devices such as tablets and mobile phones are widely used for taking pictures in the process of traveling due to the characteristics of convenience in carrying, relatively low price, simplicity in operation and the like. The expansion of the capacity and power of mobile terminals makes the number of pictures taken by the terminals during travel increasingly large, which makes the time overhead for managing these pictures at the end of travel greater. Considering that the mobile terminal itself often has certain computing power, it becomes possible to automatically manage the travel pictures in a local intelligent way.
At present, a plurality of methods for managing pictures of the mobile terminal have achieved some achievements. Chinese patent "photo management method and apparatus and mobile terminal", application number: CN201510346832.3, grant bulletin number CN104933146A discloses a photo management method for mobile terminals. The method comprises the following steps: and acquiring a label corresponding to the shot picture according to a preset label, adding a label to the picture, and storing the picture according to the label. The method aims to manage the photos according to the tags of the photos, the storage mode is rich, in addition, in the storage mode, the photos can be quickly and accurately searched according to the tags when being searched, and the photo searching efficiency is very high.
However, the above-mentioned picture management method does not introduce information such as picture position and shooting time, and performs automatic management by associating the space and time of the picture. However, under the current situation of increasingly higher living standard, more and more people often choose to go out for travel, and the hidden information is often of particular significance.
Disclosure of Invention
The purpose of the invention is as follows: the invention provides a space-time associated personalized picture management method aiming at the picture management of a mobile terminal and combining picture shooting position information and time information, and is convenient for people to check the information such as the picture shooting time and position while checking the picture.
Aiming at the defects of the prior art, the invention provides a personalized customized picture management method supporting time-space association of a mobile terminal.
In order to solve the technical problem, the invention discloses a personalized customized picture management method supporting time-space association of a mobile terminal, which comprises the following steps:
step 1, before a trip starts, a user clicks a mobile terminal to determine the starting time of the trip, and determines the ending time of the trip when the trip is finished;
step 2, traversing a local album folder on the mobile terminal, and finding out the picture with the shooting time in the period according to the time range in the step 1;
step 3, calculating the Geohash code values of all the pictures in the step 2 and storing the Geohash code values into a local cache;
step 4, determining the initial scaling of the map according to the Geohash coding values of all the pictures, initializing the map and marks of the picture clusters on the map, and enabling a user to click the picture clusters to view the pictures in the picture clusters;
step 5, determining the Geohash coding prefix length when each operation is finished according to the zooming gesture of the user on the map;
step 6, comparing the Geohash coding prefix length of the current picture cluster with the Geohash coding prefix length newly generated in the step 5, if the former is larger, some picture clusters need to be gathered, and if the latter is larger, each picture cluster needs to be traversed and some picture clusters need to be split; if the two lengths are equal, the picture cluster is not changed. For a newly generated picture cluster, the displayed time information of the picture cluster needs to be updated;
and 7, updating and displaying the user operation result on a map interface of the mobile terminal, wherein the updating and displaying result comprises the mark of the picture cluster on the map, the display of the picture cluster time information and the addition of an arrow mark between the picture clusters, and the user can view the pictures in the picture cluster by clicking the picture cluster.
In step 2 of the present invention, when a user starts a trip, it is necessary to determine a trip start time on the mobile terminal, which is recorded as time _ start, and when the trip ends, it is also necessary to determine a trip end time on the mobile terminal, which is recorded as time _ end. After the travel is finished, it is necessary to extract the picture taken during the travel according to the picture taking time. Traversing a local folder on the mobile terminal, extracting the shooting time _ taken of each picture file, and if the conditions are met: and time _ start is less than or equal to time _ taken is less than or equal to time _ end, which indicates that the picture is shot in the period, and then the picture is recorded. The set of pictures p ═ { p } taken during the trip can then be obtained1,p2,…,pNAnd (5) taking the number of the pictures shot in the period as N, taking the value of N as a natural number, and using time _ takentRepresenting the t-th picture pt(1. ltoreq. t. ltoreq.N).
