CN106156247B - Image management method and device - Google Patents
Image management method and device Download PDFInfo
- Publication number
- CN106156247B CN106156247B CN201510208248.1A CN201510208248A CN106156247B CN 106156247 B CN106156247 B CN 106156247B CN 201510208248 A CN201510208248 A CN 201510208248A CN 106156247 B CN106156247 B CN 106156247B
- Authority
- CN
- China
- Prior art keywords
- image
- grouped
- images
- characteristic information
- pixel characteristic
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Active
Links
Images
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/50—Information retrieval; Database structures therefor; File system structures therefor of still image data
- G06F16/58—Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually
- G06F16/583—Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually using metadata automatically derived from the content
- G06F16/5838—Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually using metadata automatically derived from the content using colour
Abstract
The invention provides an image management method and device, wherein the method comprises the following steps: acquiring pixel characteristic information of an image to be grouped, wherein the pixel characteristic information is used for representing pixel characteristics corresponding to specified image content in the image to be grouped; and dividing the images to be grouped with the same pixel characteristic information into the same category group. By adopting the technical scheme provided by the invention, the problem that no effective technical scheme is available in the related technology to effectively manage a large number of photos shot by a user is solved, a convenient and quick image management mode is provided, and the user experience is greatly improved.
Description
Technical Field
The present invention relates to the field of communications, and in particular, to an image management method and apparatus.
Background
With the rapid development of digital imaging technology and the rapid marketing of smart phones with photographing functions, the demand of people for rapid photographing is greatly met, and with the appearance of a large number of high-quality digital photos, how to effectively and reasonably manage the photos is an important problem often faced by people.
Aiming at the problems of how to effectively manage a large number of photos taken by a user and the like in the related technology, an effective solution is not provided yet.
Disclosure of Invention
In order to solve the technical problem, the invention provides an image management method and device.
According to an aspect of the present invention, there is provided an image management method including: acquiring pixel characteristic information of an image to be grouped, wherein the pixel characteristic information is used for representing pixel characteristics corresponding to specified image content in the image to be grouped; and dividing the images to be grouped with the same pixel characteristic information into the same category group.
Preferably, the obtaining of the pixel characteristic information of the image to be grouped includes: acquiring image background information of the images to be grouped; and/or acquiring image foreground information of the images to be grouped.
Preferably, after dividing the images to be grouped into the same category group, the method further includes: and generating an index picture according to the pixel characteristic information, wherein different identifications of the index picture are used for being linked to different images in the category group.
Preferably, generating an index picture according to the pixel feature information includes: extracting part or all of image contents corresponding to other image contents, wherein the other image contents are image contents in the image to be grouped except the designated image contents corresponding to the pixel characteristic information; and generating the index picture by the partial or all image contents according to a specified arrangement rule.
Preferably, after dividing the images to be grouped into the same category group, the method further includes: saving attribute information corresponding to the category group, wherein the attribute information includes: the number of images included in the category group.
According to another aspect of the present invention, there is also provided an image management apparatus including: the device comprises an acquisition module, a grouping module and a processing module, wherein the acquisition module is used for acquiring pixel characteristic information of an image to be grouped, and the pixel characteristic information is used for representing pixel characteristics corresponding to specified image content in the image to be grouped; and the dividing module is used for dividing the images to be grouped with the same pixel characteristic information into the same category group.
Preferably, the obtaining module is configured to obtain image background information of the image to be grouped; and/or acquiring image foreground information of the images to be grouped.
Preferably, the apparatus further comprises: and the generation module is used for generating an index picture according to the pixel characteristic information, wherein different identifiers of the index picture are used for being linked to different images in the category group.
Preferably, the generating module includes: the extraction unit is used for extracting part or all of image contents corresponding to other image contents, wherein the other image contents are image contents except the designated image contents corresponding to the pixel characteristic information in the image to be grouped; and the generating unit is used for generating the index pictures by the part or all of the image contents according to a specified arrangement rule.
