WO2016145844A1 - 一种图片排序方法和相应的图片存储显示设备 - Google Patents
一种图片排序方法和相应的图片存储显示设备 Download PDFInfo
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- 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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- 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
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- 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
Definitions
- This application relates to, but is not limited to, picture management techniques.
- a method and a device for sorting pictures are provided.
- the current scene information of the smart device is obtained, and it is detected whether the scene information satisfies a preset sorting condition.
- the scene information sorts the pictures in the smart device. For example, when Xiao Wang is near a roast duck restaurant, open the image management application to display the picture of the roast duck restaurant matching the current location in the front row. After Xiao Wang takes the picture on snowy days, the current weather can be obtained from the third-party application. Snowing, which prioritizes the images taken in the snowy days of the management app.
- This sorting method relies on the environment in which the smart device is located, and only sorts certain types of photos. For example, only the roast duck restaurant photos are prioritized near the roast duck restaurant, and only photos taken on snow days are snowed. Prioritize.
- a picture sorting method is applied to a picture storage display device, and the method includes:
- the stored pictures are sorted based on the scene information of the picture and the scene detail information.
- Determining a scene of the picture comprising: determining a scene of the picture as one of setting scenes, where the setting scene includes at least two of the following:
- the saving the corresponding scene information includes:
- the corresponding scene information is written into the extended scene field in the image storage structure, and the scene information refers to the identification information of the scene.
- the method further includes:
- the scene detail information of the picture is written to the extended scene detail field in the picture storage structure.
- Determining the scene detail information of the picture based on the scene information of the picture including:
- the scene information of the picture identifies the scene of the picture as a person
- the detected face feature information of the picture or the identification information thereof is used as the scene detail information of the picture.
- the detected face feature information of the picture is obtained by:
- the matched existing facial feature information is used as the detected facial feature information of the image
- the acquired facial feature information of the picture is added to the facial feature database and used as the detected facial feature information of the picture.
- Determining scene detail information of the picture based on the scene of the picture including:
- the location information of the picture location or the scene category information of the picture is used as the scene detail information of the picture.
- the location information of the location where the picture was taken is obtained by one of the following methods:
- the location information of the picture location is determined according to the location of the captured picture.
- Determining scene detail information of the picture based on the scene of the picture including one or more of the following determining manners:
- the scene information of the picture identifies that the scene of the picture is a text
- the text content category identified according to the character is determined as the scene detail information of the picture
- the scene information of the picture identifies that the scene of the picture is a gourmet
- the food type identified according to the picture content is determined as the scene detail information of the picture
- the scene detail information of the picture is set to the same default value.
- the image-based scene information and the scene detail information are used to sort the stored images, including:
- the user After receiving the instructions sorted by the scene information, the user displays optional scene information and optional scene details in each scene.
- the user After receiving the scene information and/or scene detail information selected by the user, the user is presented with a picture with the selected information.
- a picture storage display device includes a display device for displaying a picture and a storage device for storing a picture, and further includes a picture sorting device, wherein:
- the picture sorting device includes:
- the scene determining module is configured to: determine the scene of the picture and save the corresponding scene information by recognizing the content of the picture;
- a scene detail determining module configured to: determine scene detail information of the picture based on scene information of the picture;
- the sorting processing module is configured to: sort the stored pictures based on the scene information of the picture and the scene detail information.
- the scene determining module is configured to: determine a scene of the picture as one of setting scenes, where the setting scene includes at least two of the following:
- the scene determining module is configured to: write corresponding scene information into an extended scene field in the image storage structure, where the scene information refers to identification information of the scene.
- the scene detail determining module is further configured to: write scene detail information of the picture into an extended scene detail field in the picture storage structure.
- the scene information of the picture identifies the scene of the picture as a person
- the detected face feature information of the picture or the identification information thereof is used as the scene detail information of the picture.
- the scene detail determining module is configured to: obtain the detected face feature information of the picture by:
- the matched existing facial feature information is used as the detected facial feature information of the image
- the acquired facial feature information of the picture is added to the facial feature database and used as the detected facial feature information of the picture.
- the location information of the picture location or the scene category information of the picture is used as the scene detail information of the picture.
- the scene detail determining module is configured to: determine location information of the location where the picture is taken by one of:
- the location information of the picture location is determined according to the location of the captured picture.
- the scene detail determining module is configured to: determine scene detail information of the picture based on the scene of the picture, including one or more of the following determining manners:
- the scene information of the picture identifies that the scene of the picture is a text
- the text content category identified according to the character is determined as the scene detail information of the picture
- the scene information of the picture identifies that the scene of the picture is a gourmet
- the food type identified according to the picture content is determined as the scene detail information of the picture
- the scene detail information of the picture is set to the same default value.
- the sort processing module is set to:
- the user When the stored picture is displayed, the user is presented with a scene that can be selected;
- a computer readable storage medium storing computer executable instructions for performing the method of any of the above.
- the above image sorting method and the corresponding device sort the pictures based on the scene, and further arrange the pictures according to the detailed information of each scene, such as arranging pictures based on different characters in the character picture,
- the landscape pictures are arranged based on the shooting location, so that the user can quickly and continuously browse through the pictures to be viewed in a large number of pictures, such as all the photos of a certain person, and is not limited by the environment of the terminal, and has strong practicability.
- FIG. 1 is a flowchart of a method for sorting pictures according to an embodiment of the present invention
- FIG. 2 is a schematic diagram of a picture storage structure according to an embodiment of the present invention.
- FIG. 3 is a schematic diagram of a picture sorting menu according to an embodiment of the present invention.
- FIG. 4 is a schematic diagram showing details of an optional scene and an optional scene according to an embodiment of the present invention.