In step 3 of the invention, a Geohash code with base32 coding length of 9 is adopted, the coding mode converts two-dimensional longitude and latitude into character strings, and 32 letters of 0-9 and b-z (a, i, l and o are removed) are used for carrying out base32 coding. When the coding length is 9, the maximum positioning precision can be theoretically reached to be about 2 meters. For a Geohash code, the approximate longitude and latitude before coding can be obtained by decoding.
In the present invention, for the set P ═ P1,p2,…,pNEach picture p int(1. ltoreq. t. ltoreq.N), the longitude lng of the shooting position thereof can be extractedtAnd latitude lattCalculating the Geohash code value geohtAnd the data is stored in a cache of the mobile terminal and can be directly accessed, so that repeated calculation is avoided.
In the invention, a plurality of picture clusters are displayed on a map of the mobile terminal, and each picture cluster is a set of a plurality of pictures. In step 4, the set of all the picture clusters is denoted as C ═ C1,c2,…,cmAnd (4) defining a set C to store all picture clusters, wherein only one picture cluster is stored at the beginning, namely all pictures are stored in the same picture cluster, and then the picture cluster is aggregated or split, and the number of the picture clusters is m, namely m is the most openInitially 1. c. C1Represents the first picture cluster, wherein the ith picture cluster is represented as
Wherein
Represents the ith picture cluster ciJ is more than or equal to 1 and is less than or equal to n in the jth picturei，niRepresenting a cluster of pictures ciThe number of the middle pictures, i is more than or equal to 1 and less than or equal to m, m is a natural number, and ciHaving four attribute values (geolen)i,timei,geoh_commoni,time_firstiTherein, geoleniDenotes ciThe Geohash codes the prefix length and timeiDenotes ciTime information of display, geoh _ commoniDenotes ciGeohash encoding, time _ firstiDenotes ciThe time of the earliest taken picture in the group;
in step 4 of the invention, when the user views the travel album, the map of the mobile terminal needs to be initialized first. All pictures are stored in the same picture cluster, i.e. C ═ C1}，c1＝{p1,p2,...,pNAre multiplied by
Wherein geolen1Denotes c1Geohash of (c) encodes a prefix length, geoh _ common1Denotes c1Time first, time _ first1Denotes c1Time of the earliest taken picture.
In step 4 of the invention, a picture cluster c needs to be calculated1Corresponding time information time needing to be displayed1. If c is1Only one picture or a plurality of pictures are taken but the shooting time is completely the same, the time is set1The format is set to "xx minutes xx seconds at xx according to the shooting time of the picture. Otherwise, according to c1The most specific same shooting time of all pictures (the most specific same shooting time meansThe same shooting time of the finest granularity of all pictures in the same picture cluster is acquired through a mobile terminal) is divided into 6 different situations:
(1) the most specific same shooting time is 'year', the time is set1Is arranged in a format of "xx years",
(2) the most specific same shooting time is 'month', then the time is set1Set in the format "xx months in xx years",
(3) the most specific same shooting time is 'day', the time is set1Arranged in the format of "xx months xx days xx years",
(4) the most specific same shooting time is 'time', the time is set1Set to the format "xx month xx day xx hour",
(5) the most specific same shooting time is divided into minutes, and then the time is determined1Is set to be in a format of "xx days xx hours xx minutes",
(6) otherwise, the time is set1Set to an empty string.
In step 4 of the invention, the map magnification levels of the mobile terminal are set to be k in total from 1 to k (considering that the magnification levels of common maps are all larger than 10, k is set to be larger than or equal to 10), and the number increase represents the map magnification. The picture cluster c needs to be marked on the map during initialization1And displaying c above the picture cluster1Time attribute of (2)1. At initialization, the map magnification level is set to 1, and the Geohash is coded as geoh _ common on the map1Mark a cluster of pictures c1While c is displayed above the mark1Time attribute of (2)1。
In step 5 of the present invention, after initialization, since the user may perform an operation of zooming in or zooming out on the map of the mobile terminal, the original image clusters may be split or aggregated. After the user operation is finished, the map amplification level is d, d is more than or equal to 1 and less than or equal to k, and the Geohash coding prefix length geolen _ new of the new picture cluster is calculated by the following formula:
where k is the map magnification level.
