WO2018103367A1 - 一种图像信息的共享方法、装置及服务器 - Google Patents
一种图像信息的共享方法、装置及服务器 Download PDFInfo
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- WO2018103367A1 WO2018103367A1 PCT/CN2017/097359 CN2017097359W WO2018103367A1 WO 2018103367 A1 WO2018103367 A1 WO 2018103367A1 CN 2017097359 W CN2017097359 W CN 2017097359W WO 2018103367 A1 WO2018103367 A1 WO 2018103367A1
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- 238000000034 method Methods 0.000 title claims abstract description 46
- 238000013507 mapping Methods 0.000 claims description 17
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- 238000011161 development Methods 0.000 abstract description 5
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- 230000008859 change Effects 0.000 description 3
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- 238000012545 processing Methods 0.000 description 3
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- 230000009286 beneficial effect Effects 0.000 description 1
- 230000015572 biosynthetic process Effects 0.000 description 1
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- 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
- G06F16/5866—Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually using information manually generated, e.g. tags, keywords, comments, manually generated location and time information
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
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- 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
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/50—Network services
- H04L67/51—Discovery or management thereof, e.g. service location protocol [SLP] or web services
Definitions
- the present disclosure relates to the field of image data processing, and in particular, to a method, an apparatus, and a server for sharing image information.
- Image retrieval refers to the technique of querying a digital photo library. The goal is to make the retrieved image satisfy the user's intention.
- image-based positioning is an important application of image retrieval.
- the existing image positioning processing is limited to the change of the image coordinate ratio.
- the geographical location and orientation of the image are retrieved.
- the main purpose is to navigate. According to the picture, the user's correct position coordinates are given, or the picture is attributed to a certain area according to the position coordinates, and the pictures on different time axes of the same geographical position cannot be presented to the user.
- the embodiments of the present disclosure provide a method, an apparatus, and a server for sharing image information, so as to at least solve the problem that the pictures on different time axes of the unified geographic location cannot be presented to the user in the prior art.
- a method for sharing image information including:
- the first image is sorted according to the shooting time and sent to the terminal device.
- a device for sharing image information including:
- the first obtaining module is configured to acquire the geographic location coordinate information sent by the terminal device Search request
- a retrieval module configured to retrieve a first image corresponding to the geographic location coordinate information in the cloud retrieval database according to the retrieval request
- the sharing module is configured to sort the first image according to the shooting time and send the same to the terminal device.
- a sharing apparatus in which a server includes image information as described above.
- a storage medium comprising a stored program, wherein the program is executed to perform the method of any of the above.
- An advantageous effect of an embodiment of the present disclosure is that an embodiment of the present disclosure retrieves a historical picture of a different time period corresponding to a geographical location based on geographic location coordinates of the picture, and shares the historical picture with the terminal device, so that the user can visually see the specific The development of the geographical location and historical changes to improve the user experience.
- FIG. 1 is a flow chart showing a first embodiment of a method of sharing image information of the present disclosure
- FIG. 2 is a flowchart showing an example 1 of a second embodiment of the method of sharing image information of the present disclosure
- Figure 3 is a flow chart showing the geometric feature two-dimensional code encoding of the present disclosure
- Figure 5 shows a schematic diagram of a database of the present disclosure
- FIG. 6 is a flow chart showing an example 2 of the second embodiment of the method for sharing image information of the present disclosure
- Figure 7 is a flow chart showing the process of establishing a database in the present disclosure.
- FIG. 8 is a schematic diagram of extracting and saving each image element in the process of establishing a database according to the present disclosure
- Fig. 9 is a block diagram showing the sharing means of the image information of the present disclosure.
- an embodiment of the present disclosure provides a method for sharing image information, including the following steps:
- Step 101 Acquire a retrieval request that is sent by the terminal device and carries geographical location coordinate information.
- the user When the user needs to request to view the image at a certain geographic location, the user needs to send a search request to the server, where the search request may be request information carrying geographic location coordinate information or an image carrying geographic location coordinate information. information.
- the information carrying the geographical location coordinates mentioned herein may be carried in the retrieval request, or may be obtained by the server analyzing the retrieval request.
- Step 102 retrieve the first image corresponding to the geographic location coordinate information in the cloud retrieval database according to the retrieval request.
- the cloud retrieval database referred to herein refers to a retrieval database of a cloud server in which historical images at various time points of respective geographic location coordinate information (corresponding to actual geographical locations) are stored, and in addition, for easy retrieval and improvement
- the search speed may also store a mapping relationship between each image and a corresponding image parameter and a search library of each image parameter.
- the first image corresponding to the geographic location coordinate information is retrieved in the cloud retrieval database according to the retrieval request sent by the user, and the first image may include multiple images at different time points.
- the retrieval request sent by the user only carries the geographical location coordinate information
- all the images in the corresponding geographical location in the default time period are retrieved in the database, and the default time period may be set to one week, one month from the request time, Historical period of three months, six months or one year.
- the search request sent by the user carries the query time period in addition to the geographical location coordinate information, all the images in the corresponding geographical position in the corresponding time period are retrieved.
- Step 103 Sort the first image according to the shooting time and send it to the terminal device.
- All the retrieved images are sorted according to the shooting time and sent to the terminal device, so that the user can view the historical images of the corresponding geographical locations at different times, and feel the development and change of the history.
- the shooting time is not the time to upload the database or store to the database, nor the remake time, but the shooting time of the original picture, which can ensure the synchronization of the picture content and the era, and ensure the accuracy of the retrieval result.
- the method for sharing image information includes: acquiring a retrieval request that is sent by the terminal device and carrying the geographic location coordinate information; and, according to the retrieval request, retrieving the first image corresponding to the geographic location coordinate information in the cloud retrieval database; The shooting time sorts the first image and sends it to the terminal device.
