WO2017113710A1 - 照片的批量处理方法及装置 - Google Patents

照片的批量处理方法及装置 Download PDF

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WO2017113710A1
WO2017113710A1 PCT/CN2016/089012 CN2016089012W WO2017113710A1 WO 2017113710 A1 WO2017113710 A1 WO 2017113710A1 CN 2016089012 W CN2016089012 W CN 2016089012W WO 2017113710 A1 WO2017113710 A1 WO 2017113710A1
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Prior art keywords
photo
batch processing
preset
photos
specific character
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English (en)
French (fr)
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周亚萌
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Le Holdings Beijing Co Ltd
Lemobile Information Technology (Beijing) Co Ltd
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Le Holdings Beijing Co Ltd
Lemobile Information Technology (Beijing) Co Ltd
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    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; 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
    • G06F16/51—Indexing; Data structures therefor; Storage structures
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/50—Information retrieval; Database structures therefor; File system structures therefor of still image data
    • G06F16/58—Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually
    • G06F16/583—Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually using metadata automatically derived from the content
    • G06F16/5838—Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually using metadata automatically derived from the content using colour

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  • the present application relates to image processing technologies, and in particular, to a batch processing method and apparatus for photographs.
  • Terminal devices such as mobile phones and tablets generally have a photographing function, so that personal photos become the largest carrier of personal information on these terminal devices.
  • the embodiment of the present application provides a batch processing method and device for photographs, so as to reduce a large number of manual operations, and implement fast and effective photo batch processing.
  • an embodiment of the present application provides a method for batch processing a photo, including: performing face recognition learning on a plurality of preset photos to obtain a specific character element, the preset photo having a face of the same person Searching for the target photo according to the specific character element; storing the photo matching the specific character element in the preset space according to the retrieval result; and storing the photo stored therein according to the storage parameter of the preset space Batch processing.
  • the embodiment of the present application further provides a batch processing device for a photo, including: a face recognition module, configured to perform face recognition learning on a plurality of preset photos to obtain a specific character element, where the preset photo includes the same a facial feature of the character; a retrieval module, configured to retrieve the target photo according to the specific character element acquired by the face recognition module; a storage module, configured to store, according to a retrieval result of the retrieval module, a photo that matches the specific character element to a preset space; and a batch processing module, configured to store the photo in the preset space according to the storage parameter
  • the photos are processed in batches.
  • an embodiment of the present application provides a batch processing apparatus for a photo, including a memory, one or more processors, and one or more programs, wherein the one or more programs are in the one or more programs.
  • the processor performs the following operations: performing face recognition learning on a plurality of preset photos to obtain a specific character element, the preset photo having a facial feature of the same person; and the target photo according to the specific character element Performing a search; storing, according to the search result, a photo matching the specific character element to a preset space; and performing batch processing on the photo stored therein according to the storage parameter of the preset space.
  • embodiments of the present application provide a computer readable storage medium having stored thereon computer executable instructions that, in response to execution, cause a batch processing apparatus of a photo to perform an operation,
  • the operation includes: performing face recognition learning on a plurality of preset photos to acquire a specific character element, the preset photo having a facial feature of the same person; and searching the target photo according to the specific character element; Searching the result, storing the photo matching the specific character element in a preset space; performing batch processing on the photo stored therein according to the storage parameter of the preset space.
  • the batch processing method and device for photographs provided by the embodiments of the present invention reduce the number of manual operations by using the face recognition technology to automatically retrieve and match photos according to the acquired specific character elements, thereby realizing fast and effective photo batch processing. .
  • FIG. 1 is a flowchart of a method for processing a batch processing method of a photo according to an embodiment of the present disclosure
  • FIG. 2 is a flowchart of a method for performing another method for batch processing a photo according to an embodiment of the present disclosure
  • FIG. 3 is a schematic structural diagram of an embodiment of a batch processing apparatus for photographs according to an embodiment of the present application
  • FIG. 4 is another embodiment of a batch processing apparatus for photographs according to an embodiment of the present application. Schematic;
  • FIG. 5 is a schematic structural diagram of still another embodiment of a batch processing apparatus for photographs according to an embodiment of the present application.
  • FIG. 6 is a schematic structural diagram of an embodiment of a computer program product for batch processing of photos according to an embodiment of the present application.
  • 310-face recognition module 320-retrieval module, 330-storage module, 340-batch processing module, 350-allocation module, 360-setting module, 370-photo acquisition module, 341-encryption unit, 342-hidden unit, 343 - Directed sharing unit.
  • FIG. 1 is a flowchart of a method for processing a batch of photos according to an embodiment of the present disclosure.
  • the execution body of the method may be a terminal device with a camera function, such as a smart digital product such as a mobile phone or a Pad, or may be integrated. A device or chip on these terminal devices.
  • the batch processing method of the photo includes the following steps:
  • the target photo to be batch processed is searched based on the acquired specific character element.
  • the result of the search is that the target photo is divided into a photo that matches a specific character element, and a photo that does not match the specific character element.
  • the preset space corresponds to the specific character element and is specifically used for storing A photo of the specific character element.
  • S140 Perform batch processing on the photos stored therein according to the storage parameters of the preset space.