In step 6 of the present invention, when the zoom operation of the user on the map is finished, the cluster of pictures is C ═ C1,c2,...,cmComparing the Geohash coding prefix length of each picture cluster in the set C with the Geohash coding prefix length obtained in the step 5, and aggregating or splitting the picture clusters according to the sizes of geolen _ new and geolen, wherein three conditions exist:
(1) geolen _ new is smaller than geolen, when c is clustered for any picturei(i is more than or equal to 1 and less than or equal to m), mixing the geoh _ commoniMerging the picture clusters with the prefixes with the same Geohash _ new length into a new picture cluster, deleting a plurality of picture clusters before merging, updating the Geohash coding prefix length geolen of the new picture cluster to be geolen _ new, and updating the Geohash coding geoh _ common of the new picture cluster to be the longest common prefix of all the picture Geohash codes;
(2) geolen _ new is greater than geolen, when clustering for each picture
To ciAny picture in (1)
The Geohash coded value of
Will have the same geolen _ new length prefix
If a plurality of picture clusters are formed, the original picture cluster is divided into a plurality of new picture clusters, finally, for each picture cluster, the Geohash coding prefix length geolen of the new picture cluster is updated to be geolen _ new, and the Geohash coding geoh _ connon of the new picture cluster is updated to be the longest public prefix of the Geohash coding of all the pictures;
(3) geolen _ new equals Geolen, arbitrary Picture Cluster ci(1. ltoreq. i. ltoreq.m) without any change.
In step 6 of the present invention, when a new picture cluster is generated due to a user operation, the displayed time information time of each new picture cluster needs to be updated. If the picture cluster has only one picture or a plurality of pictures but the shooting time is completely the same, the time is set to be in the format of xx minutes xx seconds at xx according to the shooting time of the pictures. Otherwise, dividing the pictures into 6 different conditions according to the most specific same shooting time of all the pictures in the picture cluster:
(1) the most specific same photographing time is "year", the time is set in the format of "xx year",
(2) the most specific same photographing time is "month", time is set in the format of "xx months in xx",
(3) the most specific same shooting time is "day", time is set in the format of "xx month xx day xx year",
(4) the most specific same shooting time is "time", the time is set in the format of "xx month xx day xx time",
(5) the most specific same shooting time is "minute", time is set in the format "xx minutes on xx days xx",
(6) otherwise, time is set to the null string.
In step 7 of the present invention, when the user finishes zooming the map, the picture cluster needs to be displayed on the map of the terminal. Setting the map to a magnification level d and marking all clusters of pictures c on the mapi(1 ≦ i ≦ m) Geohash encoding of the marker position to geoh _ commoniWhile c is displayed above the markiTime attribute of (2)i。
In step 7 of the invention, for different picture clusters, each picture cluster represents pictures shot at different places, so that the picture clusters have a temporal precedence relationship, and the arrow marks are added among the picture clusters according to the invention. When all the picture clusters are C ═ C1,c2,…,cmFind out any picture cluster
Time _ first of the earliest captured picture in the picturei(1≤i≤m), the calculation formula is:
wherein
Represents a cluster ciTime of taking the jth picture, niIs a cluster ciThe number of the middle pictures, and then according to the picture cluster ciTime _ first of the earliest captured picture in the pictureiThe picture clusters are sorted from small to large, and the marks of 'arrows' pointing from the former to the latter are added among the corresponding picture clusters on the map according to the sorted order.
In the invention, the pictures recorded in the picture cluster can be checked by clicking the picture cluster. Meanwhile, the user can customize the time information and the arrow mark of whether the picture cluster needs to be displayed.
The idea of the invention is as follows: firstly, finding out pictures shot during the travel in a file manager of the mobile terminal according to the travel starting time and the travel ending time determined by a user; then calculating a Geohash coding value for each picture and storing the Geohash coding value in a cache to avoid repeated calculation; then initializing the display of a mobile terminal map and a picture cluster; and finally, determining the prefix length of the current Geohash code according to the zooming operation of a user on the map of the mobile terminal, splitting or aggregating the picture clusters, calculating the time information displayed above the new picture cluster mark, and adding an arrow mark representing the sequence of the picture clusters. Clicking on a picture cluster can view the pictures in the picture cluster.