- the search request may be field information carrying geographic location coordinate information, or may be image information carrying geographic location coordinate information.
- the image information of the present disclosure will be respectively used in the two cases.
- the sharing method is described in detail.
- Example 1 When the retrieval request is image information carrying geographic location coordinate information, as shown in FIG. 2, the method for sharing image information of the present disclosure includes:
- Step 201 Acquire a second image sent by the terminal device.
- the second image here is an image obtained or downloaded by the terminal device, and is mainly used for retrieving a historical image related thereto in a database.
- Step 202 Parse the second image to obtain corresponding element information.
- the element information includes at least: geographic location coordinate information. That is, the second image is parsed to obtain geographic location coordinate information of the second image.
- the second image has not only geographic location coordinate information representing the geographic location, but also time information indicating the time coordinate of the original image.
- the element information further includes geometric feature perspective information of the second image; wherein the step of parsing the second image to obtain corresponding element information comprises: obtaining, according to the perspective size information, the feature size information, and the feature color information of the second image, The aspect ratio of the target object in the second image, the geometric feature code, and the main base toning range; establishing a second according to the aspect ratio of the target object in the second image, the geometric feature code, and the main base toning range
- the geometric feature of the image is a two-dimensional code; the geometric feature two-dimensional code is determined as the geometric feature perspective information of the second image.
- the feature color information refers to a color feature in which the color ratio or contrast in the second image exceeds a preset threshold.
- the two-dimensional coding of the geometric features of the image may be that the image feature key points are encoded by a predetermined extraction method to satisfy their uniqueness to facilitate retrieval and comparison.
- the coding method of the geometric feature two-dimensional code can be classified and encoded according to the following predetermined algorithm to form a database: Yamagata coding, serpentine coding, triangle coding, circular coding, rectangular coding, square coding, polygon coding, text coding, and features.
- Step 31 Detect whether the second image can acquire the perspective size information. If the perspective size information can be obtained, go to step 32, otherwise go directly to step 33.
- Step 32 Calculate the aspect ratio of the target object in the second image.
- Step 33 Detect whether the second image can reverse the two-dimensional size information. If yes, go to step 34, otherwise go directly to step 35.
- Step 34 Perform 3D modeling on the target object in the second image.
- Step 35 Detect whether the feature size information can be acquired by the second image. If yes, go to step 36, otherwise go directly to step 37.
- Step 36 Acquire a geometric feature code of the second image.
- Step 37 Detect whether the second image can extract feature color information from the background color. If yes, go to step 38, otherwise go directly to step 39.
- Step 38 Acquire a primary base toning range of the second image.
- Step 39 Establish a geometric feature two-dimensional code of the second image according to the aspect ratio of the target object in the second image, the geometric feature code, and the main base toning range.
- Step 203 Determine a retrieval request of the terminal device according to the element information.
- Step 204 retrieve the first image at the corresponding geographic location in the cloud retrieval database according to the retrieval request.
- Step 205 Sort the first image according to the shooting time and send it to the terminal device.
- the database of the server further has a self-learning process that is continuously enriched and improved.
- the validity of the second image may also be determined, and the valid second image is updated into the database.
- the step of parsing the second image to obtain the plurality of element information of the second image further comprising: determining validity of the second image according to the element information; if the second image is valid, updating the second image to the database in.
- the step of parsing the validity of the second image may be as follows: detecting whether the geometric size information of the corresponding object can be acquired in the second image; if the geometric size information of the corresponding object can be acquired in the second image, detecting Whether the geographic location coordinate information of the second image is empty; otherwise, determining that the second image is invalid; if it is detected that the geographic location coordinate information of the second image is empty, determining that the second image is invalid; otherwise, whether the retrieval is present in the cloud retrieval database An image matching the second image; if it is retrieved that there is an image matching the second image in the cloud search database, determining that the second image is invalid; otherwise, determining that the second image is valid.
- the data extracted in the second image is judged, whether the two-dimensional feature of the image can be recognized, including the length and width information, whether the 3D model can be established, whether there is a coordinate Information, comparison database, when there is no such picture, judge it is valid.
- the judgment of the graffiti information compliance is also needed to ensure the health of the image information, wherein the health of the information can be ensured by adding a special algorithm. The following embodiment will describe how to judge the validity of the second image in conjunction with FIG.
- Step 41 Detect whether the second image can acquire geometric size information. If it can be obtained, step 42 is performed, otherwise it is determined that the second image is invalid.
- Step 42 Obtain geometric size information. Step 43 is then performed.
- Step 43 Detect whether the second image can acquire coordinate information. If it can be obtained, step 44 is performed, otherwise it is determined that the second image is invalid.
- Step 44 Acquire coordinate information. Then step 45 is performed.
- Step 45 Compare the database, and whether the acquired geometric size information and coordinate information are established. If yes, step 46 is performed, otherwise it is determined that the second image is invalid.
- Step 46 Determine whether the graffiti information is compliant, and if the rule determines that the second image is valid, otherwise judge that the second image is invalid.
- the determination may be performed according to the background color in the second image.
- the validity of the second image may be determined according to the legality of the background color and the time stamp of the second image. For example, in autumn, the leaves are yellow, and in summer the leaves are green.
- the element information further includes: geometric feature perspective information, time information, and main base color number information.
- the step of updating the second image into the database comprises: establishing a second image between the geographic location coordinate information, the geometric feature perspective information, the time information, and the main base color grading information The mapping relationship; save the second image and the mapping relationship to the database.
