WO2015184896A1 - 图片分类方法、装置及智能终端 - Google Patents

图片分类方法、装置及智能终端 Download PDF

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WO2015184896A1
WO2015184896A1 PCT/CN2015/074779 CN2015074779W WO2015184896A1 WO 2015184896 A1 WO2015184896 A1 WO 2015184896A1 CN 2015074779 W CN2015074779 W CN 2015074779W WO 2015184896 A1 WO2015184896 A1 WO 2015184896A1
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Prior art keywords
picture
scene information
shooting scene
shooting
classification
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PCT/CN2015/074779
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English (en)
French (fr)
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苏兴
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中兴通讯股份有限公司
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Publication of WO2015184896A1 publication Critical patent/WO2015184896A1/zh

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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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  • This paper relates to the field of communication technologies, and in particular, to a picture classification method, device and intelligent terminal.
  • the embodiment of the invention provides a picture classification method, a device and an intelligent terminal, so as to solve the problem that the subject of the picture classification method is blurred in the related art, resulting in low image search efficiency.
  • an embodiment of the present invention provides a picture classification method, including:
  • the shooting scene information of the picture is extracted, and the picture is classified according to the shooting scene information.
  • the shooting scene information of the picture is added to the picture attribute, including:
  • the shooting scene information is calculated, and the shooting scene information is added to the scene item field expanded in the picture attribute.
  • the classifying the pictures according to the shooting scene information including:
  • the pictures of the same shooting scene are divided into one category, and a folder corresponding to the shooting scene information is created, and a corresponding type of picture is stored.
  • the created folders corresponding to the shooting scene information are sorted in the order of the first characters or in a preset order.
  • the shooting scene information includes one or more of the following scene information: landscape, portrait, night scene, night portrait, sunset, action, party, theater, beach, snow scene, Fireworks, sports, candlelight, backlights and flowers.
  • an embodiment of the present invention provides a picture classification apparatus, including:
  • the camera module is configured to add shooting scene information of the picture in the picture attribute when the picture is taken;
  • the classification module is configured to extract the shooting scene information of the picture when the picture is classified, and classify the picture according to the shooting scene information.
  • the camera module is configured to calculate shooting scene information when the picture is taken, and add the shooting scene information to the scene item field extended in the picture attribute.
  • the classification module is configured to divide the pictures of the same shooting scene into one category according to the shooting scene information, and establish a folder corresponding to the shooting scene information, and store the corresponding type. picture of.
  • the folders corresponding to the shooting scene information established by the classification module are sorted in the order of the first characters or in a preset order.
  • an embodiment of the present invention further provides an intelligent terminal, where the smart terminal integrates the picture classification device provided by the present invention.
  • the embodiment of the present invention further provides a computer readable storage medium, where the storage medium stores a computer program, where the computer program includes program instructions, when the program instruction is executed by the terminal device, enabling the terminal device to perform the above-mentioned picture classification. method.
  • the image classification scheme provided by the embodiment of the present invention can be classified according to the scene of the picture, and the classification theme is clear, which is convenient for image location and search, which can save search time, improve search efficiency, and improve user experience.
  • FIG. 1 is a flowchart of a method for classifying pictures according to an embodiment of the present invention
  • FIG. 2 is a structural block diagram of a picture classification apparatus according to an embodiment of the present invention.
  • FIG. 3 is a flowchart of scene recognition in an embodiment of the present invention.
  • FIG. 4 is a flowchart of a picture classification process according to the scene identification process shown in FIG. 3 according to an embodiment of the present invention
  • FIG. 5 is a schematic diagram of an interface after a picture is classified according to an embodiment of the present invention.
  • An embodiment of the present invention provides a picture classification method, as shown in FIG. 1 , including the following steps:
  • Step S101 when shooting a picture, adding shooting scene information of the picture in the picture attribute;
  • Step S102 when the picture is classified, the shooting scene information of the picture is extracted, and the picture is classified according to the shooting scene information.
  • the scene information is added. It is added to the picture attribute, so that when the picture is classified, the picture can be classified by the shooting scene, and the classified picture theme corresponds to the shooting scene, which greatly facilitates the user to find the picture.
  • the format of the captured picture is optional but not limited to the Exchangeable Image File (EXIF) format.