Compared with the prior art, the invention has the beneficial effects that:
(1) the information such as the position, the shooting time and the like of the picture is introduced, the space and the time of the picture are associated for automatic management, and people can conveniently check the information such as the shooting time, the position and the like of the picture while checking the picture.
(2) The picture shooting time sequence relation is included, and the user can be helped to recall the experience of the trip and the travel.
(3) The display of the time information of the picture cluster can ensure the maximum granularity as much as possible, and a user can view more specific time information.
(4) The user can personalize the time information and the "arrow" mark whether to display the picture cluster.
Drawings
The foregoing and other advantages of the invention will become more apparent from the following detailed description of the invention when taken in conjunction with the accompanying drawings.
FIG. 1 is a flow chart of the steps of the present invention.
FIG. 2 is a flow chart of an embodiment of the present invention.
Detailed Description
The invention is further explained below with reference to the drawings and the embodiments.
The invention discloses a personalized customized picture management method supporting time-space association of a mobile terminal, which comprises the following steps:
step 1, before a trip starts, a user clicks a mobile terminal to determine the starting time of the trip, and determines the ending time of the trip when the trip is finished;
firstly, the user determines the starting time as time _ start and the ending time as time _ end at the terminal when the user moves.
Step 2, traversing a local album folder on the mobile terminal, and finding out the picture with the shooting time in the period according to the time range in the step 1;
then, the system traverses the local folder on the mobile terminal, extracts the shooting time _ taken of each picture file, and if the conditions are met: and time _ start is less than or equal to time _ taken is less than or equal to time _ end, which indicates that the picture is a picture shot in the period, and the picture is recorded. The picture set P ═ { P } taken during travel can be obtained1,p2,…,pNN is the number of pictures taken during this period, time _ takentRepresents ptThe shooting time (t is more than or equal to 1 and less than or equal to N).
Step 3, calculating the Geohash code values of all the pictures in the step 2 and storing the Geohash code values into a local cache;
second, for set P ═ P1,p2,…,pNEach picture p int(1. ltoreq. i.ltoreq.N), the longitude lng of the shooting position thereof can be extractedtAnd latitude lattCalculating the Geohash code value geohtAnd the data is stored in a cache of the mobile terminal and can be directly accessed, so that repeated calculation is avoided.
Step 4, determining the initial scaling of the map according to the Geohash coding values of all the pictures, initializing the map and marks of the picture clusters on the map, and enabling a user to click the picture clusters to view the pictures in the picture clusters;
then, a map interface of the mobile terminal is initialized. All pictures are stored in the same picture cluster, i.e. C ═ C1}，c1＝{p1,p2,...,pNAre multiplied by
Wherein geolen1Denotes c1Geohash of (c) encodes a prefix length, geoh _ common1Denotes c1Time first, time _ first1Denotes c1Time of the earliest taken picture.
At the same time, the picture cluster c needs to be calculated1Corresponding time information time needing to be displayed1. If c is1Only one picture or a plurality of pictures are taken but the shooting time is completely the same, the time is set1The format is set to "xx minutes xx seconds at xx according to the shooting time of the picture. Otherwise, according to c1The most specific same shooting time of all the pictures is divided into 6 different cases:
(1) the most specific same shooting time is 'year', the time is set1Is arranged in a format of "xx years",
(2) the most specific same shooting time is 'month', then the time is set1Set in the format "xx months in xx years",
(3) the most specific same shooting time is day", then time will be1Arranged in the format of "xx months xx days xx years",
(4) the most specific same shooting time is 'time', the time is set1Set to the format "xx month xx day xx hour",
(5) the most specific same shooting time is divided into minutes, and then the time is determined1Is set to be in a format of "xx days xx hours xx minutes",
(6) otherwise, the time is set1Set to an empty string.