- the cloud storage database stores corresponding data, that is, the database includes corresponding: coordinate information library, geometric and pattern color number library, time information library, text or pattern information library, and image library. Subsequent retrieval can be retrieved according to a certain retrieval algorithm to ensure retrieval efficiency and retrieval relevance.
- the matching matching process is a traversal process, wherein the matching can be performed according to the position coordinates and the two-dimensional code, thereby matching the orientation, time and color, and filtering according to the preset matching degree, and providing the final confirmation to the user. Select to implement the filtering process from image to image.
- Example 2 When the retrieval request is field information carrying geographic location coordinate information, as shown in FIG. 6, the method for sharing image information of the present disclosure includes:
- Step 601 Acquire a retrieval request input by the user according to his own needs.
- a retrieval requirement instruction is triggered to trigger the terminal device to pop up a retrieval list
- the retrieval list includes a plurality of retrieval elements, such as: location, time, type, and the like.
- Step 602 retrieve the first image at the corresponding geographic location in the database according to the retrieval request.
- Step 603 Sort the first image according to the shooting time and send it to the terminal device.
- the search is performed according to the analytical image or the search is performed by parsing the field information
- the first image at a different time point in a certain geographical location can be retrieved for sharing, so that the user can feel the development and history of the geographical location. Change and improve the user experience.
- the method before the step of retrieving the first image at the corresponding geographic location in the database according to the retrieval request, the method further includes:
- Step 701 Acquire an image to be saved.
- the image to be saved mentioned here may be captured and uploaded by the terminal device, or may be imported by the server side system.
- the image to be saved has original image data and user graffiti data, and can be determined according to the user's integral.
- Step 702 Extract geographic location coordinate information, geometric feature perspective information, time information, and primary base color gradation information in the image to be saved.
- the image to be saved not only has geographical location information, but also retains graffiti information and time information during the uploading process of the user.
- the image is decomposed, and geometric feature perspective information, time information, and geography are separated from the image.
- Position coordinate information and main base color number Extract the geographical location information, according to the principle of image validity, when it is determined that the image data is valid, press each number Save according to the principle of relational data of the library.
- the geographical location coordinate information is stored in the coordinate information library
- the time information is stored in the time information database
- the geometric feature perspective information is stored in the geometric and pattern color number information library
- the graffiti information is graffiti
- the information is stored in a text or pattern library, and the images are stored in the photo library.
- Step 703 Establish a mapping relationship between the image to be saved and the corresponding geographical location coordinate information, geometric feature perspective information, time information, and main base color number information.
- the one-to-one correspondence between the image and the geographical location, time information, and graffiti information not only ensures the storage of the information, but also ensures the relevance of the information, and at the same time ensures the retrievability and sortability of the information.
- Step 704 Save the image to be saved and the corresponding mapping relationship to the cloud search database.
- the information extracted from the comparison pictures is directly matched to obtain pictures, and the pictures matching the above information are selected, and the matching degree can be matched according to the success rate to ensure the matching degree. retrieve the image.
- the image information sharing device in the embodiment of the present disclosure includes:
- the first obtaining module 91 is configured to acquire a retrieval request that is sent by the terminal device and carries geographical location coordinate information
- the retrieval module 92 is configured to retrieve a first image corresponding to the geographic location coordinate information in the cloud retrieval database according to the retrieval request;
- the sharing module 93 is configured to sort the first image according to the shooting time and send it to the terminal device.
- the first obtaining module 91 includes:
- a first acquiring unit configured to acquire a second image sent by the terminal device
- the parsing unit is configured to parse the second image to obtain corresponding element information; wherein the element information includes at least: geographic location coordinate information;
- the determining unit is configured to determine a retrieval request of the terminal device based on the element information.
- the first obtaining module 91 further includes:
- a determining unit configured to determine validity of the second image according to the element information
- the update unit is set to update the second image to the database if the second image is valid.
- the determining unit comprises:
- a first detecting subunit configured to detect whether geometric size information of the corresponding object can be acquired in the second image
- a second detecting subunit configured to detect whether the geographic location coordinate information of the second image is empty when the corresponding object geometric size information can be acquired in the second image; otherwise determining that the second image is invalid;
- Retrieving the subunit configured to determine that the second image is invalid when the geographic location coordinate information of the second image is empty; otherwise, whether there is an image matching the second image is retrieved in the cloud retrieval database;
- the determining subunit is configured to determine that the second image is invalid when the image matching the second image exists in the cloud retrieval database is retrieved; otherwise, the second image is determined to be valid.
- the element information further includes: geometric feature perspective information, time information, and main base color grading number information; wherein the updating unit includes:
- a first establishing subunit configured to establish a mapping relationship between the second image and the geographic location coordinate information, the geometric feature perspective information, the time information, and the primary base color gradation information;
- a storage subunit configured to save the second image and the mapping relationship to the database.
- the element information further includes geometric feature perspective information of the second image; wherein the parsing unit comprises:
- Obtaining a subunit configured to obtain a length to width ratio, a geometric feature code, and a main base toning range of the target object in the second image according to the perspective size information, the feature size information, and the feature color information of the second image;
- a second establishing subunit configured to establish a geometric feature two-dimensional code of the second image according to the aspect ratio of the target object in the second image, the geometric feature code, and the main base toning range;
- the determining subunit is configured to determine the geometric feature two-dimensional code as the geometric feature perspective information of the second image.
- the sharing device of the image information further includes:
- a second acquiring module configured to acquire an image to be saved
- An extraction module configured to extract geographic location coordinate information, geometric feature perspective information, time information, and primary base color gradation information in the image to be saved;
- Establishing a module configured to establish a mapping relationship between the image to be saved and corresponding geographic location coordinate information, geometric feature perspective information, time information, and primary base color gradation information;
- the storage module is configured to save the image to be saved and the mapping relationship to the cloud retrieval database.
- the device is a device corresponding to the method for sharing the image information, and all the implementations in the foregoing method embodiments are applicable to the embodiment of the device, and the same technical effects can be achieved.
- a server including the sharing device as described above, optionally, the server includes the following functional modules: configured to extract image information of a mobile phone photograph and a graffiti synthesis, and separate the image information
- An acquisition module for geographic coordinates and time coordinates; set up to establish a geographic coordinate, time, color, and image database establishment module; and a comparative analysis module for geographic location, orientation, time, and color.
- the acquiring module includes an image geometric information extracting module, a coordinate information extracting module, a time information extracting module, and a graffiti information extracting module.
- the establishing module comprises: an image two-dimensional code extraction coding scheme module, a picture validity determination module, and an image cloud storage database ranking module.
- the retrieval method based on the location coordinates and time of the image can be applied to the smart phone side, and the image is uploaded and uploaded by the user to continuously increase and perfect the image database, and finally the function of retrieving the historical image of the same geographical location from the geographic location of the image is achieved. . Realize the function of perceiving historical changes and analyzing historical scenes.
- Embodiments of the present invention also provide a storage medium including a stored program, wherein the program described above executes the method of any of the above.
- the foregoing storage medium may include, but is not limited to, a USB flash drive, a Read-Only Memory (ROM), and a random access memory (Random).
- Access Memory referred to as RAM
- mobile hard disk disk or optical disk, and other media that can store program code.
- Embodiments of the present invention also provide a processor for running a program, wherein the program is executed to perform the steps of any of the above methods.
- a method, apparatus, and server for sharing image information disclosed in the embodiments of the present disclosure have the following beneficial effects: enabling a user to visually see development and historical changes at a specific geographic location, and improving user experience.
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Abstract
一种图像信息的共享方法、装置及服务器,其方法包括:获取终端设备发送的携带有地理位置坐标信息的检索请求(101);根据该检索请求,在云端检索数据库中检索对应地理位置坐标信息的第一图像(102);按照拍摄时间对第一图像进行排序并发送至终端设备(103)。本方法基于图片的地理位置坐标检索对应地理位置处不同时期的历史图片,并将该历史图片共享给终端设备,以使用户能够直观看到特定地理位置处的发展和历史变迁,提高用户体验。
Description
本公开涉及图像数据处理领域,尤其涉及一种图像信息的共享方法、装置及服务器。
图片作为多媒体信息的重要呈现形式之一,它通过颜色、纹理、形状等丰富的视觉特征,直观、生动地使抽象数据形象化、真实化地呈现给大众。图片检索是指对数字图片库进行查询的技术,其目标是使检索到的图片能满足用户的意图。目前基于图片进行定位是图片检索的一项重要应用,现有的图片定位处理,多局限在根据图片坐标比例变化,检索出图片是在什么地理位置、什么方位,主要目的是为了导航,只能够根据图片给出用户正确的位置坐标,或是根据位置坐标将图片归在某个区域范围内,而不能将同一地理位置不同时间轴上的图片呈现给用户。
公开内容
为了解决上述技术问题,本公开实施例提供了一种图像信息的共享方法、装置及服务器,以至少解决现有技术中不能将统一地理位置处不同时间轴上的图片呈现给用户的问题。
依据本公开的一个实施例,提供了一种图像信息的共享方法,包括:
获取终端设备发送的携带有地理位置坐标信息的检索请求;
根据该检索请求,在云端检索数据库中检索对应地理位置坐标信息的第一图像;
按照拍摄时间对第一图像进行排序并发送至终端设备。
依据本公开的再一个实施例,还提供了一种图像信息的共享装置,包括:
第一获取模块,设置为获取终端设备发送的携带有地理位置坐标信息
的检索请求;
检索模块,设置为根据检索请求,在云端检索数据库中检索对应地理位置坐标信息的第一图像;
共享模块,设置为按照拍摄时间对所述第一图像进行排序并发送至终端设备。
依据本公开的再一个实施例,还提供了一种服务器包括如上所述的图像信息的共享装置。
根据本发明的又一个实施例,还提供了一种存储介质,所述存储介质包括存储的程序,其中,所述程序运行时执行上述任一项所述的方法。
本公开的实施例的有益效果是:本公开的实施例基于图片的地理位置坐标检索对应地理位置处不同时期的历史图片,并将该历史图片共享给终端设备,以使用户能够直观看到特定地理位置处的发展和历史变迁,提高用户体验。
图1表示本公开的图像信息的共享方法的第一实施例的流程图;
图2表示本公开的图像信息的共享方法的第二实施例的示例一的流程图;
图3表示本公开的几何特征二维码编码的流程图;
图4表示本公开的判断第二图像有效性的流程示意图;
图5表示本公开的数据库的示意图;
图6表示本公开图像信息的共享方法的第二实施例的示例二的流程图;
图7表示本公开建立数据库的流程示意图;
图8表示本公开建立数据库过程中提取并保存各图像要素的示意图;
图9表示本公开图像信息的共享装置的模块示意图。
下面将参照附图更详细地描述本公开的示例性实施例。虽然附图中显
示了本公开的示例性实施例,然而应当理解,可以以各种形式实现本公开而不应被这里阐述的实施例所限制。相反,提供这些实施例是为了能够更透彻地理解本公开,并且能够将本公开的范围完整的传达给本领域的技术人员。
实施例一
如图1所示,本公开的实施例提供了一种图像信息的共享方法,包括以下步骤:
步骤101:获取终端设备发送的携带有地理位置坐标信息的检索请求。
其中,当用户需要向服务器请求查看某个地理位置处的图片时,需要向服务器发送一检索请求,该检索请求可以是携带有地理位置坐标信息的请求信息或是携带有地理位置坐标信息的图像信息。其中,这里所说的携带有地理位置坐标信息可以是检索请求中直观携带的,亦可以是服务器解析检索请求获知的。
步骤102:根据该检索请求,在云端检索数据库中检索对应地理位置坐标信息的第一图像。
这里所说的云端检索数据库指的是云端服务器的检索数据库,在该数据库中存储有各个地理位置坐标信息(对应实际的地理位置)的各个时间点上的历史图像,此外,为便于检索和提高检索速度,该云端检索数据库中还可存储有各个图像与对应的图像参数之间的映射关系以及各个图像参数的检索库。根据用户发送的检索请求,在云端检索数据库中检索对应地理位置坐标信息的第一图像,该第一图像可包括多张不同时间点上的图像。可选地,当用户发送的检索请求仅携带有地理位置坐标信息时,则在数据库中检索默认时间段内对应地理位置处的所有图像,默认时间段可设置为距离请求时刻一周、一个月、三个月、半年或1年等历史时间段。当用户发送的检索请求除携带有地理位置坐标信息外还携带有查询时间段时,检索对应时间段内对应地理位置处的所有图像。
步骤103:按照拍摄时间对第一图像进行排序并发送至终端设备。
将检索得到的所有图像按照拍摄时间进行排序并发送至终端设备,以使用户查看对应地理位置处在不同时间上的历史图像,感受历史的发展和变迁。其中,值得指出的该拍摄时间不是上传数据库或存储至数据库的时间,亦不是翻拍时间,而是原始图片的拍摄时间,这样可保证图片内容与时代的同步性,保证检索结果的准确性。
实施例二
本公开实施例提供的图像信息的共享方法包括:获取终端设备发送的携带有地理位置坐标信息的检索请求;根据该检索请求,在云端检索数据库中检索对应地理位置坐标信息的第一图像;按照拍摄时间对第一图像进行排序并发送至终端设备。以上实施例一中指出检索请求可以是携带有地理位置坐标信息的字段信息,亦可以是携带有地理位置坐标信息的图像信息,下面本实施例将分别就这两种情况对本公开的图像信息的共享方法做详细介绍。
示例一:当检索请求为携带有地理位置坐标信息的图像信息时,如图2所示,本公开的图像信息的共享方法包括:
步骤201:获取终端设备发送的第二图像。
这里第二图像为终端设备拍摄得到或下载得到的图像,主要用于在数据库中检索与其相关的历史图像。
步骤202:解析该第二图像得到对应的要素信息。
其中,要素信息至少包括:地理位置坐标信息。即解析第二图像得到第二图像的地理位置坐标信息。
其中,第二图像中不仅有表征地理位置的地理位置坐标信息,还保留有表征原图片的时间坐标的时间信息。可选地,要素信息还包括第二图像的几何特征透视信息;其中,解析第二图像得到对应的要素信息的步骤包括:根据第二图像的透视尺寸信息、特征尺寸信息以及特征色信息,得到第二图像中目标物体的长宽比例、几何特征码以及主基调色范围;根据第二图像中目标物体的长宽比例、几何特征码以及主基调色范围,建立第二
图像的几何特征二维码;将几何特征二维码确定为第二图像的几何特征透视信息。其中,特征色信息指的是第二图像中颜色比例或对比度超过预设阈值的颜色特征。
可选地,对于图像的几何特征二维编码可以是图像特征关键点通过预定的提取方式进行编码,以满足其唯一性,以方便检索和比对。几何特征二维码的编码方式可以依次按以下的预定算法进行分类和编码以组建数据库:山形编码、蛇形编码、三角形编码、圆形编码、长方形编码、正方形编码、多边形编码、文字编码、特征数量编码、布局编码、外形轮廓线编码、视角编码等。
几何特征二维码的编码流程可以参照图3的流程实现,基于图像的处理处理算法,加上结构、透视原理来进行信息的提取,构建出我们需要的几何二维特征码:
步骤31:检测第二图像是否可以获取透视尺寸信息。若能够获取处透视尺寸信息,则执行步骤32,否则直接执行步骤33。
步骤32:计算第二图像中目标物体的长宽比例。
步骤33:检测第二图像是否可以反推二维尺寸信息。若可以,则执行步骤34,否则直接执行步骤35。
步骤34:对第二图像中的目标物体进行3D建模。
步骤35:检测第二图像是否可以获取特征尺寸信息。若可以,则执行步骤36,否则直接执行步骤37。
步骤36:获取第二图像的几何特征码。
步骤37:检测第二图像是否可以从背景色中提取特征色信息。若可以,则执行步骤38,否则直接执行步骤39。
步骤38:获取第二图像的主基调色范围。
步骤39:根据第二图像中目标物体的长宽比例、几何特征码以及主基调色范围,建立第二图像的几何特征二维码。
以上介绍了第二图像的几何特征二维码的生成过程,下面将继续介绍
在解析该第二图像得到第二图像的要素信息之后执行的流程。
步骤203:根据要素信息确定终端设备的检索请求。
步骤204:根据该检索请求,在云端检索数据库中检索对应地理位置处的第一图像。
步骤205:按照拍摄时间对第一图像进行排序并发送至终端设备。
可选地,服务器的数据库还具有不断丰富和完善的自学习过程,在接收到第二图像后,还可判断第二图像的有效性,并将有效的第二图像更新至数据库中。可选地,在解析第二图像得到第二图像的多个要素信息的步骤之后,还包括:根据要素信息判断第二图像的有效性;若第二图像有效,则将第二图像更新至数据库中。
其中,解析第二图像有效性的步骤可参照以下方式:检测是否能够在第二图像中获取到对应物体的几何尺寸信息;若能够在第二图像中获取到对应物体的几何尺寸信息,则检测第二图像的地理位置坐标信息是否为空;否则,确定第二图像无效;若检测到第二图像的地理位置坐标信息为空,确定第二图像无效;否则,在云端检索数据库中检索是否存在与第二图像相匹配的图像;若检索到在云端检索数据库中存在与第二图像相匹配的图像,则确定第二图像无效;否则,确定第二图像有效。
也就是说,在判断第二图像是否有效时,首先对第二图像中提取的数据进行判断,是否能够识别出图像的二维特征,包括长、宽信息,是否可以建立3D模型,是否有坐标信息,对比数据库,当没有此图片的时候,判断其有效。可选地,当第二图像中存在涂鸦信息时,还需要进行涂鸦信息合规性的判断,以保证图像信息的健康,其中,信息的健康有效可以增加特殊的算法予以保证。下面本实施例将结合图4介绍如何判断第二图像的有效性。
步骤41:检测第二图像是否可以获取几何尺寸信息。若可以获取,则执行步骤42,否则判断第二图像无效。
步骤42:获取几何尺寸信息。继而执行步骤43。
步骤43:检测第二图像是否可以获取坐标信息。若可以获取,则执行步骤44,否则判断第二图像无效。
步骤44:获取坐标信息。继而执行步骤45。
步骤45:对比数据库,获取的几何尺寸信息及坐标信息是否成立。若成立则执行步骤46,否则判断第二图像无效。
步骤46:判断涂鸦信息是否合规,若合规则判断第二图像有效,否则判断第二图像无效。
而对于第二图像中时间点的判断,可根据第二图像中的背景色进行判定,可选地,可根据第二图像的背景色与时间戳的合法性,判断第二图像的有效性。例如在秋天树叶是黄色的,在夏天时树叶是绿色的。
可选地,要素信息还包括:几何特征透视信息、时间信息以及主基调色号信息。为了提高后续检索的便利性和快捷性,其中,将第二图像更新至数据库中的步骤包括:建立第二图像与地理位置坐标信息、几何特征透视信息、时间信息和主基调色号信息之间的映射关系;将第二图像以及映射关系保存至数据库中。可选地,如图5所示,云端存储的数据库中存储有相应的数据,即数据库包括对应的:坐标信息库、几何和图案色号库、时间信息库、文字或图案信息库以及图片库,后续检索可根据一定的检索算法进行检索,以保证检索效率和检索关联性。如:采用冒泡排序或二分排序进行检索以提高检索速率。由于第二图像与地理位置坐标信息、几何特征透视信息、时间信息以及主基调色号信息之间是一一对应的,这样检索其中一个信息即可得到唯一对应的第二图像,用户可通过这种一一对应的关系去找出自己想要的对应图片。具体地查找匹配过程是一种遍历过程,其中,可按位置坐标、二维编码来进行匹配,进而匹配方位、时间和颜色,根据预设的匹配度来进行筛选,提供给用户来最终确认和选择,进而实现从图片到图片的筛选过程。
示例二:当检索请求为携带有地理位置坐标信息的字段信息时,如图6所示,本公开的图像信息的共享方法包括:
步骤601:获取用户根据自身需求输入的检索请求。
其中,当用户需要检索某些类型的图像时,触发一检索需求指令,以触发终端设备弹出一检索列表,该检索列表包括多项检索要素,例如:地点、时间、类型等。当用户根据自身需求填好该检索列表后提交,以生成一检索请求。
步骤602:根据该检索请求,在数据库中检索对应地理位置处的第一图像。
步骤603:按照拍摄时间对第一图像进行排序并发送至终端设备。
这样,无论是根据解析图像进行检索还是通过解析字段信息进行检索,均可检索到某一地理位置处不同时间点上的第一图像进行共享,可使用户感受到该地理位置处的发展和历史变迁,提高用户体验。
实施例三
以上实施例介绍了本公开的图像信息的共享方法的不同应用场景下的具体实施方式,下面本实施例将结合附图介绍相应的数据库建立和更新过程。
可选地,如图7所示,在根据所述检索请求,在数据库中检索对应地理位置处的第一图像的步骤之前还包括:
步骤701:获取一待保存图像。
其中,这里所说的待保存图像可以是终端设备拍摄并上传的,亦可以是服务器侧***导入的。该待保存图像有原始图像数据和用户涂鸦数据,可根据用户的积分来决定是否进行合成。
步骤702:提取待保存图像中的地理位置坐标信息、几何特征透视信息、时间信息以及主基调色号信息。
该待保存图像中不光有地理位置信息,还保留用户上传过程中的涂鸦信息、时间信息等,如图8所示,将图片进行分解,从图片中分离出几何特征透视信息、时间信息、地理位置坐标信息和主基调色号。将地理位置信息提取出来,根据图片有效性原则,当判定图片数据有效后,按各个数
据库的关系数据原理进行保存。其中,地理位置坐标信息存储至坐标信息库内,时间信息存储至时间信息库内,主基调色号、几何特征透视信息存储至几何和图案色号信息库内,而对于具有涂鸦信息的将涂鸦信息存储至文字或图案信息库内,而图像存储在图片库内。
步骤703:建立待保存图像与对应的地理位置坐标信息、几何特征透视信息、时间信息以及主基调色号信息之间的映射关系。
使图片与地理位置、时间信息、涂鸦信息等一一对应,既保证了信息了存储,又保证了信息的关联性,同时保证了信息的可检索和可排序性。
步骤704:将待保存图像以及对应的映射关系保存至云端检索数据库中。
当需要对比图片并提取相关图片时,就直接从对比图片中提取的信息,进行匹配从而获取图片,挑选出上述信息相匹配的图片,匹配度可以按成功率给出相应的匹配度,保证能够检索出图片。
实施例四
如图9所示,本公开的实施例中的图像信息的共享装置,包括:
第一获取模块91,设置为获取终端设备发送的携带有地理位置坐标信息的检索请求;
检索模块92,设置为根据检索请求,在云端检索数据库中检索对应地理位置坐标信息的第一图像;
共享模块93,设置为按照拍摄时间对第一图像进行排序并发送至终端设备。
其中,第一获取模块91包括:
第一获取单元,设置为获取终端设备发送的第二图像;
解析单元,设置为解析第二图像得到对应的要素信息;其中,要素信息至少包括:地理位置坐标信息;
确定单元,设置为根据要素信息确定终端设备的检索请求。
其中,第一获取模块91还包括:
判断单元,设置为根据要素信息判断第二图像的有效性;
更新单元,设置为若第二图像有效,则将第二图像更新至数据库中。
其中,判断单元包括:
第一检测子单元,设置为检测是否能够在第二图像中获取到对应物体的几何尺寸信息;
第二检测子单元,设置为当能够在第二图像中获取到对应物体几何尺寸信息时,检测第二图像的地理位置坐标信息是否为空;否则确定第二图像无效;
检索子单元,设置为当第二图像的地理位置坐标信息为空时,确定第二图像无效;否则,在云端检索数据库中检索是否存在与第二图像相匹配的图像;
确定子单元,设置为当检索到云端检索数据库中存在与第二图像相匹配的图像时,确定第二图像无效;否则,确定第二图像有效。
其中,要素信息还包括:几何特征透视信息、时间信息以及主基调色号信息;其中更新单元包括:
第一建立子单元,设置为建立第二图像与地理位置坐标信息、几何特征透视信息、时间信息和主基调色号信息之间的映射关系;
存储子单元,设置为将第二图像以及映射关系保存至数据库中。
其中,要素信息还包括第二图像的几何特征透视信息;其中,解析单元包括:
获取子单元,设置为根据第二图像的透视尺寸信息、特征尺寸信息以及特征色信息,得到第二图像中目标物体的长宽比例、几何特征码以及主基调色范围;
第二建立子单元,设置为根据第二图像中目标物体的长宽比例、几何特征码以及主基调色范围,建立第二图像的几何特征二维码;
确定子单元,设置为将几何特征二维码确定为第二图像的几何特征透视信息。
其中,该图像信息的共享装置还包括:
第二获取模块,设置为获取一待保存图像;
提取模块,设置为提取待保存图像中的地理位置坐标信息、几何特征透视信息、时间信息以及主基调色号信息;
建立模块,设置为建立待保存图像与对应的地理位置坐标信息、几何特征透视信息、时间信息以及主基调色号信息之间的映射关系;
存储模块,设置为将待保存图像以及映射关系保存至云端检索数据库中。
需要说明的是,该装置是与上述图像信息的共享方法对应的装置,上述方法实施例中所有实现方式均适用于该装置的实施例中,也能达到相同的技术效果。
依据本公开实施例的再一个方面还提供了一种服务器,包括如上所述的共享装置,可选地,该服务器包括以下功能模块:设置为提取手机拍照与涂鸦合成的图像信息,并分离出地理坐标、时间坐标的获取模块;设置为建立地理坐标、时间、颜色、图片数据库建立的建立模块;以及地理位置、方位、时间和颜色等对比分析模块。其中,上述获取模块包括图像几何信息提取模块,坐标信息提取模块,时间信息提取模块,以及涂鸦信息提取模块。该建立模块包括:图像二维码提取编码方案模块,图片有效性的判定模块,图像云存储数据库排序模块。
这样,基于图片的地点坐标及时间的检索方式可以应用在智能手机侧,并通过用户拍照定位上传图片不断增加和完善图片数据库,最终达到由图片的地理位置去检索同一地理位置相关历史图片的功能。实现感悟历史变迁、分析历史场景的功能。
本发明的实施例还提供了一种存储介质,该存储介质包括存储的程序,其中,上述程序运行时执行上述任一项所述的方法。
可选地,在本实施例中,上述存储介质可以包括但不限于:U盘、只读存储器(Read-Only Memory,简称为ROM)、随机存取存储器(Random
Access Memory,简称为RAM)、移动硬盘、磁碟或者光盘等各种可以存储程序代码的介质。
本发明的实施例还提供了一种处理器,该处理器用于运行程序,其中,该程序运行时执行上述任一项方法中的步骤。
以上所述的是本公开的优选实施方式,应当指出对于本技术领域的普通人员来说,在不脱离本公开所述的原理前提下还可以作出若干改进和润饰,这些改进和润饰也在本公开的保护范围内。
如上所述,本公开实施例公开的一种图像信息的共享方法、装置及服务器具有以下有益效果:使用户能够直观看到特定地理位置处的发展和历史变迁,提高用户体验。