Preferably, the apparatus further comprises: a storage module, configured to store attribute information corresponding to the category group, where the attribute information includes: the number of images included in the category group.
By the method and the device, the images containing the same pixel characteristic information can be divided into one group, the problem that an effective technical scheme is not available in the related technology to effectively manage a large number of photos shot by a user is solved, a convenient and quick image management mode is provided, and user experience is greatly improved.
Drawings
The accompanying drawings, which are included to provide a further understanding of the invention and are incorporated in and constitute a part of this application, illustrate embodiment(s) of the invention and together with the description serve to explain the invention without limiting the invention. In the drawings:
FIG. 1 is a flow chart of an image management method according to an embodiment of the invention;
FIG. 2 is a block diagram of an image management apparatus according to an embodiment of the present invention;
FIG. 3 is another block diagram of an image management apparatus according to an embodiment of the present invention;
FIG. 4 is a schematic illustration of a splice according to a preferred embodiment of the present invention;
fig. 5 is a schematic diagram of a splice according to a second preferred embodiment of the present invention.
Detailed Description
The invention will be described in detail hereinafter with reference to the accompanying drawings in conjunction with embodiments. It should be noted that the embodiments and features of the embodiments in the present application may be combined with each other without conflict.
Additional features and advantages of the invention will be set forth in the description which follows, and in part will be obvious from the description, or may be learned by practice of the invention. The objectives and other advantages of the invention will be realized and attained by the structure particularly pointed out in the written description and claims hereof as well as the appended drawings.
In order to make the technical solutions of the present invention better understood, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
In an embodiment of the present invention, an image management method is further provided, and fig. 1 is a flowchart of the image management method according to the embodiment of the present invention, as shown in fig. 1, including the following steps:
step S102, obtaining pixel characteristic information of an image to be grouped, wherein the pixel characteristic information is used for representing pixel characteristics corresponding to the content of a specified image in the image to be grouped;
and step S104, dividing the images to be grouped with the same pixel characteristic information into the same category group.
Through the steps, the images containing the same pixel characteristic information can be divided into one group, the problem that an effective technical scheme is not available in the related technology to effectively manage a large number of photos shot by a user is solved, a convenient and fast image management mode is provided, and user experience is greatly improved.
In an actual application process, the content of the designated image may include multiple aspects, for example, the images to be grouped may all include pixel features of a certain object or person, and all of the pixel features may be selected to divide the images into one group, and in an optional implementation manner, the step S102 may be to obtain image background information of the images to be grouped; and/or obtaining image foreground information of the image to be grouped, that is, the same pixel characteristic information can indicate two conditions: one is that the background of the image contains the same pixel characteristic information, and the other is that the foreground of the image (information other than the background in the image) contains the same pixel characteristic information.
Optionally, after the step S104 is executed, a process may be further executed to generate an index picture according to the pixel feature information, where different identifiers of the index picture are used to link to different images in the category group, that is, the index picture includes a plurality of indexes, each index can link to a corresponding image, the index picture in the embodiment of the present invention is preferentially placed on a cover in the category group, and a user can quickly find the images corresponding to the different identifiers through the index picture of the cover, where of course, the identifier may be a chart, or may be any identifier that enables the user to quickly find the corresponding picture, and the embodiment of the present invention is not limited thereto. Here, the link may be a relative position link (which may also be understood as a relative path) between the newly generated picture and the original picture, for example, a relative position link similar to \\ \ doc \ pic \111.jpeg, which is commonly used in computer applications; of course, absolute positions such as d: \ doc \ pic \111.jpeg may also be used.
In the embodiment of the present invention, generating an index picture according to the pixel feature information may be implemented by the following processes: extracting part or all of image contents corresponding to other image contents, wherein the other image contents are image contents except the designated image contents corresponding to the pixel characteristic information in the image to be grouped; the above scheme may be understood as that, the designated image content corresponding to the same pixel characteristic information is used as a background of the index picture, and other image content is used as an identifier of the index picture.