You can initialize the map interface of the mobile terminal by setting the map zoom level to 1 and Geohash coding as Geoh _ common on the map1Mark a cluster of pictures c1While c is displayed above the mark1Time attribute of (2)1。
Step 5, determining the Geohash coding prefix length when each operation is finished according to the zooming gesture of the user on the map;
and finally, the map interface of the mobile terminal continuously responds to the gesture operation of the user, so the step 5-7 is a circulating process until the user exits the map interface of the mobile terminal and the circulation is finished.
In step 5 of the invention, after the user operation is finished, if the map magnification level is d (d is more than or equal to 1 and less than or equal to k), the Geohash coding prefix length geolen _ new of the new picture cluster is calculated, and the calculation formula is as follows:
where k is the map magnification level.
And 6, comparing the Geohash coding prefix length of the current picture cluster with the Geohash coding prefix length newly generated in the step 5, if the Geohash coding prefix length is larger, gathering some picture clusters, and if the Geohash coding prefix length is larger, traversing each picture cluster and splitting some picture clusters, otherwise, the picture clusters are not changed. For a newly generated picture cluster, the displayed time information of the picture cluster needs to be updated;
in step 6 of the present invention, first, it is necessary to first prepare the gelSize of en _ new and geolen, clustering or splitting picture cluster, where C ═ C1,c2,…,cmThere are three cases:
(1) geolen _ new is smaller than geolen, when c is clustered for any picturei(i is more than or equal to 1 and less than or equal to m), mixing the geoh _ commoniMerging the picture clusters with the prefixes with the same Geohash _ new length into a new picture cluster, deleting a plurality of picture clusters before merging, updating the Geohash coding prefix length geolen of the new picture cluster to be geolen _ new, and updating the Geohash coding geoh _ common of the new picture cluster to be the longest common prefix of all the picture Geohash codes;
(2) geolen _ new is greater than geolen, when clustering for each picture
To ciAny picture in (1)
The Geohash coded value of
Will have the same geolen _ new length prefix
If a plurality of picture clusters are formed, the original picture cluster is divided into a plurality of new picture clusters, finally, for each picture cluster, the Geohash coding prefix length geolen of the new picture cluster is updated to be geolen _ new, and the Geohash coding geoh _ common of the new picture cluster is updated to be the longest common prefix of all the Geohash codes of the pictures;
(3) geolen _ new equals Geolen, arbitrary Picture Cluster ci(1. ltoreq. i. ltoreq.m) without any change.
In step 6 of the present invention, the time attribute time of each new picture cluster needs to be updated. If the picture cluster has only one picture or a plurality of pictures but the shooting time is completely the same, the time is set to be in the format of xx minutes xx seconds at xx according to the shooting time of the pictures. Otherwise, dividing the pictures into 6 different conditions according to the most specific same shooting time of all the pictures in the picture cluster:
(1) the most specific same photographing time is "year", the time is set in the format of "xx year",
(2) the most specific same photographing time is "month", time is set in the format of "xx months in xx",
(3) the most specific same shooting time is "day", time is set in the format of "xx month xx day xx year",
(4) the most specific same shooting time is "time", the time is set in the format of "xx month xx day xx time",
(5) the most specific same shooting time is "minute", time is set in the format "xx minutes on xx days xx",
(6) otherwise, time is set to the null string.
And 7, updating and displaying the operation result of the user on a map interface of the mobile terminal, wherein the updating and displaying comprises the mark of the picture cluster on the map, the display of the time information of the picture cluster and the addition of the arrow mark between the picture clusters, and the user can check the pictures in the picture cluster by clicking the picture cluster.
In step 7 of the present invention, when the user finishes zooming the map, the picture cluster needs to be displayed on the map of the terminal. Setting the map to zoom level j and marking all picture clusters c on the mapi(1 ≦ i ≦ m) Geohash encoding of the marker position to geoh _ commoniWhile c is displayed above the markiTime attribute of (2)i. In addition, for different picture clusters, each picture cluster represents pictures shot at different places, so that the picture clusters have a temporal precedence relationship, and an arrow mark is added between the picture clusters. When all the picture clusters are C ═ C1,c2,…,cmFind out any picture cluster
Time _ first of the earliest captured picture in the picturei(i is more than or equal to 1 and less than or equal to m), and the calculation formula is as follows:
wherein
Represents a cluster ciTime of taking the jth picture, niIs a cluster ciThe number of middle pictures, and then the time _ firsti(1 ≦ i ≦ m) ordered from small to large, with the addition of "arrow" marks from the former straight to the latter between the clusters of pictures that they represent.