  • EXIF Exchangeable Image File
  • the scene item field is expanded in the picture attribute; when the shooting scene information is calculated when the picture is taken, the shooting scene information is added to the scene item field. In this way, in the subsequent classification operation, only the scene item field can be searched to extract the shooting scene information, which is convenient for the search operation.
  • the categorizing the pictures according to the shooting scene information includes: dividing the pictures of the same shooting scene information into one category according to the shooting scene information, and establishing a folder corresponding to the shooting scene information, and storing Corresponding type of picture. It can be seen that, through the classification operation described in the embodiment of the present invention, similar pictures can be stored in a folder, and the theme name of the folder corresponds to the shooting scene, so that when the user searches for the picture, the user can narrow down according to the theme name of the folder. The scope of the search greatly improves the efficiency of the search. Moreover, each picture is stored in a category, which is also convenient for the user to manage the picture.
  • the created folders corresponding to the shooting scene information are sorted in the order of the first characters or in a preset order.
  • the shooting scene information includes but is not limited to the following scenes: landscape, portrait, night scene, night portrait, sunset, action, party, theater, beach, snow scene, fireworks, sports , candlelight, backlight and flowers.
  • An embodiment of the present invention provides a picture classification device, including a processor and a program storage device. As shown in FIG. 2, the method further includes:
  • the camera module 210 is adapted to add a picture field to the picture attribute when the picture is taken. Scene information
  • the classification module 220 is adapted to extract the shooting scene information of the picture when the picture is classified, and classify the picture according to the shooting scene information.
  • the shooting scene information is added to the picture attribute, so that when the picture is classified, the picture can be classified by using the shooting scene, and the classified picture theme is used.
  • the shooting scene it is very convenient for users to find pictures.
  • camera module 210 is preferably a camera.
  • the camera module 210 is specifically adapted to calculate shooting scene information when the picture is taken, and add the shooting scene information to the scene item field expanded in the picture attribute. This facilitates the extraction of the captured scene information by the classification module 220.
  • the classification module 220 is specifically adapted to divide the pictures of the same shooting scene information into one category according to the shooting scene information, and establish a folder corresponding to the shooting scene information, and store the corresponding type of pictures.
  • the created folders corresponding to the shooting scene information are sorted in the order of the first characters or in a preset order.
  • the shooting scene information includes but is not limited to the following scenes: landscape, portrait, night scene, night portrait, sunset, action, party, theater, beach, snow scene, fireworks, sports , candlelight, backlight and flowers.
  • An embodiment of the present invention provides an intelligent terminal, where the smart terminal integrates the image classification device according to the second embodiment, so that the smart terminal has the function of classifying pictures according to the scene.
  • the smart terminal may include, but is not limited to, a smart phone.
  • the smart terminal according to the embodiment includes the picture classification device according to the second embodiment, the technical effects of the picture classification device in the second embodiment can also be achieved, and details are not described herein.
  • the embodiment of the present invention provides a method for classifying pictures. This embodiment can better explain the specific implementation process of the solutions in Embodiments 1, 2, and 3 of the present invention by disclosing more technical details.
  • a scenario identification process is shown, which specifically includes:
  • step S301 the camera is used to take a photo.
  • the camera calculates specific shooting scene information according to the current scene. For example, in a portrait scene, the camera calculates whether or not a portrait scene is based on whether the scene is photographed, whether the face is occupied by the face, the number of faces, the feature of the face, etc.; the landscape scene, the camera is based on the AWB of the scene being shot (auto white Balance) and LUMA (brightness) and color are used to calculate the landscape scene; for the same reason, other scenes also have their own judgment features, and the corresponding shooting scene can be calculated according to the corresponding features.
  • AWB auto white Balance
  • LUMA yellowness
  • Step S303 adding a scene item in an attribute of a picture in the EXIF format.
  • the scene item of the picture is added. If the shooting scene is landscape, the EXIFTAGID_SCENE_TYPE is set to LANDSCAPE, if the shooting scene is other items, such as action (ACTION), night (NIGHT), sunset (SUNSET), party (PARTY), PORTRAIT, LANDSCAPE, NIGHTPORTRAIT, THRETRE, BEACH, SNOW, STEADYPHOTO, FIREWORKS, SPORTS For candlelight (CANDLELIGHT), backlight (BACKLIGHT), and flower (FLOWERS), set EXIFTAGID_SCENE_TYPE to the corresponding item.