It should be noted that the above technical solution of specifying the arrangement rule may be understood as such, and of course, the embodiment of the present invention is not limited to this, when the foreground is the same and the background is different, and when new pixel feature information is placed, the foreground cannot be covered, and the part with obvious background feature value may be divided into a square grid array according to the whole image, and these background features are placed in several squares and do not overlap with each other; when the background is the same and the foreground is different, the features of the foreground part are respectively put into several squares without overlapping with each other, similarly to the above.
For better understanding of the above technical solution, the following description is made with reference to an example, for example, a group of images all include an identical photographic background egypt pyramid, so that a user can extract pixels corresponding to the egypt pyramid including identical pixel feature information from the images, each image has a remaining image corresponding to the extracted pyramid pixel, it should be noted that the remaining images can be understood as the above other content images, the remaining images corresponding to each image can be arranged on the image with the pyramid background according to the above specified arrangement rule (which may be a clockwise order, a counterclockwise order, or another image order specified by the user, which is not limited in this embodiment of the present invention), and the remaining image corresponding to each image is set as a link index, and the link index can be clicked to index a complete image corresponding to the remaining image, the link index relationship between the residual image and the complete image can be stored in the terminal, and when the residual image in the index picture is clicked, the link index relationship is inquired and further linked to the corresponding complete image.
Of course, if the user needs to know the number of images and the shooting time for shooting the designated image within a period of time, the embodiment of the present invention further provides the following scheme, which stores the attribute information corresponding to the category group, wherein the attribute information includes: the number of images included in the above-mentioned category group.
The above technical solution can be understood by the following examples: for a group of photos (the group of photos can be in one directory, can be in different directories, or on the network), processing the photos with approximately the same background by an intelligent pattern recognition method to generate a new index photo which can have a linking function; or processing the photos with approximately same foreground but different backgrounds to generate a new index photo with a link function, wherein any other photo in the group of photos can be conveniently viewed through the index photo, and the index photo has a very intuitive expression (for example, when the index photo has the same background, it represents that a plurality of people take photos in the background, and when the index photo has different backgrounds, it represents that one person takes photos in different places). The index photo after the processing is a very effective means for quickly browsing photos.
For better understanding of the above image management method, the following description is made in conjunction with an embodiment, but is not intended to limit the embodiment of the present invention:
in general, a photo is mostly redundant in spatial pixels, that is, deleting the content part affects the understanding of the photo, and only a small amount of space is the main expression content representing the photo, and based on this consideration, the photo can be considered in two types: one is the same background and different foreground; one is that the background is different and the foreground is the same. The description is respectively made:
in the first case: same background and different foreground
For a selected group of photographs, the group of photographs is analyzed using artificial intelligence pattern recognition techniques, which in an embodiment of the invention may be analyzed by: if most of the spatial pixels of the group of photos are consistent and only a small part of the data is different, such as mainly people or scenes, it can be considered that for this selection, one of the photos is selected as the main photo P, then the foreground part of the other photos different from the photo is read out as the object Ox and finally placed in the spatially redundant part of the main photo P without obstructing the main foreground part of the photo, and the put-through Ox has a link attribute pointing to the photo taking the object Ox; through an iteration mode, after the group of photos are processed, an aggregate photo Pa with an index function is formed, and a user can conveniently browse specific photos of different objects in the background through links of all the objects on the Pa.
It should be noted that, in the process of selecting photos, the user may select a plurality of images that the user needs to group from photos that have completed the photographing function, the terminal may automatically classify all images stored in the terminal, or the terminal may automatically remind the user whether to perform image classification immediately after the user completes the photographing of a new photo, and if so, the classification of the current photo is completed according to the image management method of the above embodiment.