Examples
The present embodiment uses a data set where a traveler plays on Zhongshan mountain on 28/12/2016 and randomly takes several pictures along the way using a smartphone to perform experiments.
Before travel, a traveler determines that the travel start time is 2016, 12, 28, 9, 12, 13, minutes and 13 seconds (the Unix timestamp is 1482887533 seconds), and when the travel ends, the traveler determines that the travel end time is 2016, 12, 28, 17, 16, 11, minutes and 11 seconds (the Unix timestamp is 1482916571 seconds).
After the travel is finished, a certain traveler wants to check the pictures shot in the travel, opens the mobile phone album, selects the travel, and jumps to the map interface. Firstly, the mobile phone system traverses a local album folder and searches for a picture with shooting time t (represented by a Unix timestamp) of 1482887533-1482916571.
Then, the system extracts the longitude and latitude of the shooting place of the pictures, calculates the Geohash code of each picture and stores the Geohash code in the mobile phone cache to obtain the pictures and the corresponding Geohash codes and other information, as shown in Table 1.
TABLE 1 information of pictures taken during travel
Then, initialize the map interface of the smart phone: the map enlargement level has 16 levels (the larger the number is, the map enlargement is), namely k is 16, and C is { C { (C) } in the case that k is 161}，c1＝{p1,p2,…,p20And is obtained from the formula (1)
Then calculate the time1Is "2016, 12 months, 28 days". The system sets the map magnification level to 1, marking c at the geo-hash code of "wtsw 2" (i.e., the longitude and latitude are 118.82814646, 32.03615427, respectively) of the map1While the time "2016, 12, and 28 days" is noted above the marker.
And finally, the map interface of the mobile terminal continuously responds to the gesture operation of the user. For example, when the user zooms in the map and the zoom level of the map is 11, the Geohash encoding prefix length is 6 at this time, and C ═ C is calculated by equation (2)1Will be split into three new clusters of pictures, c respectively1＝{p1,p2,…,p5}，c2＝{p6,p7,…,p17}，c3＝{p18,p19,p20}. At this time, C ═ C1,c2,c3H, update c1,c2,c3The Geohash code prefix length of 6, update c1,c2,c3The Geohash codes of (1) are "wtsw 26", "wtsw 2 s" and "wtsw 2 t", respectively. At the same time, c is calculated1,c2,c3Time of (1) are "10 hours on 28 th 12 month", "28 days on 12 month 2016", and "15 hours on 28 th 12 month 12".
At this time, the map of the mobile terminal will be set to a zoom level of 11, and a mark c is marked on the map where the geo-hash is coded as "wtsw 26" (i.e. the longitude and latitude are 118.83913279 and 32.04714060, respectively)1On the map, mark c is marked at the position where Geohash is coded as 'wtsw 2 s' (namely, the position where longitude and latitude are 118.85011911 and 32.05812693 respectively)2On the map, mark c is marked at the position where Geohash is coded as 'wtsw 2 t' (namely, the position where longitude and latitude are 118.85011911 and 32.06362009 respectively)3At c, in1,c2,c3The times "12 month, 28 days 10", "2016 year, 12 month, 28 days" and "12 month, 28 days, 15" are indicated above the marks. Then find out c respectively1,c2,c3Calculating the time of the earliest shot picture by using a formula (3) to obtain the time _ first1,time_first2,time_first31482891165, 1482895822 and 1482909225, respectively, and thus c is added1Point of direction c2And from c2Point of direction c3Is marked by the "arrow".
The map interface of the mobile terminal can respond to the gesture operation of the user circularly until the user exits the map album.