  • the preset space corresponding to the specific character element is provided with a storage parameter, and the storage parameter may be different according to the specific character element, and different batch processing may be performed for the photo containing the different specific character element.
  • the method for batch processing a photo provided by the embodiment of the present application automatically searches for and retrieves a photo according to the acquired specific character element by using a face recognition technology, and stores the retrieved photo containing the specific character element in the corresponding image.
  • the preset space is used for different batch processing of different character elements, which reduces a lot of manual operations and realizes fast and effective photo batch processing.
  • FIG. 2 is a flowchart of a method for performing another method for batch processing a photo according to an embodiment of the present application. As shown in FIG. 2, on the basis of the foregoing embodiment, the batch processing method of the photo provided in this embodiment may further include the following steps:
  • S210 Perform face recognition learning on a plurality of preset photos to obtain a specific character element, where the preset photo contains facial features of the same person.
  • the preset photo can be acquired by shooting or directly selected from the photo storage space.
  • a plurality of clear photos containing a certain person may be directly selected from the storage space as a preset photo for face recognition learning; when the specific character is on the scene You can also take photos directly and get a few clear photos as preset photos, which reduces the operation of selecting photos from the photo storage space.
  • the preferred solution in the embodiment of the present application is to use 5-10 preset photos, which can ensure that the face recognition process is completed in a reasonable time, and the subsequent search has a high degree of matching.
  • a specific character element After a specific character element is acquired, it can be assigned a corresponding preset space, which is specifically used to store a photo containing the specific character element. Then, the user can issue an instruction to set a storage parameter for the preset space, and the storage parameter can be used to perform different batch processing on the photos stored in the preset space.
  • steps S210 to S230 may be repeated to obtain respective specific character elements for different specific characters, allocate respective preset spaces, and set respective storage parameters.
  • Each specific character element can be stored in a face recognition database.
  • the target photo in this step is directly acquired from the photo storage space.
  • the target photo in this step can be obtained by shooting, and the original photo is acquired whenever the terminal device takes a new photo.
  • YUV (existing color coding method) data which matches the face data recognized in the YUV data with each specific person element in the face recognition database, when the retrieved photo matches a specific character element
  • JPEG a conventional compression standard
  • S260 Encrypt, hide, or direct the sharing operation of the photos stored in the preset space according to different storage parameters.
  • different storage parameters may be set for different preset spaces to perform different operations.
  • a storage parameter corresponding to the encryption operation and/or the hidden operation may be set; when the photo stored in the preset space needs to be shared to a certain person, the corresponding operation corresponding to the directed sharing operation may be set.
  • Store parameters. The user can also enter the preset space for viewing. When the storage is found to be incorrect, the error photo can be set as a preset photo, and the face recognition learning can be performed again to optimize the face recognition.
  • the algorithm further improves the matching degree during retrieval; similarly, after the photos stored in the regular photo storage space are retrieved, they may not be stored in the corresponding preset space due to the recognition error, so the user can also enter the photos.
  • the storage space is viewed, and when an erroneous photo is found, it is set as a preset photo to re-learn face recognition.
  • the normal path is directly stored in the default photo storage space of the terminal device.
  • the setting can be canceled, the terminal device will automatically delete the specific character element stored in the face recognition database, and the automatic retrieval will not be performed when the photo is taken again.
  • the user can also manually refresh the program to reset the storage location of the photo of the specific person in the preset space, and restore the default storage location.
  • the batch processing method of the photo provided by the embodiment of the present application automatically searches for and matches a photo stored in the terminal device or a photo directly captured according to a specific character element by using a face recognition technology, and the retrieved content includes the specific
  • the photo of the character element is stored in the corresponding preset space, and the operation, such as encryption, hiding or directed sharing, is performed for different character elements, thereby reducing a large number of manual operations and realizing fast and effective photo batch processing.
  • FIG. 3 is a schematic structural diagram of an embodiment of a batch processing apparatus for photographs according to an embodiment of the present invention, which can be used to perform the method steps shown in FIG. 1.
  • the apparatus may include: a face recognition module 310, a retrieval module 320, a storage module 330, and a batch processing module 340.
  • the face recognition module 310 is configured to perform face recognition learning on a plurality of preset photos to obtain a specific character element, the preset photo includes facial features of the same person; the retrieval module 320 is configured to use the face recognition module.
  • the specific character element acquired by 310 retrieves the target photo;
  • the storage module 330 is configured to store the photo matching the specific character element in the preset space according to the retrieval result of the retrieval module 320;
  • the batch processing module 340 is configured to use the preset space according to the preset space
  • the storage parameters are batch processed for the photos stored in them.
  • the face recognition module 310 performs a number of clear photos containing a particular person. Face recognition learning, after learning is completed, the specific character element is obtained. Then, the retrieval module 320 searches for the target photo to be batch processed according to the specific character element acquired by the face recognition module 310. The result of the search is that the target photo is divided into a photo that matches a specific character element, and a photo that does not match the specific character element.
  • the storage module 330 transmits a photo of the target photo that matches the specific character element to the preset space for storage.
  • the preset space corresponds to the specific character element and is specifically used to store a photo containing the specific character element.
  • the preset space corresponding to the specific character element is provided with storage parameters, and the storage parameters may be different according to different specific character elements, and the batch processing module 340 may perform different batch processing on the photos containing different specific character elements.