In the second case: different background and same foreground
For a selected group of photographs, the group of photographs is analyzed using artificial intelligence pattern recognition techniques, which in an embodiment of the invention may be analyzed by: if most of the spatial pixels of the group of photos are inconsistent and only a small part of the data is the same, such as mainly people or scenes are the same, but the backgrounds are basically different, then it can be considered that for this selection, one of the photos is selected as the main photo P (the main photo selects that the background is simple but the foreground is prominent), then the background part of the other photos other than this photo is read out as the object Ox and finally placed in the spatially redundant part of the main photo P without obstructing the main foreground part of the photo, and the placed Ox has a link attribute, which points to the photo from which the object Ox is obtained; through an iteration mode, after the group of photos are processed, a set photo Pa with an index function is formed, and a user can conveniently browse specific photos of different objects under the foreground through the links of all the objects on the Pa.
Through the description of the two cases, it can be seen that the index photo obtained in the first case is natural and vivid, and the photo obtained in the second mode can give the user an intuitive and rapid method for managing photos although the splicing trace is possibly obvious.
It should be noted that, for simplicity of description, the above-mentioned method embodiments are described as a series of acts or combination of acts, but those skilled in the art will recognize that the present invention is not limited by the order of acts, as some steps may occur in other orders or concurrently in accordance with the invention. Further, those skilled in the art should also appreciate that the embodiments described in the specification are preferred embodiments and that the acts and modules referred to are not necessarily required for the invention.
In this embodiment, an image management apparatus is further provided, which is used to implement the foregoing embodiments and preferred embodiments, and the description already made is omitted, and the modules involved in the apparatus are described below. As used below, the term "module" may be a combination of software and/or hardware that implements a predetermined function. Although the means described in the embodiments below are preferably implemented in software, an implementation in hardware, or a combination of software and hardware is also possible and contemplated. Fig. 2 is a block diagram of an image management apparatus according to an embodiment of the present invention. As shown in fig. 2, the apparatus includes:
an obtaining module 20, configured to obtain pixel feature information of an image to be grouped, where the pixel feature information is used to represent a pixel characteristic corresponding to a content of a specified image in the image to be grouped;
and the dividing module 22 is connected with the obtaining module 20 and is used for dividing the images to be grouped into the same category group, wherein the images to be grouped have the same pixel characteristic information.
Through the comprehensive application of the modules, the images containing the same pixel characteristic information can be divided into one group, the problem that an effective technical scheme is not available in the related technology to effectively manage a large number of photos shot by a user is solved, a convenient and fast image management mode is provided, and the user experience is greatly improved.
Optionally, the obtaining module 20 is configured to obtain image background information of the to-be-grouped images; and/or acquiring image foreground information of the images to be grouped.
In order to implement the above technical solution, fig. 3 is another structural block diagram of an image management apparatus according to an embodiment of the present invention, and as shown in fig. 3, the apparatus further includes: a generating module 24, configured to generate an index picture according to the pixel feature information, where different identifiers of the index picture are used to link to different images in the category group, where the generating module 24 includes: an extracting unit 240, configured to extract part or all of image contents corresponding to other image contents, where the other image contents are image contents in the to-be-grouped image except the designated image content corresponding to the pixel feature information; the generating unit 242 is connected to the extracting unit 240, and is configured to generate the index picture according to a specified arrangement rule from the part or all of the image contents.
As shown in fig. 3, the apparatus further includes: a storage module 26, configured to store attribute information corresponding to the category group, where the attribute information includes: the number of images included in the above-mentioned category group.
For better understanding of the above image management method and apparatus, the following description is made in conjunction with preferred embodiments:
preferred embodiment 1
Same background, different foreground, as shown in FIG. 4
Fig. 4 is a schematic diagram of a stitching process according to a preferred embodiment of the present invention, as shown in fig. 4, 5 rectangles with oblique lines in fig. 4 indicate that the background of the photograph is the same, and triangles, diamonds, squares and ellipses in the drawing indicate foreground portions of the image, after the data analysis process of the photograph, for a small portion of different foreground data with most of the same background data, different foreground data can be extracted and stitched into a sheet, and a link attribute is given to the object, which can be directly linked to the image corresponding to the object.