Claims (16)
- 一种图像信息的共享方法,包括:获取终端设备发送的携带有地理位置坐标信息的检索请求;根据所述检索请求,在云端检索数据库中检索对应地理位置坐标信息的第一图像;按照拍摄时间对所述第一图像进行排序并发送至所述终端设备。
- 根据权利要求1所述的图像信息的共享方法,其中,获取终端设备发送的携带有地理位置坐标信息的检索请求的步骤包括:获取终端设备发送的第二图像;解析所述第二图像得到对应的要素信息;其中,所述要素信息至少包括:地理位置坐标信息;根据所述要素信息确定终端设备的检索请求。
- 根据权利要求2所述的图像信息的共享方法,其中,解析所述第二图像得到对应的多个要素信息的步骤之后,还包括:根据所述要素信息判断所述第二图像的有效性;若所述第二图像有效,则将所述第二图像更新至数据库中。
- 根据权利要求3所述的图像信息的共享方法,其中,根据所述要素信息判断所述第二图像的有效性的步骤包括:检测是否能够在所述第二图像中获取到对应物体的几何尺寸信息;若能够在所述第二图像中获取到对应物体的几何尺寸信息,则检测所述第二图像的地理位置坐标信息是否为空;否则,确定所述第二图像无效;若检测到所述第二图像的地理位置坐标信息为空时,确定所述第二图像无效,否则,在云端检索数据库中检索是否存在与所述第二图像相匹配的图像;若检索到所述云端检索数据库中存在与所述第二图像相匹配的图像时,确定所述第二图像无效,否则,确定所述第二图像有效。
- 根据权利要求3所述的图像信息的共享方法,其中,所述要素信息还包括:几何特征透视信息、时间信息以及主基调色号信息;其中,将 所述第二图像更新至数据库中的步骤包括:建立所述第二图像与地理位置坐标信息、几何特征透视信息、时间信息和主基调色号信息之间的映射关系;将所述第二图像以及所述映射关系保存至数据库中。
- 根据权利要求3所述的图像信息的共享方法,其中,所述要素信息还包括第二图像的几何特征透视信息;其中,解析所述第二图像得到对应的要素信息的步骤包括:根据所述第二图像的透视尺寸信息、特征尺寸信息以及特征色信息,得到所述第二图像中目标物体的长宽比例、几何特征码以及主基调色范围;根据所述第二图像中目标物体的长宽比例、几何特征码以及主基调色范围,建立所述第二图像的几何特征二维码;将所述几何特征二维码确定为所述第二图像的几何特征透视信息。
- 根据权利要求1~6任一项所述的图像信息的共享方法,其中,根据所述检索请求,在云端检索数据库中检索对应地理位置坐标信息的第一图像的步骤之前还包括:获取一待保存图像;提取所述待保存图像中的地理位置坐标信息、几何特征透视信息、时间信息以及主基调色号信息;建立所述待保存图像与对应的地理位置坐标信息、几何特征透视信息、时间信息以及主基调色号信息之间的映射关系;将所述待保存图像以及所述映射关系保存至云端检索数据库中。
- 一种图像信息的共享装置,包括:第一获取模块,设置为获取终端设备发送的携带有地理位置坐标信息的检索请求;检索模块,设置为根据所述检索请求,在云端检索数据库中检索对应地理位置坐标信息的第一图像;共享模块,设置为按照拍摄时间对所述第一图像进行排序并发送至所 述终端设备。
- 根据权利要求8所述的图像信息的共享装置,其中,所述第一获取模块包括:第一获取单元,设置为获取终端设备发送的第二图像;解析单元,设置为解析所述第二图像得到对应的要素信息;其中,所述要素信息至少包括:地理位置坐标信息;确定单元,设置为根据所述要素信息确定终端设备的检索请求。
- 根据权利要求9所述的图像信息的共享装置,其中,所述第一获取模块还包括:判断单元,设置为根据所述要素信息判断所述第二图像的有效性;更新单元,设置为若所述第二图像有效,则将所述第二图像更新至数据库中。
- 根据权利要求10所述的图像信息的共享装置,其中,所述判断单元包括:第一检测子单元,设置为检测是否能够在所述第二图像中获取到对应物体的几何尺寸信息;第二检测子单元,设置为当能够在所述第二图像中获取到对应物体的几何尺寸信息时,检测所述第二图像的地理位置坐标信息是否为空;否则,确定所述第二图像无效;检索子单元,设置为当检测到所述第二图像的地理位置坐标信息为空时,确定所述第二图像无效;否则,在云端检索数据库中检索是否存在与所述第二图像相匹配的图像;确定子单元,设置为当检索到所述云端检索数据库中存在与所述第二图像相匹配的图像时,确定所述第二图像无效;否则,确定所述第二图像有效。
- 根据权利要求10所述的图像信息的共享装置,其中,所述要素信息还包括:几何特征透视信息、时间信息以及主基调色号信息;其中所 述更新单元包括:第一建立子单元,设置为建立所述第二图像与地理位置坐标信息、几何特征透视信息、时间信息和基调色号信息之间的映射关系;存储子单元,设置为将所述第二图像以及所述映射关系保存至数据库中。
- 根据权利要求10所述的图像信息的共享装置,其中,所述要素信息还包括第二图像的几何特征透视信息;其中,所述解析单元包括:获取子单元,设置为根据所述第二图像的透视尺寸信息、特征尺寸信息以及特征色信息,得到所述第二图像中目标物体的长宽比例、几何特征码以及主基调色范围;第二建立子单元,设置为根据所述第二图像中目标物体的长宽比例、几何特征码以及主基调色范围,建立所述第二图像的几何特征二维码;确定子单元,设置为将所述几何特征二维码确定为所述第二图像的几何特征透视信息。
- 根据权利要求8~13任一项所述的图像信息的共享装置,其中,还包括:第二获取模块,设置为获取一待保存图像;提取模块,设置为提取所述待保存图像中的地理位置坐标信息、几何特征透视信息、时间信息以及主基调色号信息;建立模块,设置为建立所述待保存图像与对应的地理位置坐标信息、几何特征透视信息、时间信息以及主基调色号信息之间的映射关系;存储模块,设置为将所述待保存图像以及所述映射关系保存至云端检索数据库中。
- 一种服务器,包括如权利要求8~14任一项所述的图像信息的共享装置。
- 一种存储介质,所述存储介质包括存储的程序,其中,所述程序运行时执行权利要求1至7中任一项所述的方法。
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