- FIG. 5 is a block diagram of a picture storage display device according to an embodiment of the present invention.
- FIG. 6 is a flow chart of an example image sorting method of the present invention.
- FIG. 7 is a flow chart showing the arrangement of a character picture based on different characters according to the second example of the present invention.
- Figure 8 is a flow chart of step S502 of Figure 7;
- Figure 9 is a flow chart showing the sequencing of the three pairs of landscape pictures of the present invention.
- the embodiment provides a picture sorting method, which is applied to a picture storage display device. As shown in FIG. 1 , the method includes:
- Step 110 Determine, by identifying the content of the picture, a scene of the picture and save corresponding scene information.
- the determining, by the embodiment, the scene of the picture includes: determining a scene of the picture as one of setting scenes, where the setting scene includes at least two of the following: a character; a landscape; a text; a food and the like.
- the setting scene includes at least two of the following: a character; a landscape; a text; a food and the like.
- the corresponding scenario information is saved, including: writing corresponding scenario information into the An extended scene field (denoted as Tag1) in the picture storage structure, the scene information refers to identification information of the scene, such as characters, landscapes, characters, food, and other scenes, respectively, using "portrit”, “landscape”, and “text” ",” “food”, “other” to identify, but not limited to, it can also be identified by other values such as 1, 2, 3, 4, 5, etc.
- Step 120 Determine scene detail information of the picture based on scene information of the picture.
- the method further includes: writing the scene detail information of the picture to the extended scene detail field (denoted as Tag2) in the picture storage structure.
- the picture storage structure including the extended scene field Tag1 and the scene detail field Tag2 is as shown in FIG. 2, and the picture storage structure may be a record of one picture in the image database.
- Tag2 is not necessarily an extended field, and the original attribute information in the picture storage structure may also be used as the scene detail information of the picture.
- the scene information of the picture identifies the scene of the picture as a character (ie, the picture is a person picture)
- the detected face feature information of the picture or the identification information thereof is used as the scene detail information of the picture.
- the detected face feature information of the picture is obtained by:
- the matched existing facial feature information is used as the detected facial feature information of the image
- the acquired facial feature information of the picture is added to the facial feature database and used as the detected facial feature information of the picture.
- the picture of the same person can be marked with the same value in the scene detail field, and the value can directly use the face feature information or the identification information of the face feature information.
- Information such as the number obtained by numbering the face feature information, and the like. This is equivalent to further distinguishing the characters' pictures into pictures of different characters such as Zhang San, pictures of Li Si, pictures of Wang Wu, etc., so as to facilitate the subsequent arrangement of pictures of the same person.
- M face feature information is obtained, M ⁇ 2. If M ⁇ N, N is the set maximum number of people, the M facial feature information can be matched separately, and the detected M personal face feature information is saved. If M>N, N pieces of M facial feature information acquired may be selected for matching, and the detected N personal face feature information is saved.
- the picture can appear in groups of multiple people.
- N face feature information is selected, the N areas with the largest area occupied by the face may be selected, or the N nearest to the center of the picture may be selected, and the like.
- the step is to determine the scene detail information of the picture based on the scene information of the picture, and further includes:
- the location information of the picture is used as the scene detail information of the picture.
- scene category information such as mountains, water, grass, forests, and the like identified based on the picture content may also be used as scene detail information.
- the location information of the location where the picture is taken can be obtained by one of the following methods:
- a positioning module such as GPS, etc.
- a map module such as Baidu map, etc.
- the location information of the picture location is determined according to the location of the captured picture.
- pictures of the same photographing place can be marked with the same value in the scene detail field.
- the shooting locations can be represented by administrative areas such as Beijing, Shanghai, Nanjing, and the like. It can also be a scenic spot indicating pictures taken in the Forbidden City, Temple of Heaven, Great Wall, Sun Yat-sen Mausoleum, Presidential Palace, Xuanwu Lake, etc.
- the location information of the shooting location can also directly use the location information identified by the map module. After saving the position information of the shooting location, the pictures of the same shooting location can be continuously arranged. The fineness of the location of the shooting location can be based on the needs of the user. To set it up.
- Determining the scene detail information of the picture based on the scene information of the picture may further include one or more of the following determining manners:
- the text content category identified according to the character is determined as the scene detail information of the picture.
- the text content category is divided into a chicken soup, a note, a schedule, and the like.
- the type of the food identified according to the picture content is determined as the scene detail information of the picture.
- the types of foods are divided into different types such as fruits, beverages, and stir-fries.
- the scene information of the picture identifies the scene of the picture as a set scene that does not distinguish the scene detail information
- the scene detail information of the picture is set to the same default value, such as a null value.
- the scene that does not distinguish the scene detail information may be an "other" scene.
- the above determination of the scene information and the scene detail information of the picture may be performed after the picture is taken or imported, or may be performed in batches according to user instructions or timing.
- Step 130 Sort the stored pictures based on the scene information of the picture and the scene detail information.
- Sorting the stored images can reflect the process of the user viewing the image, such as the following steps:
- the option of sorting by scene information is provided on the menu for sorting pictures; as shown in FIG. 3, the form of the option is not limited, and may be any form of buttons, menus, icons, and the like;
- the user After receiving the commands sorted by the scene information, the user displays optional scene information and optional scene details in each scene. As shown in Figure 4, there may be no scene details in some scenarios. And the scene detail information can be displayed hierarchically, and is not necessarily displayed simultaneously on one interface as shown in the figure;
- the user After receiving the scene information and/or scene detail information selected by the user, the user is presented with a picture with the selected information.
- the user can directly select the desired scene detail information or scene information. You can also select the desired scene information and then select the desired scene details.
- the user can easily find all the pictures of the selected scene or scene details, which is very convenient.
- the pictures with the same scene and scene details can be further sorted according to the shooting time, size, etc., and are not limited herein.
- the embodiment further provides a picture storage display device that can implement the above method, such as any device having a picture storage and display function, such as a mobile phone, a camera, a computer, and the like.
- the picture storage display device of this embodiment includes:
- a display device for displaying a picture
- a storage device for storing pictures
- the picture sorting apparatus includes:
- the scene determining module 10 is configured to: determine the scene of the picture and save the corresponding scene information by recognizing the content of the picture;
- the scene detail determining module 20 is configured to: determine scene detail information of the picture based on scene information of the picture;
- the sorting processing module 30 is configured to sort the stored pictures based on the scene information of the picture and the scene detail information.
- the scene determining module is configured to: determine a scene of the picture as one of setting scenes, where the setting scene includes at least two of the following:
- the scene determining module is configured to: write corresponding scene information into an extended scene field in the image storage structure, where the scene information refers to identification information of the scene.
- the scene detail determining module is further configured to: write scene detail information of the picture into an extended scene detail field in the picture storage structure.
- the scene information of the picture identifies the scene of the picture as a person
- the detected face feature information of the picture or the identification information thereof is used as the scene detail information of the picture.
- the scene detail determining module is configured to: obtain the detected face feature information of the picture by:
- the matched existing facial feature information is used as the detected facial feature information of the image
- the acquired facial feature information of the picture is added to the facial feature database and used as the detected facial feature information of the picture.
- the location information of the picture location or the scene category information of the picture is used as the scene detail information of the picture.
- the scene detail determining module is configured to: determine location information of the location where the picture is taken by one of:
- the determining is performed based on a positioning module and a map module in the photographing device Location information of the location where the picture was taken and saved; or
- the location information of the picture location is determined according to the location of the captured picture.
- the scene detail determining module is configured to: determine scene detail information of the picture based on the scene of the picture, including one or more of the following determining manners:
- the scene information of the picture identifies that the scene of the picture is a text
- the text content category identified according to the character is determined as the scene detail information of the picture
- the scene information of the picture identifies that the scene of the picture is a gourmet
- the food type identified according to the picture content is determined as the scene detail information of the picture
- the scene detail information of the picture is set to the same default value.
- the sort processing module is set to:
- the user When the stored picture is displayed, the user is presented with a scene that can be selected;
- the image sorting method in this embodiment divides the picture into different scenes without requiring the user to manually add a label, and arranges the pictures according to the scene and the detailed information of each scene (ie, the values of Tag1 and Tag2), for example, based on different Characters arrange people's pictures, arrange landscape pictures based on shooting locations, etc., so that users can quickly and continuously browse pictures that need to be viewed in a large number of pictures, such as pictures of a certain scene, pictures with certain scene details (such as all photos of a certain person, some All the photos of the wind attraction), this sorting method is not limited by the environment of the terminal, and can sort all the stored pictures, which has strong practicability.
- a large number of pictures are stored on a terminal device such as a mobile phone or a computer, and can be sorted according to the scene.
- the photos are arranged in order according to scene information such as characters, characters, scenery, food, and the like, so as to facilitate continuous browsing.
- scene information such as characters, characters, scenery, food, and the like, so as to facilitate continuous browsing.
- the image sorting method of this example includes:
- S301 Identify, by using an image recognition algorithm, the content of all the pictures, determine a scene of each picture content, and mark the field in the Tag1 field;
- S302. Determine scene detail information (face features, landscape locations, text content, and the like) of the picture of each scene and mark the field in the Tag2 field;
- the corresponding face feature information is determined to correspond to different characters; for the landscape picture, the position information of the place where the picture was taken is determined, and the like.
- FIG. 4 A display effect sorted according to the above steps is shown in Fig. 4. All pictures are divided into characters, characters, landscapes, foods, and other categories; among them, the characters are arranged according to different characters, and are divided into characters 1, characters 2, and characters. 3; the text is arranged according to different text content categories; the landscape pictures are arranged according to different shooting locations or scenes; the food is arranged according to different food types.
- the character pictures are arranged based on different characters, as shown in FIG.
- the S502 can be completed through steps S601 to S607, as shown in FIG.
- the display order of the person's photos can also be determined by detecting the facial features of the face and marking the height of the person in the Tag2 field.
- This example is based on different landscape sorting.
- S703 and S704 are replaced with: Get when The scene information of the former landscape picture, and the corresponding information is marked in the Tag2 field, and the remaining steps are unchanged.
- all or part of the steps of the above embodiments may also be implemented by using an integrated circuit. These steps may be separately fabricated into individual integrated circuit modules, or multiple modules or steps may be fabricated into a single integrated circuit module. achieve.
- the devices/function modules/functional units in the above embodiments may be implemented by a general-purpose computing device, which may be centralized on a single computing device or distributed over a network of multiple computing devices.
- the device/function module/functional unit in the above embodiment When the device/function module/functional unit in the above embodiment is implemented in the form of a software function module and sold or used as a stand-alone product, it can be stored in a computer readable storage medium.
- the above mentioned computer readable storage medium may be a read only memory, a magnetic disk or an optical disk or the like.
- the pictures are sorted based on the scene without requiring the user to manually add the labels, and the pictures are further arranged according to the detailed information of each scene, such as arranging pictures based on different characters in the character pictures, and based on the shooting in the landscape pictures.
- the pictures are arranged in a row, so that the user can quickly and continuously browse through the pictures to be viewed in a large number of pictures, such as all the photos of a certain person, and is not limited by the environment of the terminal, and has strong practicability.
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Abstract
本文公布一种图片排序方法和相应的图片存储显示设备，图片存储显示设备通过对图片内容的识别，确定所述图片的场景并保存相应的场景信息；然后基于所述图片的场景信息，确定所述图片的场景细节信息；基于图片的场景信息和场景细节信息，对存储的图片进行排序。
Description
本申请涉及但不限于图片管理技术。
在使用图库过程中，一个文件夹下保存有大量的照片，有人物、风景、美食、文字等，目前常用的图片排序方法为按时间、按文件名排序，也可以按照相册、位置、日期、标签等对图片进行分组。按照已有的排序方法，并不能很好的满足人们的需求。例如，几个朋友一起拍了许多照片，如果想查看某个特定场景下的照片，或想把所有自己的照片挑选出来或只查看某个人的照片，需要在手机上不断划屏查找或在电脑上用缩略图显示快速查找。
在已有专利(公开号：104731880A)中，提出了一种图片排序方法及装置，通过获取智能设备当前的场景信息、检测所述场景信息是否满足预设的排序条件，如果满足，根据所述场景信息对智能设备中的图片进行排序。例如小王在一个烤鸭店附近，则打开图片管理应用可以将与当前地理位置匹配的烤鸭店的图片在前排显示；小王在下雪天拍摄图片后，可以通过从第三方应用获取当前天气为下雪天，进而将管理应用中下雪天拍摄的图片进行优先排序。这种排序方法依赖于智能设备所处的环境，且仅对某类照片有排序作用，例如在烤鸭店附近仅对烤鸭店照片进行了优先排序，在下雪天仅对雪天拍摄的照片进行了优先排序。
发明内容
以下是对本文详细描述的主题的概述。本概述并非是为了限制权利要求的保护范围。
本文提供了以下技术方案。
一种图片排序方法，应用于图片存储显示设备，所述方法包括：
通过对图片内容的识别，确定所述图片的场景并保存相应的场景信息；
基于所述图片的场景信息，确定所述图片的场景细节信息；
基于图片的场景信息和场景细节信息，对存储的图片进行排序。
可选地
确定所述图片的场景，包括：将所述图片的场景确定为设定场景中的一种，所述设定场景包括以下至少两种：
人物；
风景；
美食；
其他。
可选地
所述保存相应的场景信息，包括：
将相应的场景信息写入所述图片存储结构中扩展的场景字段，所述场景信息指场景的标识信息。
可选地
确定所述图片的场景细节信息后，还包括：
将所述图片的场景细节信息写入所述图片存储结构中扩展的场景细节字段。
可选地
基于所述图片的场景信息，确定所述图片的场景细节信息，包括：
所述图片的场景信息标识所述图片的场景为人物时，将检测到的所述图片的人脸特征信息或其标识信息作为所述图片的场景细节信息。
可选地
所述检测到的所述图片的人脸特征信息通过以下方式得到：
获取所述图片的人脸特征信息；
将所述图片的人脸特征信息与人脸特征数据库中已有的人脸特征信息进行匹配：
如匹配成功，将匹配到的已有的人脸特征信息作为检测到的所述图片的人脸特征信息；
如匹配失败，将获取的所述图片的人脸特征信息加入所述人脸特征数据库并作为检测到的所述图片的人脸特征信息。
可选地
基于所述图片的场景，确定所述图片的场景细节信息，包括：
所述图片的场景信息标识所述图片的场景为风景时，将所述图片拍摄地的位置信息或所述图片的景物类别信息作为所述图片的场景细节信息。
可选地
所述图片拍摄地的位置信息通过以下方式之一获取：
在拍摄所述图片时，基于拍摄设备中的定位模块及地图模块，确定所述图片拍摄地的位置信息并保存；或者
通过将所述图片与网络上云存储的拍摄地位置已知的图片进行匹配，根据匹配到的图片的拍摄地位置确定所述图片拍摄地的位置信息。
可选地
基于所述图片的场景，确定所述图片的场景细节信息，包括以下确定方式的一种或多种：
所述图片的场景信息标识所述图片的场景为文字时，将根据所述文字识别出的文字内容类别确定为所述图片的场景细节信息；
所述图片的场景信息标识所述图片的场景为美食时，将根据图片内容识别出的美食种类确定为所述图片的场景细节信息；
所述图片的场景信息标识所述图片的场景为设定的不区分场景细节信息的场景时，将所述图片的场景细节信息置为同一默认值。
可选地
所述基于图片的场景信息和场景细节信息，对存储的图片进行排序，包括：
在图片排序的选单上提供“按场景信息排序”的选项；
收到用户按场景信息排序的指令后，显示可选的场景信息及每个场景下可选的场景细节信息；
收到用户选择的场景信息和/或场景细节信息后，向用户显示具有所选信息的图片。
一种图片存储显示设备，包括用于显示图片的显示装置和用于存储图片的存储装置，还包括图片排序装置，其中：
所述图片排序装置包括：
场景确定模块，设置为：通过对图片内容的识别，确定所述图片的场景并保存相应的场景信息；
场景细节确定模块，设置为：基于所述图片的场景信息，确定所述图片的场景细节信息；
排序处理模块，设置为：基于图片的场景信息和场景细节信息，对存储的图片进行排序。
可选地
所述场景确定模块是设置为：将所述图片的场景确定为设定场景中的一种，所述设定场景包括以下至少两种：
人物；
风景；
文字；
美食；
其他。
可选地
所述场景确定模块是设置为：将相应的场景信息写入所述图片存储结构中扩展的场景字段，所述场景信息指场景的标识信息。
可选地
所述场景细节确定模块还设置为：将所述图片的场景细节信息写入所述图片存储结构中扩展的场景细节字段。
可选地
所述场景细节确定模块是设置为：
所述图片的场景信息标识所述图片的场景为人物时，将检测到的所述图片的人脸特征信息或其标识信息作为所述图片的场景细节信息。
可选地
所述场景细节确定模块是设置为：通过以下方式得到检测到的所述图片的人脸特征信息：
获取所述图片的人脸特征信息；
将所述图片的人脸特征信息与人脸特征数据库中已有的人脸特征信息进行匹配：
如匹配成功，将匹配到的已有的人脸特征信息作为检测到的所述图片的人脸特征信息；
如匹配失败，将获取的所述图片的人脸特征信息加入所述人脸特征数据库并作为检测到的所述图片的人脸特征信息。
可选地
所述场景细节确定模块是设置为：
所述图片的场景信息标识所述图片的场景为风景时，将所述图片拍摄地的位置信息或所述图片的景物类别信息作为所述图片的场景细节信息。
可选地
所述场景细节确定模块是设置为：通过以下方式之一确定所述图片拍摄地的位置信息：
在拍摄所述图片时，基于拍摄设备中的定位模块及地图模块，确定所述图片拍摄地的位置信息并保存；或者
通过将所述图片与网络上云存储的拍摄地位置已知的图片进行匹配，根据匹配到的图片的拍摄地位置确定所述图片拍摄地的位置信息。
可选地
所述场景细节确定模块是设置为：基于所述图片的场景，确定所述图片的场景细节信息，包括以下确定方式的一种或多种：
所述图片的场景信息标识所述图片的场景为文字时，将根据所述文字识别出的文字内容类别确定为所述图片的场景细节信息；
所述图片的场景信息标识所述图片的场景为美食时，将根据图片内容识别出的美食种类确定为所述图片的场景细节信息；
所述图片的场景信息标识所述图片的场景为设定的不区分场景细节信息的场景时，将所述图片的场景细节信息置为同一默认值。
可选地
所述排序处理模块是设置为：
显示存储的图片时，向用户展示可以选择的场景；
根据用户选择的场景，显示具有用户所选场景的场景信息的图片；
显示具有用户所选场景的场景信息的图片时，对场景细节信息相同的图片连续显示。
一种计算机可读存储介质，存储有计算机可执行指令，所述计算机可执行指令用于执行上述任一项的方法。
上述图片排序方法及相应的设备，在不需要用户手动添加标签的情况下，将图片基于场景排序，并且根据每个场景的细节信息进一步排列图片，如在人物图片中基于不同人物排列图片，在风景图片中基于拍摄地排列图片，便于用户在大量图片中快速连续浏览需要查看的图片如某个人的所有照片,且不受终端所处环境限制，具有很强的实用性。
在阅读并理解了附图和详细描述后，可以明白其他方面。
附图概述
图1是本发明实施例图片排序方法的流程图；
图2是本发明实施例图片存储结构的示意图；
图3是本发明实施例图片排序选单的示意图；
图4是本发明实施例显示可选场景及可选场景细节的示意图；
图5是本发明实施例图片存储显示设备的模块图；
图6是本发明示例一图片排序方法的流程图；
图7是本发明示例二使人物图片基于不同人物进行排列的流程图；
图8是图7中步骤S502的流程图；
图9对本发明示例三对风景图片排序的流程图。
下文中将结合附图对本发明的实施方式进行详细说明。需要说明的是，在不冲突的情况下，本申请中的实施例及实施例中的特征可以相互任意组合。
实施例
本实施例提供一种图片排序方法，应用于图片存储显示设备，如图1所示，所述方法包括：
步骤110，通过对图片内容的识别，确定所述图片的场景并保存相应的场景信息；
对图片内容进行识别的图像识别算法很多，本文对此不做局限。
本实施例确定所述图片的场景，包括：将所述图片的场景确定为设定场景中的一种，所述设定场景包括以下至少两种：人物；风景；文字；美食和其他。在识别时，如果从图片内容中同时识别出多种内容，如人脸和山水，可以根据预定策略来判断，如只要有人脸即将图片的场景确定为人物；又如，即有山水又有文字，可以将图片的场景确定为其他，或者根据两者所占的区域大小，将图片的场景确定为区域较大的内容所对应的场景。
本实施例中，保存相应的场景信息，包括：将相应的场景信息写入所述
图片存储结构中扩展的场景字段(记为Tag1)，所述场景信息指场景的标识信息，例如人物、风景、文字、美食和其他这几种场景分别用“portrit”、“landscape”、“text”、“food”、“other”来标识，但不局限于此，也可以使用其他值如1，2，3，4，5等方式来分别标识。
步骤120，基于所述图片的场景信息，确定所述图片的场景细节信息；
不同场景下，进一步划分的场景细节不同，因此需要基于图片的场景信息来确定图片的场景细节。而确定所述图片的场景细节信息后，还可以包括：将所述图片的场景细节信息写入所述图片存储结构中扩展的场景细节字段(记为Tag2)。包括扩展后的场景字段Tag1和场景细节字段Tag2的图片存储结构如图2所示，该图片存储结构如可以是图像数据库中的一个图片的记录。需要说明的是，Tag2并不一定是扩展字段，也可以将图片存储结构中原有的属性信息作为图片的场景细节信息。
本步骤基于所述图片的场景信息，确定所述图片的场景细节信息，包括：
所述图片的场景信息标识所述图片的场景为人物(即图片为人物图片)时，将检测到的所述图片的人脸特征信息或其标识信息作为所述图片的场景细节信息。
所述检测到的所述图片的人脸特征信息通过以下方式得到：
获取所述图片的人脸特征信息；
将所述图片的人脸特征信息与人脸特征数据库中已有的人脸特征信息进行匹配：
如匹配成功，将匹配到的已有的人脸特征信息作为检测到的所述图片的人脸特征信息；
如匹配失败，将获取的所述图片的人脸特征信息加入所述人脸特征数据库并作为检测到的所述图片的人脸特征信息。
通过上述处理，可以将相同人物的图片在场景细节字段用相同值标注，这个值即可以直接使用人脸特征信息，也可以使用人脸特征信息的标识信
息，例如对人脸特征信息进行编号得到的序号等。这样相当于把人物图片进一步区分为不同人物如张三的图片、李四的图片、王五的图片等，便于后续将同一个人的图片连续排列。
一些图片中会存在多个人物，在做人脸检测时，获取到M个人脸特征信息，M≥2。如果M≤N，N为设定的最大人物个数，可以对该M个人脸特征信息分别进行匹配，保存检测到的M个人脸特征信息。如果M>N，可以从获取的M人脸特征信息中选择N个进行匹配，保存检测到的N个人脸特征信息。在显示时，该图片可以出现了多个人物的分组中。其中，选择N个脸特征信息时，可以选择人脸所占区域最大的N个，也可以选择离图片中心最近的N个等等，本文对此不做局限。
本步骤基于所述图片的场景信息，确定所述图片的场景细节信息，还包括：
所述图片的场景信息标识所述图片的场景为风景(即图片为风景图片)时，将所述图片拍摄地的位置信息作为所述图片的场景细节信息。在其他实施例中，也可以将基于图片内容识别出的景物类别信息如山，水，草地，森林等作为场景细节信息。
所述图片拍摄地的位置信息可以通过以下方式之一获取：
在拍摄所述图片时，基于拍摄设备中的定位模块(如GPS等)及地图模块(如百度地图等)，确定所述图片拍摄地的位置信息并保存；或者
通过将所述图片与网络上云存储的拍摄地位置已知的图片进行匹配，根据匹配到的图片的拍摄地位置确定所述图片拍摄地的位置信息。
通过上述处理，可以将相同拍摄地的图片在场景细节字段用相同值标注。这样相当于把风景图片进一步区分为不同拍摄地，拍摄地可以用行政区域表示如北京、上海、南京等。也可以是风景点表示如故宫、天坛、长城、中山陵、总统府、玄武湖等拍摄的图片，拍摄地的位置信息也可以直接采用地图模块识别出的位置信息.。保存图片拍摄地的位置信息后，显示时就可以将同一拍摄地的图片连续排列。拍摄地位置的精细程度可以根据用户的需
要来加以设定。
基于所述图片的场景信息，确定所述图片的场景细节信息，还可以包括以下一种或多种确定方式：
所述图片的场景信息标识所述图片的场景为文字(即图片为文字图片)时，将根据所述文字识别出的文字内容类别确定为所述图片的场景细节信息。所述文字内容类别如分为心灵鸡汤、注意事项、行程安排等。
所述图片的场景信息标识所述图片的场景为美食(即图片为美食图片)时，将根据图片内容识别出的美食种类确定为所述图片的场景细节信息。所述美食种类如分为水果、饮料、炒菜等不同的种类。
所述图片的场景信息标识所述图片的场景为设定的不区分场景细节信息的场景时，将所述图片的场景细节信息置为同一默认值如空值null。所述不区分场景细节信息的场景如可以是“其他”场景。
上述对图片的场景信息和场景细节信息的确定可以在图片拍摄或导入后即进行，也可以根据用户指令或定时成批量地进行。
步骤130，基于图片的场景信息和场景细节信息，对存储的图片进行排序。
对存储的图片进行排序可以体现用户查看图片的过程中，如可以包括以下步骤：
在图片排序的选单上提供“按场景信息排序”的选项；如图3所示，本文对选项的形式不做任何限制，可以是按键，菜单、图标等任何形式；
收到用户按场景信息排序的指令后，显示可选的场景信息及每个场景下可选的场景细节信息，如图4所示，有些场景下可能没有可选择的场景细节信息，另场景信息和场景细节信息可以分级显示，并不一定如图所示那样在一个界面上同时显示；
收到用户选择的场景信息和/或场景细节信息后，向用户显示具有所选信息的图片。用户可以直接选中所需的场景细节信息或场景信息。也可以先选中所需的场景信息，再选中所需的场景细节信息。
通过以上操作，用户可以很容易地查找到所选场景或场景细节的所有图片，非常方便。对于场景和场景细节均相同的图片，可以按照拍摄时间、大小等进一步排序，这里不做限定。
本实施例还提供了一种可实施上述方法的图片存储显示设备，如可以是手机、照相机、电脑等任何具有图片存储和显示功能的设备。本实施例的图片存储显示设备包括：
用于显示图片的显示装置；
用于存储图片的存储装置；及
图片排序装置。
如图5所示，所述图片排序装置包括：
场景确定模块10，设置为：通过对图片内容的识别，确定所述图片的场景并保存相应的场景信息；
场景细节确定模块20，设置为：基于所述图片的场景信息，确定所述图片的场景细节信息；
排序处理模块30，设置为：基于图片的场景信息和场景细节信息，对存储的图片进行排序。
可选地，
所述场景确定模块是设置为：将所述图片的场景确定为设定场景中的一种，所述设定场景包括以下至少两种：
人物；
风景；
文字；
美食；
其他。
可选地，
所述场景确定模块是设置为：将相应的场景信息写入所述图片存储结构中扩展的场景字段，所述场景信息指场景的标识信息。
可选地，
所述场景细节确定模块还设置为：将所述图片的场景细节信息写入所述图片存储结构中扩展的场景细节字段。
可选地，
所述场景细节确定模块是设置为：
所述图片的场景信息标识所述图片的场景为人物时，将检测到的所述图片的人脸特征信息或其标识信息作为所述图片的场景细节信息。
可选地，
所述场景细节确定模块是设置为：通过以下方式得到检测到的所述图片的人脸特征信息：
获取所述图片的人脸特征信息；
将所述图片的人脸特征信息与人脸特征数据库中已有的人脸特征信息进行匹配：
如匹配成功，将匹配到的已有的人脸特征信息作为检测到的所述图片的人脸特征信息；
如匹配失败，将获取的所述图片的人脸特征信息加入所述人脸特征数据库并作为检测到的所述图片的人脸特征信息。
可选地，
所述场景细节确定模块是设置为：
所述图片的场景信息标识所述图片的场景为风景时，将所述图片拍摄地的位置信息或所述图片的景物类别信息作为所述图片的场景细节信息。
可选地，
所述场景细节确定模块是设置为：通过以下方式之一确定所述图片拍摄地的位置信息：
在拍摄所述图片时，基于拍摄设备中的定位模块及地图模块，确定所述
图片拍摄地的位置信息并保存；或者
通过将所述图片与网络上云存储的拍摄地位置已知的图片进行匹配，根据匹配到的图片的拍摄地位置确定所述图片拍摄地的位置信息。
可选地，
所述场景细节确定模块是设置为：基于所述图片的场景，确定所述图片的场景细节信息，包括以下确定方式的一种或多种：
所述图片的场景信息标识所述图片的场景为文字时，将根据所述文字识别出的文字内容类别确定为所述图片的场景细节信息；
所述图片的场景信息标识所述图片的场景为美食时，将根据图片内容识别出的美食种类确定为所述图片的场景细节信息；
所述图片的场景信息标识所述图片的场景为设定的不区分场景细节信息的场景时，将所述图片的场景细节信息置为同一默认值。
可选地，
所述排序处理模块是设置为：
显示存储的图片时，向用户展示可以选择的场景；
根据用户选择的场景，显示具有用户所选场景的场景信息的图片；
显示具有用户所选场景的场景信息的图片时，对场景细节信息相同的图片连续显示。
本实施例的图片排序方法，在不需要用户手动添加标签的情况下，将图片区分为不同场景，并且根据场景和每个场景的细节信息(即Tag1和Tag2的值)排列图片，如基于不同人物排列人物图片，基于拍摄地排列风景图片等，便于用户在大量图片中快速连续浏览需要查看的图片如某个场景的图片，具有某个场景细节的图片(如某个人的所有照片、某个风景点的所有照片),这种排序方法不受终端所处环境限制，可以对存储的所有图片进行排序，具有很强的实用性。
下面进一步用实际应用中的示例进行说明。
示例一
手机或电脑等终端设备上保存有大量的图片，可以选择按照场景排序，如图3所示，把这些照片按照人物、文字、风景、美食、其他等场景信息进行顺序排列，以便于连续浏览需要查看的图片，如图6所示，本示例的图片排序方法包括：
S301，用图像识别算法对所有图片的内容进行识别，判断每个图片内容的场景并在Tag1字段标注；
S302，确定每个场景的图片的场景细节信息(人脸特征、风景地点、文字内容等)并在Tag2字段标注；
如对人物图片，确定相应的人脸特征信息以对应到不同的人物；对风景图片，确定图片拍摄地的位置信息，等等。
S303，对所有图片基于Tag1、Tag2字段排序；
按照上述步骤排序后的一种显示效果如图4所示，所有图片分为人物、文字、风景、美食、其他几类；其中，人物图片基于不同人物排列，分为人物1、人物2、人物3等；文字基于不同的文字内容类别排列；风景图片基于不同拍摄地或景物排列；美食基于不同美食种类排列。
示例二
本示例按照不同场景对照片排序时，使人物图片基于不同人物进行排列，如图7所示，
S501，用图像识别算法，判断图片内容的场景并在Tag1字段标注；
S502，对人物图片，通过人脸检测将相同人物的图片用相同的值在Tag2标注；
S503，对所有图片基于Tag1、Tag2字段排序；
其中，在S502可以经过步骤S601～S607来完成，如图8所示，
S601，选取一张人物图片；
S602，获取其人脸特征信息；
S603，将当前人物图片中的人脸特征信息与人脸特征数据库中的人脸特征信息分别匹配；
S604，查看是否能够成功匹配，如果匹配成功，执行S605；否则执行S606；
S605，将当前照片Tag2字段设成与匹配照片Tag2字段相同的值；
S606，将当前人脸特征信息保存到人脸特征数据库中，并将Tag2字段设成与当前所有人物图片Tag2字段不同的值；
S607，判断当前照片是否是最后一张人物照片，如果不是，执行S601；否则，结束对人物图片的人脸检测；
此外，也可以通过检测人脸的五官，在Tag2字段标注人物颜值高低来确定人物照片的显示顺序。
示例三
本示例基于不同风景排序，在根据场景对图片排序时，可以把风景中的图片按照下述细节信息进行排序：按照景点如总统府、中山陵、玄武湖等，或者按照不同景物如花、高山、大海、城市建筑等；或按照不同地点如北京、上海、南京等；
本示例的图片排序方法如图9所示，包括：
S701，用图像识别算法判断图片内容的场景并在Tag1字段标注；
S702，选取一张风景图片；
S703，获取当前风景图片拍摄地的地理位置信息；
S704，将相应的地理位置信息在Tag2字段标注；
S705，判断是否为最后一张风景图片，若否，执行S702，否是，执行S706；
S706，对所有图片基于Tag1，Tag2字段排序。
若按照景物信息对风景图片排序，可以将S703与S704替换为：获取当
前风景图片的景物信息，并将相应信息标注在Tag2字段，其余步骤不变。
上述本发明实施例序号仅仅为了描述，不代表实施例的优劣。
本领域普通技术人员可以理解上述实施例的全部或部分步骤可以使用计算机程序流程来实现，所述计算机程序可以存储于一计算机可读存储介质中，所述计算机程序在相应的硬件平台上(如系统、设备、装置、器件等)执行，在执行时，包括方法实施例的步骤之一或其组合。
可选地，上述实施例的全部或部分步骤也可以使用集成电路来实现，这些步骤可以被分别制作成一个个集成电路模块，或者将它们中的多个模块或步骤制作成单个集成电路模块来实现。
上述实施例中的装置/功能模块/功能单元可以采用通用的计算装置来实现，它们可以集中在单个的计算装置上，也可以分布在多个计算装置所组成的网络上。
上述实施例中的装置/功能模块/功能单元以软件功能模块的形式实现并作为独立的产品销售或使用时，可以存储在一个计算机可读取存储介质中。上述提到的计算机可读取存储介质可以是只读存储器，磁盘或光盘等。
本发明实施例在不需要用户手动添加标签的情况下，将图片基于场景排序，并且根据每个场景的细节信息进一步排列图片，如在人物图片中基于不同人物排列图片，在风景图片中基于拍摄地排列图片，便于用户在大量图片中快速连续浏览需要查看的图片如某个人的所有照片,且不受终端所处环境限制，具有很强的实用性。
Claims (15)
- 一种图片排序方法，应用于图片存储显示设备，所述方法包括：通过对图片内容的识别，确定所述图片的场景并保存相应的场景信息；基于所述图片的场景信息，确定所述图片的场景细节信息；基于图片的场景信息和场景细节信息，对存储的图片进行排序。
- 如权利要求1所述的方法，其中：确定所述图片的场景，包括：将所述图片的场景确定为设定场景中的一种，所述设定场景包括以下至少两种：人物；风景；美食；其他。
- 如权利要求1或2所述的方法，其中：所述保存相应的场景信息，包括：将相应的场景信息写入所述图片存储结构中扩展的场景字段，所述场景信息指场景的标识信息。
- 如权利要求1所述的方法，其中：确定所述图片的场景细节信息后，还包括：将所述图片的场景细节信息写入所述图片存储结构中扩展的场景细节字段。
- 如权利要求2或4所述的方法，其中：基于所述图片的场景信息，确定所述图片的场景细节信息，包括：所述图片的场景信息标识所述图片的场景为人物时，将检测到的所述图片的人脸特征信息或其标识信息作为所述图片的场景细节信息。
- 如权利要求5所述的方法，其中：所述检测到的所述图片的人脸特征信息通过以下方式得到：获取所述图片的人脸特征信息；将所述图片的人脸特征信息与人脸特征数据库中已有的人脸特征信息进行匹配：如匹配成功，将匹配到的已有的人脸特征信息作为检测到的所述图片的人脸特征信息；如匹配失败，将获取的所述图片的人脸特征信息加入所述人脸特征数据库并作为检测到的所述图片的人脸特征信息。
- 如权利要求2或4所述的方法，其中：基于所述图片的场景，确定所述图片的场景细节信息，包括：所述图片的场景信息标识所述图片的场景为风景时，将所述图片拍摄地的位置信息或所述图片的景物类别信息作为所述图片的场景细节信息。
- 如权利要求7所述的方法，其中：所述图片拍摄地的位置信息通过以下方式之一获取：在拍摄所述图片时，基于拍摄设备中的定位模块及地图模块，确定所述图片拍摄地的位置信息并保存；或者通过将所述图片与网络上云存储的拍摄地位置已知的图片进行匹配，根据匹配到的图片的拍摄地位置确定所述图片拍摄地的位置信息。
- 如权利要求2或4所述的方法，其中：基于所述图片的场景，确定所述图片的场景细节信息，包括以下确定方式的一种或多种：所述图片的场景信息标识所述图片的场景为文字时，将根据所述文字识别出的文字内容类别确定为所述图片的场景细节信息；所述图片的场景信息标识所述图片的场景为美食时，将根据图片内容识别出的美食种类确定为所述图片的场景细节信息；所述图片的场景信息标识所述图片的场景为设定的不区分场景细节信息的场景时，将所述图片的场景细节信息置为同一默认值。
- 如权利要求1、2、4、6或8所述的方法，其中：所述基于图片的场景信息和场景细节信息，对存储的图片进行排序，包括：在图片排序的选单上提供“按场景信息排序”的选项；收到用户按场景信息排序的指令后，显示可选的场景信息及每个场景下可选的场景细节信息；收到用户选择的场景信息和/或场景细节信息后，向用户显示具有所选信息的图片。
- 一种图片存储显示设备，包括用于显示图片的显示装置和用于存储图片的存储装置，还包括图片排序装置，其中：所述图片排序装置包括：场景确定模块，设置为：通过对图片内容的识别，确定所述图片的场景并保存相应的场景信息；场景细节确定模块，设置为：基于所述图片的场景信息，确定所述图片的场景细节信息；排序处理模块，设置为：基于图片的场景信息和场景细节信息，对存储的图片进行排序。
- 如权利要求11所述的设备，其中：所述场景确定模块是设置为：将所述图片的场景确定为设定场景中的一种，所述设定场景包括以下至少两种：人物；风景；文字；美食；其他。
- 如权利要求11或12所述的设备，其中：所述场景确定模块是设置为：将相应的场景信息写入所述图片存储结构中扩展的场景字段，所述场景信息指场景的标识信息。
- 如权利要求11所述的设备，其中：所述场景细节确定模块还设置为：将所述图片的场景细节信息写入所述图片存储结构中扩展的场景细节字段。
- 一种计算机可读存储介质，存储有计算机可执行指令，所述计算机可执行指令用于执行权利要求1-10任一项的方法。
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