Step 1, selecting a group of photos, carrying out data analysis on the photos, wherein an artificial intelligent mode recognition mode can be adopted, and the photos to be processed can be analyzed to be a group of photos with approximately same backgrounds and different foregrounds by the technical means;
step 2, according to the analysis result, selecting one picture as a main picture, and extracting and splicing main foreground parts on other pictures to a non-foreground area of the main picture;
step 3, when the extracted foreground part is spliced, forming a link according to the position of the picture;
and 4, when the processed photo is formed, different foreground parts of the photo have different links, and the corresponding photo can be directly browsed through the links.
Preferred embodiment two
Different background, same foreground, as shown in FIG. 5
Fig. 5 is a schematic diagram of a stitching process according to a second preferred embodiment of the present invention, as shown in fig. 5, a foreground portion (indicated by a triangle in fig. 5) of an image in fig. 5 is the same, an intermediate index picture combines backgrounds of four different background images as a background of the intermediate index picture, after data analysis processing on a photo, for a small portion of the same foreground data with a large portion of different background data, different background data can be extracted and stitched onto a picture, and a link attribute is given to the object, which can be directly linked to the picture corresponding to the object.
Step 1, selecting a group of photos, carrying out data analysis on the photos, wherein an artificial intelligent mode recognition mode can be adopted, and the photos to be processed can be analyzed to be a group of photos with approximately same foreground and different backgrounds by the technical means;
step 2, according to the analysis result, selecting a picture as a main picture, and extracting and splicing main background parts on other pictures to a non-foreground area of the main picture;
step 3, when the extracted background part is spliced, a link is formed according to the position of the picture;
and 4, when the photo is formed after the processing, different background parts of the photo have different links, and the corresponding photo can be directly browsed through the links.
In summary, the embodiments of the present invention achieve the following technical effects: the problem that an effective technical scheme for effectively managing a large number of photos shot by a user is unavailable in the related technology is solved, a convenient and fast image management mode is provided, and user experience is greatly improved.
In another embodiment, a software is provided, which is used to execute the technical solutions described in the above embodiments and preferred embodiments.
In another embodiment, a storage medium is provided, in which the software is stored, and the storage medium includes but is not limited to: optical disks, floppy disks, hard disks, erasable memory, etc.
It should be noted that the terms "first," "second," and the like in the description and claims of the present invention and in the drawings described above are used for distinguishing between similar elements and not necessarily for describing a particular sequential or chronological order. It is to be understood that the objects so used are interchangeable under appropriate circumstances such that the embodiments of the invention described herein are capable of operation in sequences other than those illustrated or described herein. Furthermore, the terms "comprises," "comprising," and "having," and any variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or apparatus that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed, but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.
It will be apparent to those skilled in the art that the modules or steps of the present invention described above may be implemented by a general purpose computing device, they may be centralized on a single computing device or distributed across a network of multiple computing devices, and alternatively, they may be implemented by program code executable by a computing device, such that they may be stored in a storage device and executed by a computing device, and in some cases, the steps shown or described may be performed in an order different than that described herein, or they may be separately fabricated into individual integrated circuit modules, or multiple ones of them may be fabricated into a single integrated circuit module. Thus, the present invention is not limited to any specific combination of hardware and software.
The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention, and various modifications and changes may be made by those skilled in the art. Any modification, equivalent replacement, or improvement made within the spirit and principle of the present invention should be included in the protection scope of the present invention.
Claims (8)
1. An image management method, comprising:
acquiring pixel characteristic information of an image to be grouped, wherein the pixel characteristic information is used for representing pixel characteristics corresponding to specified image content in the image to be grouped;
dividing the images to be grouped with the same pixel characteristic information into the same category group;
and generating an index picture according to the pixel characteristic information, wherein different identifications of the index picture are used for being linked to different images in the category group.