  • the batch processing device for photographs provided by the embodiments of the present application automatically searches for photos according to the acquired specific character elements by using the face recognition technology, and stores the retrieved photos containing the specific character elements in the corresponding photos.
  • the preset space is used for different batch processing of different character elements, which reduces a lot of manual operations and realizes fast and effective photo batch processing.
  • FIG. 4 is a schematic structural diagram of another embodiment of a batch processing apparatus for photographs according to an embodiment of the present application, which can be used to perform the method steps shown in FIG. 2.
  • the batch processing apparatus of the photo provided by the embodiment of the present application may further include: an allocation module 350 and a setting module 360.
  • the distribution module 350 is configured to allocate a preset space for the specific character element acquired by the face recognition module 310.
  • the setting module 360 is configured to set a storage parameter for the preset space according to the received instruction.
  • the distribution module 350 may assign a corresponding preset space to it, specifically for storing a photo containing the specific character element. Then, the user can issue an instruction to set a storage parameter for the preset space, and the setting module 360 sets a storage parameter for the preset space according to the received instruction, and the storage parameter can be used to subsequently perform different photos on the photos stored in the preset space. Batch processing.
  • the batch processing module 340 may include an encryption unit 341, a hiding unit 342, and an orientation sharing unit 343.
  • the encryption unit 341 is configured to perform an encryption operation on the photo stored in the preset space according to the storage parameter of the preset space.
  • the hiding unit 342 is configured to hide the photo stored in the preset space according to the storage parameter of the preset space.
  • the directional sharing unit 343 is configured to perform a directional sharing operation on the photos stored in the preset space according to the storage parameters of the preset space.
  • different storage parameters may be set for different preset spaces to perform different operations.
  • a storage parameter corresponding to the encryption operation and/or the hidden operation may be set; when the photo stored in the preset space needs to be shared to a certain person, the corresponding operation corresponding to the directed sharing operation may be set.
  • the batch processing apparatus of the photo may further include a photo acquisition module 370 for acquiring by photographing or directly selecting a preset photo from the photo storage space.
  • the photo obtaining module 370 may directly select a plurality of clear photos containing a certain person from the storage space as a preset photo for face recognition learning; when the specific When the character is at the scene, the photo acquisition module 370 can obtain several clear photos as preset photos by shooting, thereby reducing the operation of selecting photos from the photo storage space.
  • the preferred solution in the embodiment of the present application is to use 5-10 preset photos, which can ensure that the face recognition process is completed in a reasonable time, and the subsequent search has a high degree of matching.
  • the photo acquisition module 370 can also be used to obtain an error photo as a preset photo from a preset space or a photo storage space.
  • the user can enter the preset space for viewing.
  • the photo obtaining module 370 can set the wrong photo in the preset space as the preset photo, and the face recognition module 310 performs the face recognition learning again to optimize the person.
  • the face recognition algorithm further improves the matching degree during retrieval; similarly, the photos stored in the conventional photo storage space are retrieved.
  • the module 320 retrieves, it may not be stored in the corresponding preset space due to the recognition error. Therefore, the user may also enter the photo storage space for viewing.
  • the obtaining module 370 may error in the photo storage space.
  • the photo is set as a preset photo to re-learn face recognition.
  • the photo capture module 370 can also be used to capture by capture or to directly capture a target photo from a photo storage space.
  • the target photo is directly acquired from the photo storage space. If the user has set the preset space and storage parameters of each specific character element, the target photo can be acquired by shooting, and each time the terminal device takes a new photo, the photo acquisition module 370 acquires the original YUV of the photo (currently There is a color coding method) data, and the retrieval module 320 matches the specific face elements in the face recognition database for the face data recognized in the YUV data, and when the retrieved photo matches the specific person element
  • the storage module 330 compresses the photo into JPEG (a conventional compression standard) and then stores it in the corresponding space, and the batch processing module 340 performs corresponding processing.
  • JPEG a conventional compression standard
  • the storage module 330 can also be used to store a photo that does not match a particular character element for regular path storage.
  • the normal path is directly stored in the default photo storage space of the terminal device.
  • the setting can be canceled, the terminal device will automatically delete the specific character element stored in the face recognition database, and the automatic retrieval will not be performed when the photo is taken again.
  • the user can also manually refresh the program to reset the storage location of the photo of the specific person in the preset space, and restore the default storage location.
  • the batch processing device of the photo provided by the embodiment of the present application automatically searches for and matches a photo stored in the terminal device or a photo directly captured according to a specific character element by using a face recognition technology, and the retrieved content includes the specific
  • the photo of the character element is stored in the corresponding preset space, and the operation, such as encryption, hiding or directed sharing, is performed for different character elements, thereby reducing a large number of manual operations and realizing fast and effective photo batch processing.
  • FIG. 5 is a schematic structural diagram of still another embodiment of a batch processing apparatus for photographs according to an embodiment of the present application.
  • the batch processing apparatus of the photo of the embodiment of the present application includes a memory 61, one or more processors 62, and one or more programs 63.
  • the one or more programs 63 when executed by one or more processors 62, perform any of the above-described embodiments.
  • the batch processing apparatus for photographs provided by the embodiments of the present invention reduces the number of manual operations by using the face recognition technology to automatically retrieve and match the photographs according to the acquired specific character elements, thereby realizing fast and effective photo batch processing.