The present invention provides a personalized customized picture management method supporting temporal spatial correlation of a mobile terminal, and a method and a way for implementing the technical solution are many, and the above description is only a preferred embodiment of the present invention, and it should be noted that, for those skilled in the art, a plurality of improvements and embellishments can be made without departing from the principle of the present invention, and these improvements and embellishments should also be regarded as the protection scope of the present invention. All the components not specified in the present embodiment can be realized by the prior art.
Claims (7)
1. The personalized customized picture management method supporting the time-space association of the mobile terminal is characterized by comprising the following steps of:
step 1, before the travel starts, determining the starting time _ start of the travel, and determining the ending time _ end of the travel when the travel is finished, so as to obtain a time range;
step 2, traversing the local photo album on the mobile terminal, and inquiring the picture with the shooting time in the range according to the time range in the step 1;
step 3, calculating and storing the Geohash code values of all the pictures in the step 2;
step 4, determining the initial map scaling according to the Geohash code values of all the pictures, and initializing the marks of the map and the picture clusters on the map;
step 5, determining the Geohash coding prefix length when the user completes each operation;
step 6, comparing the Geohash coding prefix length of the current picture cluster with the Geohash coding prefix length newly generated in the step 5, and if the Geohash coding prefix length is larger than the Geohash coding prefix length, aggregating the picture clusters; if the latter is larger, traversing each picture cluster and splitting the picture cluster; if the lengths of the two pictures are equal, the picture cluster is not changed; updating the displayed time information of the newly generated picture cluster;
step 7, updating a display result on a map interface of the mobile terminal;
the step 2 comprises the following steps: traversing a local photo album on the mobile terminal, extracting the shooting time _ taken of each picture file, and if the condition that the time _ start is less than or equal to the time _ taken is less than or equal to the time _ end is met, indicating that the picture is a picture shot in the period, recording the picture; traversing the local photo album to obtain a picture set P ═ { P ═ P1，p2，...，pNAnd (5) taking the number of the pictures shot in the period as N, taking the value of N as a natural number, and using time _ takentRepresenting the t-th picture ptT is more than or equal to 1 and less than or equal to N;
the step 3 comprises the following steps: adopting base32 to encode Geohash code with length of 9, traversing each picture in picture set user, extracting longitude and latitude of shooting position, calculating Geohash code value, storing into buffer memory of mobile terminal, the t picture ptLongitude of the shooting position is recorded as lngtAnd latitude is recorded as lattThe Geohash code value is noted as geoht；
Step 4 comprises the following steps:
the set of all picture clusters is denoted as C ═ C1，c2，...，cmWherein the ith picture cluster is represented as
Wherein
Represents the ith picture cluster ciJ is more than or equal to 1 and is less than or equal to n in the jth picturei，niRepresenting a cluster of pictures ciThe number of the middle pictures, i is more than or equal to 1 and less than or equal to m, m is a natural number, and ciHaving four attribute values (geolen)i，timei，geoh_commoni，time_firstiTherein, geoleniDenotes ciThe Geohash codes the prefix length and timeiDenotes ciTime information of display, geoh _ commoniDenotes ciGeohash encoding, time _ firstiDenotes ciThe time of the earliest taken picture in the group;
when initializing the map, all pictures are stored in the same picture cluster, i.e. C ═ C1}，c1＝{p1，p2，...，pNAnd:
wherein geolen1Denotes c1Geohash of (c) encodes a prefix length, geoh _ common1Denotes c1Time first, time _ first1Denotes c1Time of the earliest taken picture.
2. The method of claim 1, wherein in step 4, a picture cluster c needs to be determined1Corresponding time information time needing to be displayed1If c is a1Only one picture or more than two pictures are shot at the same time, and the time is set1Setting the picture to be xx minutes xx seconds when the picture is in xx according to the shooting time of the picture; otherwise, according to c1The most specific same shooting time of all pictures is divided into the following 6 different cases:
if the most specific same shooting time is year, the time is set1Setting the format to xx years;
if the most specific identical shooting time is a month, the time is set1Arranged into a formatXx months;
if the most specific same shooting time is day, the time is set1Set to the format xx month xx days xx years;
if the most specific same shooting time is time, the time is set1Set to the format xx month xx day xx;
if the most specific same shooting time is divided into minutes, the time is divided1Setting the format to xx days xx and xx minutes;
in other cases, the time is set1Set to an empty string.
3. The method as claimed in claim 2, wherein in step 4, the map magnification level is set to k kinds from 1 to k, and the digital increase represents the map magnification, the map magnification level is initialized to 1, and the geo-hash is coded as geo _ common on the map1Mark a cluster of pictures c1While c is displayed above the mark1Time attribute of (2)1。
4. The method according to claim 3, wherein in step 5, when the user performs the map zooming-in or zooming-out operation, the map zooming-in level is d after the user operation is finished, and d is greater than or equal to 1 and less than or equal to k, then the Geohash coding prefix length geolen _ new of the new picture cluster is calculated by the following formula:
5. the method of claim 4, wherein step 6 comprises: comparing the Geohash coding prefix length of each picture cluster in the set C with the Geohash coding prefix length obtained in the step 5, and aggregating or splitting the picture clusters, wherein the method comprises the following three conditions:
if the Geohash coded prefix length geolen _ new of the new picture cluster is less than the Geohash coded prefix length of the current picture cluster, then any picture cluster c is subjected to the Geohash coded prefix lengthiThe Geohash of the code is coded into the geoh _ commoniMerging the picture clusters with the prefixes with the same geoHash _ new length into a new picture cluster, deleting the picture cluster before merging, updating the Geohash coding prefix length geoHash of the new picture cluster to be geoHash _ new, and updating the Geohash coding geoh _ common of the new picture cluster to be the longest common prefix of Geohash coding of all pictures;
if the Geohash coding prefix length geolen _ new of the new picture cluster is greater than the Geohash coding prefix length of the current picture cluster, then for each picture cluster
To ciAny picture in (1)
The Geohash coded value of
Will have the same geolen _ new length prefix
The pictures are stored in the same picture cluster, if more than two picture clusters are formed, the original picture cluster is split into more than two corresponding new picture clusters, finally, for each picture cluster, the Geohash coding prefix length geolen of the new picture cluster is updated to be geolen _ new, and the Geohash coding geoh _ common of the updated picture cluster is the longest common prefix of all the Geohash codes of the pictures;
if the Geohash coding prefix length geolen _ new of the new picture cluster is equal to the Geohash coding prefix length of the current picture cluster, any picture cluster is not changed.
6. The method of claim 5, wherein in step 6, the time information time displayed in each new picture cluster needs to be updated, and if the picture cluster has only one picture or more than two pictures but the shooting time is completely the same, the time is set to xx minutes xx seconds in the format of xx according to the shooting time of the pictures; otherwise, the following 6 different situations are divided according to the most specific same shooting time of all pictures in the picture cluster:
if the most specific same shooting time is year, time is set in the format of xx years,
if the most specific same shooting time is a month, time is set in the format of xx months,
if the most specific same photographing time is day, time is set in the format xx year xx month xx day,
if the most specific identical photographing time is time, time is set to be in the format xx month xx day xx,
if the most specific identical shooting time is minutes, time is set to be in the format of xx days xx hours xx minutes,
otherwise, time is set to the null string.
7. The method of claim 6, wherein step 7 comprises:
step 7-1, setting the map as a magnification level d, and marking all picture clusters c on the mapiThe Geohash of the mark position is coded as geoh _ commoniWhile c is displayed above the markiTime attribute of (2)i；
Step 7-2, adding arrow marks among the picture clusters according to the shooting time of the pictures in the picture clusters, wherein all the picture clusters are C ═ { C ═ C at the moment1，c2，...，cmFind out any picture cluster
Time _ first of the earliest captured picture in the pictureiThe calculation formula is as follows:
wherein
Representing a cluster of pictures ciShooting of the jth pictureTaking time, then according to the picture cluster ciTime _ first of the earliest captured picture in the pictureiThe clusters of pictures are ordered from small to large.
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