2. The method of claim 1, wherein obtaining pixel feature information of the images to be grouped comprises:
acquiring image background information of the images to be grouped; and/or
And acquiring image foreground information of the images to be grouped.
3. The method of claim 1, wherein generating an index picture according to the pixel feature information comprises:
extracting part or all of image contents corresponding to other image contents, wherein the other image contents are image contents in the image to be grouped except the designated image contents corresponding to the pixel characteristic information;
and generating the index picture by the partial or all image contents according to a specified arrangement rule.
4. The method according to claim 1, wherein after the images to be grouped having the same pixel characteristic information are classified into the same category group, the method further comprises:
saving attribute information corresponding to the category group, wherein the attribute information includes: the number of images included in the category group.
5. An image management apparatus, characterized by comprising:
the device comprises an acquisition module, a grouping module and a processing module, wherein the acquisition module is used for acquiring pixel characteristic information of an image to be grouped, and the pixel characteristic information is used for representing pixel characteristics corresponding to specified image content in the image to be grouped;
the dividing module is used for dividing the images to be grouped with the same pixel characteristic information into the same category group;
and the generation module is used for generating an index picture according to the pixel characteristic information, wherein different identifiers of the index picture are used for being linked to different images in the category group.
6. The apparatus according to claim 5, wherein the obtaining module is configured to obtain image background information of the images to be grouped; and/or acquiring image foreground information of the images to be grouped.
7. The apparatus of claim 5, wherein the generating module comprises:
the extraction unit is used for extracting part or all of image contents corresponding to other image contents, wherein the other image contents are image contents except the designated image contents corresponding to the pixel characteristic information in the image to be grouped;
and the generating unit is used for generating the index pictures by the part or all of the image contents according to a specified arrangement rule.
8. The apparatus of claim 5, further comprising:
a storage module, configured to store attribute information corresponding to the category group, where the attribute information includes: the number of images included in the category group.
Priority Applications (2)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201510208248.1A CN106156247B (en) | 2015-04-28 | 2015-04-28 | Image management method and device |
| PCT/CN2015/098118 WO2016173278A1 (en) | 2015-04-28 | 2015-12-21 | Image management method and device |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201510208248.1A CN106156247B (en) | 2015-04-28 | 2015-04-28 | Image management method and device |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN106156247A CN106156247A (en) | 2016-11-23 |
| CN106156247B true CN106156247B (en) | 2020-09-15 |
Family
ID=57198098
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201510208248.1A Active CN106156247B (en) | 2015-04-28 | 2015-04-28 | Image management method and device |
Country Status (2)
| Country | Link |
|---|---|
| CN (1) | CN106156247B (en) |
| WO (1) | WO2016173278A1 (en) |
Families Citing this family (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106648372A (en) * | 2016-12-29 | 2017-05-10 | 北京小米移动软件有限公司 | Method and device for managing images |
| CN109756776B (en) * | 2017-11-02 | 2022-01-18 | 中国电信股份有限公司 | Image processing method, apparatus and computer-readable storage medium |
| CN110008364B (en) * | 2019-03-25 | 2023-05-02 | 联想(北京)有限公司 | Image processing method, device and system |
Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102033958A (en) * | 2010-12-28 | 2011-04-27 | Tcl数码科技（深圳）有限责任公司 | Photo sort management system and method |
| CN103207870A (en) * | 2012-01-17 | 2013-07-17 | 华为技术有限公司 | Method, server, device and system for photo sort management |