  • action ACTION
  • NIGHT night
  • SUNSET sunset
  • PARTY party
  • PORTRAIT PORTRAIT
  • LANDSCAPE NIGHTPORTRAIT
  • THRETRE BEACH
  • SNOW STEADYPHOTO
  • FIREWORKS SPORTS For candlelight
  • BACKLIGHT backlight
  • FLOWERS flower
  • Step S304 the captured picture is placed in the library, and the process returns to step S301.
  • FIG. 4 it is a picture classification process based on the scene recognition process, which is as follows:
  • step S401 the user selects to classify the pictures according to the shooting scene in the gallery.
  • Step S402 traversing all the pictures EXIFTAGID_SCENE_TYPE in the gallery to extract shooting scene information
  • step S403 the pictures of the same shooting scene are divided into one class, a folder is created, and a corresponding type of picture is stored.
  • EXIFTAGID_SCENE_TYPE is a picture of LANDSCAPE
  • create a "Landscape" folder put all the images of EXIFTAGID_SCENE_TYPE for LANDSCAPE into this folder, and so on, extract all the scenes of the EXIFTAGID_SCENE_TYPE item, and then create the corresponding folder.
  • the folders created according to the shooting scene are sorted according to the first character, and the defaults are sorted in alphabetical order, or the user can arrange the favorite scenes at any position according to his or her preference.
  • the icon of the folder can be modified to the corresponding picture, such as landscape, the background of the folder is landscape, and other scenes are analogous.
  • FIG. 5 it is a schematic diagram of the interface after classification by the present invention.
  • the camera adds the scene item content to the attribute of the captured picture according to the actual photographed scene.
  • the user sorts, the user traverses the picture according to the scene classification and sorting.
  • the scene information in the scene item is divided into one category and placed in the same shooting scene named folder, and then the folder is sorted according to the alphabetical order of the first character of the scene, or according to the user setting. Sort.
  • the image classification scheme provided by the embodiment of the present invention can be classified according to the shooting scene of the picture, and the classification theme is clear, which is convenient for image positioning and searching, can save search time, improve search efficiency, and improve user experience.

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Abstract

一种图片分类方法、装置及智能终端，所述方法包括：在拍摄图片时，在图片属性中添加图片的拍摄场景信息；在图片分类时，提取图片的拍摄场景信息，按照拍摄场景信息对图片进行分类。本发明实施例所述的图片分类方案，能够按照图片的拍摄场景进行分类，分类主题明确，便于图片定位查找，节省查找时间，提高查找效率，提升用户体验。

Description

图片分类方法、装置及智能终端 技术领域
本文涉及通信技术领域，尤其涉及一种图片分类方法、装置及智能终端。
背景技术
目前，智能手机的用户越来越多，智能手机的拍照功能越来越强大，有代替单反的趋势，使用手机拍照的图片越来越多，目前对图片的分类主要还是按照时间，地点等排序，然而，这种排序方式主题不够明确，不方便用户查找图片。所以，如何提供一种分类方式，能够方便用户查找图片，成为目前亟待解决的技术问题。
发明内容
本发明实施例提供一种图片分类方法、装置及智能终端，以解决相关技术中图片分类方式主题模糊，导致图片查找效率低的问题。
依据本发明的一个方面，本发明实施例提供了一种图片分类方法，包括：
在拍摄图片时，在图片属性中添加图片的拍摄场景信息；
在图片分类时，提取图片的拍摄场景信息，按照所述拍摄场景信息对图片进行分类。
可选地，本发明所述所述方法中，所述在拍摄图片时，在图片属性中添加图片的拍摄场景信息，包括：
在拍摄图片时，计算拍摄场景信息，将所述拍摄场景信息添加到图片属性中扩展出的场景项字段中。
可选地，本发明所述所述方法中，所述按照拍摄场景信息对图片进行分类，包括：
按照拍摄场景信息，将相同拍摄场景的图片分为一类，并建立与拍摄场景信息对应的文件夹，存储对应类型的图片。
可选地，本发明所述所述方法中，所述建立的与拍摄场景信息对应的各文件夹按照首字符的顺序或者预先设定的顺序进行排序。
可选地，本发明所述所述方法中，所述拍摄场景信息包括如下场景信息中的一个或多个：风景、肖像、夜景、夜景肖像、日落、动作、派对、剧场、海滩、雪景、焰火、运动、烛光、背光和花卉。
依据本发明的另一个方面，本发明实施例提供了一种图片分类装置，包括：
摄像模块，设置为在拍摄图片时，在图片属性中添加图片的拍摄场景信息；
分类模块，设置为在图片分类时，提取图片的拍摄场景信息，按照所述拍摄场景信息对图片进行分类。
可选地，本发明所述图片分类装置中，所述摄像模块是设置为在拍摄图片时，计算拍摄场景信息，将所述拍摄场景信息添加到图片属性中扩展出的场景项字段中。
可选地，本发明所述图片分类装置中，所述分类模块是设置为按照拍摄场景信息，将相同拍摄场景的图片分为一类，并建立与拍摄场景信息对应的文件夹，存储对应类型的图片。
可选地，本发明所述图片分类装置中，所述分类模块建立的与拍摄场景信息对应的文件夹按照首字符的顺序或者预先设定的顺序进行排序。
依据本发明的再一个方面，本发明实施例还提供一种智能终端，所述智能终端集成有本发明提供的所述图片分类装置。
本发明实施例还提供一种计算机可读存储介质，所述存储介质存储有计算机程序，该计算机程序包括程序指令，当该程序指令被终端设备执行时，使得该终端设备可执行上述的图片分类方法。
本发明实施例的有益效果如下：
本发明实施例提供的图片分类方案，能够按照图片的场景进行分类，分类主题明确，便于图片定位查找，可以节省查找时间，提高查找效率，提升用户体验。
附图概述
下面将对实施例或现有技术描述中所需要使用的附图作一简单地介绍，显而易见地，下面描述中的附图仅仅是本发明的一些实施例，对于本领域普通技术人员来讲，在不付出创造性劳动性的前提下，还可以根据这些附图获得其他的附图。
图1为本发明实施例提供的一种图片分类方法的流程图；
图2为本发明实施例提供的一种图片分类装置的结构框图；
图3为本发明实施例中场景识别流程图；
图4为本发明实施例中基于图3所示场景识别流程下的图片分类流程图；
图5为本发明实施例中图片分类后的界面示意图。
本发明的较佳实施方式
下文中将结合附图对本发明的实施例进行详细说明。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。另外，虽然在流程图中示出了逻辑顺序，但是在某些情况下，可以以不同于此处的顺序执行所示出或描述的步骤。
实施例一
本发明实施例提供一种图片分类方法，如图1所示，包括如下步骤：
步骤S101，在拍摄图片时，在图片属性中添加图片的拍摄场景信息；
步骤S102，在图片分类时，提取图片的拍摄场景信息，按照拍摄场景信息对图片进行分类。
可见，本发明实施例所述方法中，在拍摄图片时，就将拍摄场景信息添 加到图片属性中，进而使得在图片分类时，可以利用拍摄场景对图片进行分类，分类后的图片主题与拍摄场景相对应，极大地方便用户查找图片。
基于上述原理阐述，下面给出几个具体及较佳实施方式，用以细化和优化本发明实施例所述方法的功能，以使本发明实施例的方案实施更方便，准确。具体地：
在本发明的一些实施例中，拍摄图片的格式可选但不限于可交换图像文件(EXIF，Exchangeable Image File)格式。
在本发明的一些实施例中，在图片属性中扩展出场景项字段；当在拍摄图片时，计算出拍摄场景信息后，将所述拍摄场景信息添加到所述场景项字段中。这样在后续分类操作时，只需搜索场景项字段即可提取出拍摄场景信息，为搜索操作提供便利。
在本发明的一些实施例中，按照拍摄场景信息对图片进行分类，具体包括：按照拍摄场景信息，将相同拍摄场景信息的图片分为一类，并建立与拍摄场景信息对应的文件夹，存储对应类型的图片。可见，经过本发明实施例所述分类操作，同类的图片可被存储到一个文件夹，文件夹的主题名称与拍摄场景对应，这样用户在查找图片时，就可以根据文件夹的主题名称，缩小查找范围，极大地提高了查找效率。而且，每个图片分类存储，也便于用户对图片进行管理。
其中，建立的与拍摄场景信息对应的每个文件夹按照首字符的顺序或者预先设定的顺序进行排序。
进一步地，在本发明的一些实施例中，所述的拍摄场景信息包括但不限于为如下场景：风景、肖像、夜景、夜景肖像、日落、动作、派对、剧场、海滩、雪景、焰火、运动、烛光、背光和花卉。
实施例二
本发明实施例提供一种图片分类装置，包括处理器和程序存储设备，如图2所示，还包括：
摄像模块210，适用于在拍摄图片时，在图片属性中添加图片的拍摄场 景信息；
分类模块220，适用于在图片分类时，提取图片的拍摄场景信息，按照拍摄场景信息对图片进行分类。
可见，本发明实施例所述图片分类装置中，在拍摄图片时，就将拍摄场景信息添加到图片属性中，进而使得在图片分类时，可以利用拍摄场景对图片进行分类，分类后的图片主题与拍摄场景相对应，极大地方便用户查找图片。
基于上述原理阐述，下面给出几个具体及较佳实施方式，用以细化和优化本发明实施例所述装置的功能，以使本发明实施例所述图片分类装置的实施更方便，准确。具体地：
在本发明的一些实施例中，摄像模块210较佳地为摄像头。
在本发明的一些实施例中，摄像模块210，具体适用于在拍摄图片时，计算拍摄场景信息，将所述拍摄场景信息添加到图片属性中扩展出的场景项字段中。这样为分类模块220提取拍摄场景信息提供便利。
在本发明的一些实施例中，分类模块220，具体适用于按照拍摄场景信息，将相同拍摄场景信息的图片分为一类，并建立与拍摄场景信息对应的文件夹，存储对应类型的图片。
其中，建立的与拍摄场景信息对应的文件夹按照首字符的顺序或者预先设定的顺序进行排序。
进一步地，在本发明的一些实施例中，所述的拍摄场景信息包括但不限于为如下场景：风景、肖像、夜景、夜景肖像、日落、动作、派对、剧场、海滩、雪景、焰火、运动、烛光、背光和花卉。
实施例三
本发明实施例提供一种智能终端，所述智能终端集成有实施例二所述的图片分类装置，以使智能终端具备按场景进行图片分类的功能。
其中，智能终端可以包括但不限于智能手机。
由于实施例二中已经对图片分类装置的结构及功能做了详细阐述，本实施例不再对图片分类装置的结构进行赘述。
由于本实施例所述智能终端包含实施例二所述的图片分类装置，所以也能达到实施例二中图片分类装置所能达到的技术效果，在此也不做赘述。
实施例四
本发明实施例提供一种图片分类方法，本实施例通过公开更多的技术细节，使其能够更好地说明本发明实施例一、二、三所述方案的具体实现过程。
如图3所示，示出了场景识别流程，具体包括：
步骤S301，使用摄像头进行拍照。
步骤S302，摄像头根据目前场景计算出具体的拍摄场景信息。例如，肖像场景，摄像头根据所拍场景是否有人脸、人脸占图片的面积、人脸的数量、人脸的特征等计算出是否肖像场景；风景场景，摄像头根据所拍场景的AWB(自动白平衡)和LUMA(亮度)以及色彩等计算出风景场景；同理，其他场景也都有各自的判定特征，按照对应的特征即可算出对应的拍摄场景。
步骤S303，在EXIF格式的图片的属性中添加场景项。
具体地，在EXIF的EXIFTAGID_SCENE_TYPEXIANG项添加图片的场景项，如果拍摄场景为风景，则EXIFTAGID_SCENE_TYPE设置为LANDSCAPE，如果拍摄场景为其他项，如动作(ACTION)、夜间(NIGHT)、日落(SUNSET)、派对(PARTY)、肖像(PORTRAIT)、风景(LANDSCAPE)、夜景肖像(NIGHTPORTRAIT)、剧院(THRETRE)、海滩(BEACH)、雪景(SNOW)、稳定(STEADYPHOTO)、火焰(FIREWORKS)、运动(SPORTS)、烛光(CANDLELIGHT)、背光(BACKLIGHT)、花卉(FLOWERS)，则EXIFTAGID_SCENE_TYPE设置为对应项即可。
步骤S304，将拍摄的图片放入图库，返回步骤S301。
如图4所示，为基于场景识别流程下的图片分类流程，具体如下：
步骤S401，用户在图库中选择按照拍摄场景对图片进行分类。
步骤S402，遍历图库中所有图片EXIFTAGID_SCENE_TYPE项，提取拍摄场景信息；
步骤S403，将相同的拍摄场景的图片分为一类，建立文件夹，存储对应类型的图片。
具体地，如果图片EXIFTAGID_SCENE_TYPE为LANDSCAPE的图片，建立“风景”文件夹，把所有EXIFTAGID_SCENE_TYPE为LANDSCAPE的图片放入此文件夹，依次类推，把所有图片EXIFTAGID_SCENE_TYPE项的场景提炼出来，然后建立相应的文件夹，把EXIFTAGID_SCENE_TYPE项中的图片放入相应的文件夹。
其中，根据拍摄场景建立的文件夹按照第一个字符进行排序，默认按照字母的顺序进行排序，或者，用户可以根据自己的喜好，把喜欢的场景排在任意一个位置。文件夹的图标可以修改为相应的图片，比如风景，文件夹的背景为风景，其他场景依次类推。如图5所示，为经过本发明分类后的界面示意图。
综上所述，可知本发明实施例在拍照时，摄像头根据实际拍照的场景，在所拍图片的属性中添加场景项内容，在图库排序时，如果使用者选择按场景分类和排序，遍历图片的场景项中的拍摄场景信息，如果同一拍摄场景的图片，则分为一类，放到同一拍摄场景命名文件夹内，然后文件夹按照场景第一个字符的字母顺序排序，或按照用户设置进行排序。
本领域普通技术人员可以理解上述方法中的全部或部分步骤可通过程序来指令相关硬件完成，所述程序可以存储于计算机可读存储介质中，如只读存储器、磁盘或光盘等。可选地，上述实施例的全部或部分步骤也可以使用一个或多个集成电路来实现。相应地，上述实施例中的各模块/单元可以采用硬件的形式实现，也可以采用软件功能模块的形式实现。本发明不限制于任何特定形式的硬件和软件的结合。
当然，本发明还可有其他多种实施例，在不背离本发明精神及其实质的情况下，熟悉本领域的技术人员当可根据本发明作出各种相应的改变和变形，但这些相应的改变和变形都应属于本发明的权利要求的保护范围。
工业实用性
本发明实施例提供的图片分类方案，能够按照图片的拍摄场景进行分类，分类主题明确，便于图片定位查找，可以节省查找时间，提高查找效率，提升用户体验。

Claims (11)

  1. 一种图片分类方法，包括：
    在拍摄图片时，在图片属性中添加图片的拍摄场景信息；
    在图片分类时，提取图片的拍摄场景信息，按照所述拍摄场景信息对图片进行分类。
  2. 如权利要求1所述的方法，其中，所述在拍摄图片时，在图片属性中添加图片的拍摄场景信息，包括：
    在拍摄图片时，计算拍摄场景信息，将所述拍摄场景信息添加到图片属性中扩展的场景项字段中。
  3. 如权利要求1或2所述的方法，其中，所述按照拍摄场景信息对图片进行分类，包括：
    按照拍摄场景信息，将相同拍摄场景的图片分为一类，并建立与拍摄场景信息对应的文件夹，存储对应类型的图片。
  4. 如权利要求3所述的方法，其中，所述建立的与拍摄场景信息对应的文件夹按照首字符的顺序或者预先设定的顺序进行排序。
  5. 如权利要求1所述的方法，其中，所述拍摄场景信息包括如下场景信息中的一个或多个：风景、肖像、夜景、夜景肖像、日落、动作、派对、剧场、海滩、雪景、焰火、运动、烛光、背光和花卉。
  6. 一种图片分类装置，包括：
    摄像模块，设置为在拍摄图片时，在图片属性中添加图片的拍摄场景信息；
    分类模块，设置为在图片分类时，提取图片的拍摄场景信息，按照所述拍摄场景信息对图片进行分类。
  7. 如权利要求6所述的装置，其中，所述摄像模块是设置为在拍摄图片时，计算拍摄场景信息，将所述拍摄场景信息添加到图片属性中扩展的场景项字段中。
  8. 如权利要求6或7所述的装置，其中，所述分类模块是设置为按照拍 摄场景信息，将相同拍摄场景的图片分为一类，并建立与拍摄场景信息对应的文件夹，存储对应类型的图片。
  9. 如权利要求8所述的装置，其中，所述分类模块建立的与拍摄场景信息对应的文件夹按照首字符的顺序或者预先设定的顺序进行排序。
  10. 一种智能终端，所述智能终端集成有权利要求6至9任意一项所述的图片分类装置。
  11. 一种计算机可读存储介质，所述存储介质存储有计算机程序，该计算机程序包括程序指令，当该程序指令被终端设备执行时，使得该终端设备可执行权利要求1-5任一项的方法。
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