  • FIG. 6 is a schematic structural diagram of an embodiment of a computer program product for batch processing of photos according to an embodiment of the present application.
  • the computer program product 71 for batch processing of photos of the embodiment of the present application may include a signal bearing medium 72.
  • Signal bearing medium 72 may include one or more instructions 73 that, when executed by, for example, a processor, may provide the functionality described above with respect to Figures 1-4.
  • the instruction 73 may include: performing face recognition learning on a plurality of preset photos to acquire a specific character element, the preset photo having one or more instructions of a facial feature of the same person; One or more instructions for the specific character element to retrieve the target photo; one or more instructions for storing a photo matching the particular character element to the preset space according to the retrieval result; One or more instructions for storing the photos stored therein in the storage parameters of the preset space.
  • the batch processing apparatus of the photo may perform one or more of the steps shown in FIG. 1 in response to the instruction 73.
  • signal bearing medium 72 can include computer readable media 74 such as, but not limited to, a hard disk drive, a compact disk (CD), a digital versatile disk (DVD), a digital tape, a memory, and the like.
  • the signal bearing medium 72 can include a recordable medium 75 such as, but not limited to, a memory, a read/write (R/W) CD, an R/W DVD, and the like.
  • signal bearing medium 72 can include communication medium 76 such as, but not limited to, digital and/or analog communication media (eg, fiber optic cable, waveguide, wireline Letter link, wireless communication link, etc.).
  • computer program product 71 can be transmitted to one or more modules of a batch processing device of a photo via RF signal bearing medium 72, wherein signal bearing medium 72 is comprised of a wireless communication medium (eg, a wireless communication medium compliant with the IEEE 802.11 standard) ) Transfer.
  • a wireless communication medium eg, a wireless communication medium compliant with the IEEE 802.11 standard
  • the computer program product of the embodiment of the present invention reduces the number of manual operations by using the face recognition technology to automatically retrieve and match the photos according to the acquired specific character elements, thereby realizing fast and effective photo batch processing.

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Abstract

一种照片的批量处理方法及装置。该方法包括：对数张预设照片进行人脸识别学习，以获取特定人物元素（110）；根据该特定人物元素对目标照片进行检索（120）；根据检索结果，将与特定人物元素匹配的照片存储到预设空间（130）；根据预设空间的存储参数对存储于其中的照片进行批量处理（140）。该方法通过采用人脸识别技术，根据获取到的特定人物元素自动对照片检索、匹配，减少了大量的手动操作，实现了快速有效的照片批量处理。

Description

照片的批量处理方法及装置
本专利申请要求申请日为2015年12月31日、申请号为2015110214181的中国专利申请的优先权，并将上述专利申请以引用的方式全文引入本文中。
技术领域
本申请涉及图像处理技术，尤其涉及一种照片的批量处理方法及装置。
背景技术
随着智能数码产品的功能越来越丰富，越来越多的个人信息会存储在数码产品上。诸如手机、Pad等终端设备，一般都带有拍照功能，使得个人照片在这些终端设备上成为个人信息的最大载体。
现有技术中，对终端设备中照片的分类、加密、分享等处理通常采用手动操作，手动浏览所有照片，手动选择照片，然后手动进行相应的操作。当照片存储量很大时，手动处理耗时耗力，不便于操作。
发明内容
本申请实施例提供一种照片的批量处理方法及装置，以减少大量的手动操作，实现快速有效的照片批量处理。
为达到上述目的，本申请实施例提供了一种照片的批量处理方法，包括：对数张预设照片进行人脸识别学习，以获取特定人物元素，所述预设照片含有同一个人物的脸部特征；根据所述特定人物元素对目标照片进行检索；根据检索结果，将与所述特定人物元素匹配的照片存储到预设空间；根据所述预设空间的存储参数对存储于其中的照片进行批量处理。
本申请实施例还提供了一种照片的批量处理装置，包括：人脸识别模块，用于对数张预设照片进行人脸识别学习，以获取特定人物元素，所述预设照片含有同一个人物的脸部特征；检索模块，用于根据所述人脸识别模块获取的所述特定人物元素对目标照片进行检索；存 储模块，用于根据所述检索模块的检索结果，将与所述特定人物元素匹配的照片存储到预设空间；批量处理模块，用于根据所述预设空间的存储参数对存储于其中的照片进行批量处理。
另一方面，本申请实施例提供一种照片的批量处理装置，包括存储器、一个或多个处理器以及一个或多个程序，其中，所述一个或多个程序在由所述一个或多个处理器执行时执行下述操作：对数张预设照片进行人脸识别学习，以获取特定人物元素，所述预设照片含有同一个人物的脸部特征；根据所述特定人物元素对目标照片进行检索；根据检索结果，将与所述特定人物元素匹配的照片存储到预设空间；根据所述预设空间的存储参数对存储于其中的照片进行批量处理。
另一方面，本申请实施例提供一种计算机可读存储介质，所述计算机可读存储介质上存储有计算机可执行指令，所述计算机可执行指令响应于执行使得照片的批量处理装置执行操作，所述操作包括：对数张预设照片进行人脸识别学习，以获取特定人物元素，所述预设照片含有同一个人物的脸部特征；根据所述特定人物元素对目标照片进行检索；根据检索结果，将与所述特定人物元素匹配的照片存储到预设空间；根据所述预设空间的存储参数对存储于其中的照片进行批量处理。
本申请实施例提供的照片的批量处理方法及装置，通过采用人脸识别技术，根据获取到的特定人物元素自动对照片检索、匹配，减少了大量的手动操作，实现了快速有效的照片批量处理。
附图说明
图1为本申请实施例提供的照片的批量处理方法一个实施例的方法流程图；
图2为本申请实施例提供的照片的批量处理方法另一个实施例的方法流程图；
图3为本申请实施例提供的照片的批量处理装置一个实施例的结构示意图；
图4为本申请实施例提供的照片的批量处理装置另一个实施例的 结构示意图；
图5为本申请实施例提供的照片的批量处理装置的又一个实施例的结构示意图；
图6为本申请实施例提供的用于照片的批量处理的计算机程序产品一个实施例的结构示意图。
附图标记说明：
310-人脸识别模块、320-检索模块、330-存储模块、340-批量处理模块、350-分配模块、360-设置模块、370-照片获取模块、341-加密单元、342-隐藏单元、343-定向分享单元。
具体实施方式
下面结合附图对本申请实施例照片的批量处理方法及装置进行详细描述。
实施例一
图1为本申请实施例提供的照片的批量处理方法一个实施例的方法流程图，该方法的执行主体可以为具有拍照功能的终端设备，如，手机、Pad等智能数码产品，也可以为集成在这些终端设备上的装置或芯片。如图1所示，该照片的批量处理方法包括如下步骤：
S110，对数张预设照片进行人脸识别学习，以获取特定人物元素，该预设照片含有同一个人物的脸部特征。
首先，选择数张含有某特定人物的清晰照片进行人脸识别学习，学习完成后，获取到该特定人物元素。
S120，根据特定人物元素对目标照片进行检索。
然后，根据获取到的特定人物元素对欲进行批量处理的目标照片进行检索。检索的结果为，将目标照片分为与特定人物元素匹配的照片，和与特定人物元素不匹配的照片。
S130，根据检索结果，将与特定人物元素匹配的照片存储到预设空间。
接着，将目标照片中与特定人物元素匹配的照片发送到预设空间进行存储。该预设空间与该特定人物元素相对应，专门用于存储含有 该特定人物元素的照片。
S140，根据预设空间的存储参数对存储于其中的照片进行批量处理。
与特定人物元素相对应的预设空间设有存储参数，根据特定人物元素的不同，存储参数也可以不同，则可以针对含有不同特定人物元素的照片进行不同的批量处理。
本申请实施例提供的照片的批量处理方法，通过采用人脸识别技术，根据获取到的特定人物元素自动对照片检索、匹配，将检索出的含有该特定人物元素的照片存储于与之对应的预设空间，针对不同的人物元素进行不同的批量处理，减少了大量的手动操作，实现了快速有效的照片批量处理。
实施例二
图2为本申请实施例提供的照片的批量处理方法另一个实施例的方法流程图。如图2所示，在上述实施例的基础上，本实施例提供的照片的批量处理方法可以进一步包括以下步骤：
S210，对数张预设照片进行人脸识别学习，以获取特定人物元素，该预设照片含有同一个人物的脸部特征。
在本申请实施例中，预设照片可以通过拍摄获取，或者从照片存储空间中直接选取。当用户想要对终端设备中存储的大量照片进行批量处理时，可以直接从存储空间中选取数张含有某特定人物的清晰照片作为预设照片进行人脸识别学习；当该特定人物在现场时，也可以直接为其拍照，获得数张清晰照片作为预设照片，从而减少了从照片存储空间选取照片的操作。
关于预设照片数量的选取，理论上照片数量越多，对该特定人物元素的学习越丰富，则后续检索的匹配度将会越高。但预设照片数量太多将会影响人脸识别过程的运算时间，从而影响整个照片批量处理程序的效率。因此，本申请实施例中较佳得的方案是采用5-10张预设照片，能够既保证在合理的时间内完成人脸识别过程，又保证后续检索具有较高的匹配度。
S220，为该特定人物元素分配预设空间。
S230，根据接收到的指令为该预设空间设置存储参数。
当获取到特定人物元素之后，可以为其分配相对应的预设空间，专门用于存储含有该特定人物元素的照片。然后，用户可以发出指令为该预设空间设置存储参数，该存储参数可以用于后续对存储于预设空间中的照片进行不同的批量处理。
进一步地，还可以对上述步骤S210至S230重复操作，分别为不同的特定人物获取各自的特定人物元素，分配各自的预设空间，设置各自的存储参数。各特定人物元素可以存储于人脸识别数据库中。
S240，根据特定人物元素对目标照片进行检索。
当用户想要对终端设备中存储的大量照片进行批量处理时，本步骤中的目标照片从照片存储空间直接获取。
如果用户已经根据上述步骤设置好每个特定人物元素的预设空间以及存储参数，则本步骤中的目标照片可以通过拍摄来获取，每当终端设备拍摄了新的照片，则获取该照片的原始YUV(现有的一种颜色编码方法)数据，针对YUV数据中识别出的人脸数据，与人脸识别数据库中的各特定人物元素进行匹配，当检索到照片与某特定人物元素相匹配时，将该照片进行JPEG(现有的一种压缩标准)压缩，然后存储到相应的空间，进行相应的处理。
S250，根据检索结果，将与特定人物元素匹配的照片存储到预设空间。
S260，根据存储参数的不同，对存储于预设空间的照片进行加密、隐藏或定向分享操作。
在本申请实施例中，可以为不同的预设空间设置不同的存储参数，以进行不同的操作。当预设空间中存储的照片涉及隐私时，可以设置与加密操作和/或隐藏操作对应的存储参数；当预设空间中存储的照片需要分享给某个人时，可以设置与定向分享操作对应的存储参数。用户还可以进入预设空间进行查看，当发现存储有误时，可以将错误照片设置为预设照片，重新进行人脸识别学习，以优化人脸识别 算法，进一步提高检索时的匹配度；同理，存储于常规的照片存储空间中的照片经过检索后，也可能由于识别错误而没有被存储到相应的预设空间，因此，用户也可以进入照片存储空间进行查看，当发现错误照片时，将其设置为预设照片，以重新进行人脸识别学习。
S270，将与特定人物元素不匹配的照片进行常规路径存储。
当拍摄到的照片与所有特定人物元素均不匹配，不属于任何特定人物时，直接进行常规路径存储于终端设备默认的照片存储空间。
当用户不需要使用上述照片的批量处理功能时，可以取消设置，终端设备将自动删除存储于人脸识别数据库中的特定人物元素，再次拍照时则不再进行自动检索。用户也可以手动刷新程序，对预设空间中的特定人物的照片进行存储位置的复位，恢复默认存储位置。
本申请实施例提供的照片的批量处理方法，通过采用人脸识别技术，根据特定人物元素自动对存储于终端设备中的照片或者直接拍摄获取的照片进行检索、匹配，将检索出的含有该特定人物元素的照片存储于与之对应的预设空间，针对不同的人物元素进行加密、隐藏或定向分享等操作，减少了大量的手动操作，实现了快速有效的照片批量处理。
实施例三
图3为本申请实施例提供的照片的批量处理装置一个实施例的结构示意图，可用于执行如图1所示的方法步骤。如图3所示，该装置可以包括：人脸识别模块310、检索模块320、存储模块330和批量处理模块340。
其中，人脸识别模块310用于对数张预设照片进行人脸识别学习，以获取特定人物元素，该预设照片含有同一个人物的脸部特征；检索模块320用于根据人脸识别模块310获取的特定人物元素对目标照片进行检索；存储模块330用于根据检索模块320的检索结果，将与特定人物元素匹配的照片存储到预设空间；批量处理模块340用于根据预设空间的存储参数对存储于其中的照片进行批量处理。
首先，人脸识别模块310对数张含有某特定人物的清晰照片进行 人脸识别学习，学习完成后，获取到该特定人物元素。然后，检索模块320根据人脸识别模块310获取到的特定人物元素对欲进行批量处理的目标照片进行检索。检索的结果为，将目标照片分为与特定人物元素匹配的照片，和与特定人物元素不匹配的照片。接着，存储模块330将目标照片中与特定人物元素匹配的照片发送到预设空间进行存储。该预设空间与该特定人物元素相对应，专门用于存储含有该特定人物元素的照片。与特定人物元素相对应的预设空间设有存储参数，根据特定人物元素的不同，存储参数也可以不同，批量处理模块340则可以针对含有不同特定人物元素的照片进行不同的批量处理。
本申请实施例提供的照片的批量处理装置，通过采用人脸识别技术，根据获取到的特定人物元素自动对照片检索、匹配，将检索出的含有该特定人物元素的照片存储于与之对应的预设空间，针对不同的人物元素进行不同的批量处理，减少了大量的手动操作，实现了快速有效的照片批量处理。
实施例四
图4为本申请实施例提供的照片的批量处理装置另一个实施例的结构示意图，可用于执行如图2所示的方法步骤。如图4所示，在上述图3所示实施例的基础上，本申请实施例提供的照片的批量处理装置还可以包括：分配模块350和设置模块360。
其中，分配模块350用于为人脸识别模块310获取的特定人物元素分配预设空间；设置模块360用于根据接收到的指令为预设空间设置存储参数。
当人脸识别模块310获取到特定人物元素之后，分配模块350可以为其分配相对应的预设空间，专门用于存储含有该特定人物元素的照片。然后，用户可以发出指令为该预设空间设置存储参数，设置模块360根据接收到的指令为预设空间设置存储参数，该存储参数可以用于后续对存储于预设空间中的照片进行不同的批量处理。
进一步地，批量处理模块340可以包括：加密单元341、隐藏单元342和定向分享单元343。
其中，加密单元341用于根据预设空间的存储参数，对存储于预设空间的照片进行加密操作；隐藏单元342用于根据预设空间的存储参数，对存储于预设空间的照片进行隐藏操作；定向分享单元343用于根据预设空间的存储参数，对存储于预设空间的照片进行定向分享操作。
在本申请实施例中，可以为不同的预设空间设置不同的存储参数，以进行不同的操作。当预设空间中存储的照片涉及隐私时，可以设置与加密操作和/或隐藏操作对应的存储参数；当预设空间中存储的照片需要分享给某个人时，可以设置与定向分享操作对应的存储参数。
更进一步地，本申请实施例提供的照片的批量处理装置还可以包括照片获取模块370，用于通过拍摄获取，或者从照片存储空间中直接选取预设照片。
当用户想要对终端设备中存储的大量照片进行批量处理时，照片获取模块370可以直接从存储空间中选取数张含有某特定人物的清晰照片作为预设照片进行人脸识别学习；当该特定人物在现场时，也可以直接为其拍照，照片获取模块370通过拍摄获得数张清晰照片作为预设照片，从而减少了从照片存储空间选取照片的操作。
关于预设照片数量的选取，理论上照片数量越多，对该特定人物元素的学习越丰富，则后续检索的匹配度将会越高。但预设照片数量太多将会影响人脸识别过程的运算时间，从而影响整个照片批量处理程序的效率。因此，本申请实施例中较佳得的方案是采用5-10张预设照片，能够既保证在合理的时间内完成人脸识别过程，又保证后续检索具有较高的匹配度。
另外，照片获取模块370还可以用于从预设空间或照片存储空间中获取错误照片作为预设照片。
用户可以进入预设空间进行查看，当发现存储有误时，照片获取模块370可以将预设空间中的错误照片设置为预设照片，人脸识别模块310重新进行人脸识别学习，以优化人脸识别算法，进一步提高检索时的匹配度；同理，存储于常规的照片存储空间中的照片经过检索 模块320检索后，也可能由于识别错误而没有被存储到相应的预设空间，因此，用户也可以进入照片存储空间进行查看，当发现错误照片时，获取模块370可以将照片存储空间中的错误照片设置为预设照片，以重新进行人脸识别学习。
照片获取模块370还可以用于通过拍摄获取，或者从照片存储空间中直接获取目标照片。
当用户想要对终端设备中存储的大量照片进行批量处理时，目标照片从照片存储空间直接获取。如果用户已经设置好每个特定人物元素的预设空间以及存储参数，则目标照片可以通过拍摄来获取，每当终端设备拍摄了新的照片，则照片获取模块370获取该照片的原始YUV(现有的一种颜色编码方法)数据，检索模块320针对YUV数据中识别出的人脸数据，与人脸识别数据库中的各特定人物元素进行匹配，当检索到照片与某特定人物元素相匹配时，存储模块330将该照片进行JPEG(现有的一种压缩标准)压缩，然后存储到相应的空间，批量处理模块340进行相应的处理。
再进一步地，存储模块330还可以用于将与特定人物元素不匹配的照片进行常规路径存储。
当拍摄到的照片与所有特定人物元素均不匹配，不属于任何特定人物时，直接进行常规路径存储于终端设备默认的照片存储空间。
当用户不需要使用上述照片的批量处理功能时，可以取消设置，终端设备将自动删除存储于人脸识别数据库中的特定人物元素，再次拍照时则不再进行自动检索。用户也可以手动刷新程序，对预设空间中的特定人物的照片进行存储位置的复位，恢复默认存储位置。
本申请实施例提供的照片的批量处理装置，通过采用人脸识别技术，根据特定人物元素自动对存储于终端设备中的照片或者直接拍摄获取的照片进行检索、匹配，将检索出的含有该特定人物元素的照片存储于与之对应的预设空间，针对不同的人物元素进行加密、隐藏或定向分享等操作，减少了大量的手动操作，实现了快速有效的照片批量处理。
实施例五
图5为本申请实施例提供的照片的批量处理装置的又一个实施例的结构示意图。如图5所示，本申请实施例的照片的批量处理装置包括：存储器61、一个或多个处理器62以及一个或多个程序63。
其中，所述一个或多个程序63在由一个或多个处理器62执行时执行上述实施例中的任意一种方法。
本申请实施例提供的照片的批量处理装置，通过采用人脸识别技术，根据获取到的特定人物元素自动对照片检索、匹配，减少了大量的手动操作，实现了快速有效的照片批量处理。
实施例六
图6为本申请实施例提供的用于照片的批量处理的计算机程序产品一个实施例的结构示意图。如图6所示，本申请实施例的用于照片的批量处理的计算机程序产品71，可以包括信号承载介质72。信号承载介质72可以包括一个或更多个指令73，该指令73在由例如处理器执行时，处理器可以提供以上针对图1-4描述的功能。例如，指令73可以包括：用于对数张预设照片进行人脸识别学习，以获取特定人物元素，所述预设照片含有同一个人物的脸部特征的一个或多个指令；用于根据所述特定人物元素对目标照片进行检索的一个或多个指令；用于根据检索结果，将与所述特定人物元素匹配的照片存储到预设空间的一个或多个指令；以及用于根据所述预设空间的存储参数对存储于其中的照片进行批量处理的一个或多个指令。因此，例如，参照图3，照片的批量处理装置可以响应于指令73来进行图1中所示的步骤中的一个或更多个。
在一些实现中，信号承载介质72可以包括计算机可读介质74，诸如但不限于硬盘驱动器、压缩盘(CD)、数字通用盘(DVD)、数字带、存储器等。在一些实现中，信号承载介质72可以包括可记录介质75，诸如但不限于存储器、读/写(R/W)CD、R/W DVD等。在一些实现中，信号承载介质72可以包括通信介质76，诸如但不限于数字和/或模拟通信介质(例如，光纤线缆、波导、有线通 信链路、无线通信链路等)。因此，例如，计算机程序产品71可以通过RF信号承载介质72传送给照片的批量处理装置的一个或多个模块，其中，信号承载介质72由无线通信介质(例如，符合IEEE 802.11标准的无线通信介质)传送。
本申请实施例的计算机程序产品，通过采用人脸识别技术，根据获取到的特定人物元素自动对照片检索、匹配，减少了大量的手动操作，实现了快速有效的照片批量处理。
通过以上的实施方式的描述，本领域的技术人员可以清楚地了解到各实施方式可借助软件加必需的通用硬件平台的方式来实现，当然也可以通过硬件。基于这样的理解，上述技术方案本质上或者说对现有技术做出贡献的部分可以以软件产品的形式体现出来，该计算机软件产品可以存储在计算机可读存储介质中，如ROM/RAM、磁碟、光盘等，包括若干指令用以使得一台计算机设备(可以是个人计算机，服务器，或者网络设备等)执行各个实施例或者实施例的某些部分所述的方法。
最后应说明的是：以上各实施例仅用以说明本申请的技术方案，而非对其限制；尽管参照前述各实施例对本申请进行了详细的说明，本领域的普通技术人员应当理解：其依然可以对前述各实施例所记载的技术方案进行修改，或者对其中部分或者全部技术特征进行等同替换；而这些修改或者替换，并不使相应技术方案的本质脱离本申请各实施例技术方案的范围。

Claims (14)

  1. 一种照片的批量处理方法，其特征在于，包括：
    对数张预设照片进行人脸识别学习，以获取特定人物元素，所述预设照片含有同一个人物的脸部特征；
    根据所述特定人物元素对目标照片进行检索；
    根据检索结果，将与所述特定人物元素匹配的照片存储到预设空间；
    根据所述预设空间的存储参数对存储于其中的照片进行批量处理。
  2. 根据权利要求1所述的照片的批量处理方法，其特征在于，在获取到所述特定人物元素之后，还包括：
    为所述特定人物元素分配所述预设空间；
    根据接收到的指令为所述预设空间设置存储参数。
  3. 根据权利要求2所述的照片的批量处理方法，其特征在于，所述根据所述预设空间的存储参数对存储于其中的照片进行批量处理，具体为：
    根据所述存储参数的不同，对存储于所述预设空间的照片进行加密、隐藏或定向分享操作。
  4. 根据权利要求1至3中任一权利要求所述的照片的批量处理方法，其特征在于，所述预设照片为5至10张，通过拍摄获取，或者从照片存储空间中直接选取。
  5. 根据权利要求4所述的照片的批量处理方法，其特征在于，将错误照片设置为所述预设照片。
  6. 根据权利要求5所述的照片的批量处理方法，其特征在于所述目标照片通过拍摄获取，或者从所述照片存储空间中直接获取。
  7. 根据权利要求1所述的照片的批量处理方法，其特征在于，还包括：
    将与所述特定人物元素不匹配的照片进行常规路径存储。
  8. 一种照片的批量处理装置，其特征在于，包括：
    人脸识别模块，用于对数张预设照片进行人脸识别学习，以获取特定人物元素，所述预设照片含有同一个人物的脸部特征；
    检索模块，用于根据所述人脸识别模块获取的所述特定人物元素对目标照片进行检索；
    存储模块，用于根据所述检索模块的检索结果，将与所述特定人物元素匹配的照片存储到预设空间；
    批量处理模块，用于根据所述预设空间的存储参数对存储于其中的照片进行批量处理。
  9. 根据权利要求8所述的照片的批量处理装置，其特征在于，还包括：
    分配模块，用于为所述人脸识别模块获取的所述特定人物元素分配所述预设空间；
    设置模块，用于根据接收到的指令为所述预设空间设置存储参数。
  10. 根据权利要求9所述的照片的批量处理装置，其特征在于，所述批量处理模块包括：
    加密单元，用于根据所述预设空间的存储参数，对存储于所述预设空间的照片进行加密操作；
    隐藏单元，用于根据所述预设空间的存储参数，对存储于所述预设空间的照片进行隐藏操作；
    定向分享单元，用于根据所述预设空间的存储参数，对存储于所述预设空间的照片进行定向分享操作。
  11. 根据权利要求8至10中任一权利要求所述的照片的批量处理装置，其特征在于，还包括照片获取模块，用于通过拍摄获取，或者从照片存储空间中直接选取5至10张所述预设照片。
  12. 根据权利要求11所述的照片的批量处理装置，其特征在于，所述照片获取模块还用于获取错误照片作为所述预设照片。
  13. 根据权利要求12所述的照片的批量处理装置，其特征在于，所述照片获取模块还用于通过拍摄获取，或者从所述照片存储空间中直接获取所述目标照片。
  14. 根据权利要求8所述的照片的批量处理装置，其特征在于，所述存储模块还用于将与所述特定人物元素不匹配的照片进行常规路径存储。
PCT/CN2016/089012 2015-12-31 2016-07-07 照片的批量处理方法及装置 Ceased WO2017113710A1 (zh)

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