Family Cites Families (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2004015987A1 (en) * | 2002-08-09 | 2004-02-19 | Sharp Kabushiki Kaisha | Image combination device, image combination method, image combination program, and recording medium containing the image combination program |
| US7519200B2 (en) * | 2005-05-09 | 2009-04-14 | Like.Com | System and method for enabling the use of captured images through recognition |
| US7831141B2 (en) * | 2007-03-29 | 2010-11-09 | Sony Ericsson Mobile Communications Ab | Mobile device with integrated photograph management system |
| US8254684B2 (en) * | 2008-01-02 | 2012-08-28 | Yahoo! Inc. | Method and system for managing digital photos |
| CN101695198B (en) * | 2009-11-02 | 2012-01-18 | 中国电信股份有限公司 | Method and system for realizing optimizing page pictures of wireless application protocol |
| CN103207879B (en) * | 2012-01-17 | 2016-03-30 | 阿里巴巴集团控股有限公司 | The generation method and apparatus of image index |
| CN103034714A (en) * | 2012-12-11 | 2013-04-10 | 北京百度网讯科技有限公司 | Mobile terminal, picture sorting management method and picture sorting management device of mobile terminal |
| CN104408061B (en) * | 2014-10-29 | 2017-03-08 | 努比亚技术有限公司 | Photograph album management method and device |
| CN104331509A (en) * | 2014-11-21 | 2015-02-04 | 深圳市中兴移动通信有限公司 | Picture managing method and device |
-
2015
- 2015-04-28 CN CN201510208248.1A patent/CN106156247B/en active Active
- 2015-12-21 WO PCT/CN2015/098118 patent/WO2016173278A1/en active Application Filing
Patent Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102033958A (en) * | 2010-12-28 | 2011-04-27 | Tcl数码科技（深圳）有限责任公司 | Photo sort management system and method |
| CN103207870A (en) * | 2012-01-17 | 2013-07-17 | 华为技术有限公司 | Method, server, device and system for photo sort management |
Also Published As
| Publication number | Publication date |
|---|---|
| WO2016173278A1 (en) | 2016-11-03 |
| CN106156247A (en) | 2016-11-23 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN102930522B (en) | A kind of apparatus and method realizing picture splicing | |
| JP5934653B2 (en) | Image classification device, image classification method, program, recording medium, integrated circuit, model creation device | |
| CN102930523B (en) | Picture processing system and picture splicing implementation method | |
| WO2017129018A1 (en) | Picture processing method and apparatus, and smart terminal | |
| WO2016101757A1 (en) | Image processing method and device based on mobile device | |
| KR101832680B1 (en) | Searching for events by attendants | |
| BR102014005996A2 (en) | segmentation of an image based on color and color differences | |
| CN103226575A (en) | Image processing method and device | |
| CN109087376A (en) | Image processing method, device, storage medium and electronic equipment | |
| CN105005599A (en) | Photograph sharing method and mobile terminal | |
| CN102084641A (en) | Method to control image processing apparatus, image processing apparatus, and image file | |
| CN106156247B (en) | Image management method and device | |
| CN107748780A (en) | A kind of restoration methods and device of recycle bin file | |
| CN103631844A (en) | File search apparatus, file search method, image search apparatus, and non-transitory computer readable storage medium | |
| US8885952B1 (en) | Method and system for presenting similar photos based on homographies | |
| CN111739649B (en) | User portrait capturing method, device and system | |
| CN109445569A (en) | Information processing method, device, equipment and readable storage medium storing program for executing based on AR | |
| CN104766154B (en) | The system and method that snapshot image based on BIM is applied to intelligent engineering management | |
| US8996616B2 (en) | Cross-linking from composite images to the full-size version | |
| CN108447035A (en) | Image optimization method, electronic device and computer readable storage medium | |
| CN109427063A (en) | The storage method and device of image data | |
| CN109697264A (en) | The method for arranging of page elements, calculates equipment and storage medium at device | |
| CN104050167A (en) | Information processing method and electronic equipment | |
| WO2015131731A1 (en) | Notes managing method and device | |
| CN112492206B (en) | Image processing method and device and electronic equipment |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| C06 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |