CN103207870A - Method, server, device and system for photo sort management - Google Patents
Method, server, device and system for photo sort management Download PDFInfo
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- CN103207870A CN103207870A CN2012100138243A CN201210013824A CN103207870A CN 103207870 A CN103207870 A CN 103207870A CN 2012100138243 A CN2012100138243 A CN 2012100138243A CN 201210013824 A CN201210013824 A CN 201210013824A CN 103207870 A CN103207870 A CN 103207870A
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Abstract
The invention discloses a method, server, device and system for photo sort management, wherein the method comprises the steps of acquiring image content features of to-be-sorted photos, determining types of the to-be-sorted photos according to the image content features of the to-be-sorted photos, sending the determinined types of the to-be-sorted photos to a user terminal so as to enable the user terminal to manage the to-be-sorted photos according to the determined photo types. According to the invention, a user does not need to manually mark or sort the photos, thus realizing the automatic sorting operation on the image contents of the photos, better realizing the organizing and management on the photos according to the types of the image contents of the photos and greatly facilitating the user.
Description
Technical field
The present invention relates to the photo management field, relate in particular to a kind of photo classification management method, server, Apparatus and system.
Background technology
Along with the progress of science and technology and the raising of people's living standard, camera, the electronic equipment such as mobile phone, palm PC with camera function has been come into huge numbers of families.Increasing user hankers after taking pictures, and gets access to a large amount of photos.At present, the photo that obtains for taking pictures, the user can only carry out labeled bracketing to these photos by manual mode, to realize the management to these photos, for example: after the comparison film hand labeled, be stored under a certain sort file catalogue.It is cumbersome that prior art is carried out the operation of manual markings, and it is also more consuming time that the user carries out labeled bracketing to every photo taking, if do not carry out mark again well comparison film carry out Classification Management, this causes the user and uses burden.
Summary of the invention
Embodiment of the invention technical matters to be solved is, a kind of photo classification management method, server, Apparatus and system are provided, and can carry out Classification Management automatically to the photo that gets access to by modes such as shootings.
In order to solve the problems of the technologies described above, the embodiment of the invention provides a kind of photo classification management method, comprising:
Server obtains the image content features of photo to be sorted;
Described server is determined the photo classification of described photo to be sorted according to the image content features of described photo to be sorted;
The photo classification of the described photo to be sorted that described server will be determined sends to user terminal, so that user terminal carries out Classification Management according to described definite photo classification to described photo to be sorted.
Correspondingly, the embodiment of the invention also provides a kind of server, comprising:
Acquisition module is for the image content features of obtaining photo to be sorted;
Sort module, the image content features that is used for the photo to be sorted that gets access to according to described acquisition module is determined the classification of described photo to be sorted;
Communication module, the classification that is used for described photo to be sorted that described sort module is determined sends to user terminal, so that user terminal carries out Classification Management according to the classification of described definite photo to be sorted to described photo to be sorted.
Correspondingly, the embodiment of the invention also provides a kind of photo classification management devices, comprising:
The photo acquisition module is used for obtaining photo to be sorted;
Communication module sends to server for the photo to be sorted that described photo acquisition module is obtained or the thumbnail of described photo to be sorted, and is used for receiving the photo classification of the described photo of being determined by server to be sorted;
The Classification Management module for the photo classification of the photo to be sorted that receives according to described communication module, is carried out Classification Management to described photo to be sorted;
Wherein, described server is determined the photo classification of described photo to be sorted according to the image content features of obtaining described photo to be sorted.
Correspondingly, the embodiment of the invention also provides a kind of photo classification management system, comprising: photo classification management devices and server, wherein,
Described photo classification management devices is used for obtaining photo to be sorted, and the thumbnail of described photo to be sorted or described photo to be sorted is sent to described server;
Described server, be used for obtaining according to the thumbnail of described photo to be sorted or described photo to be sorted the image content features of photo to be sorted, determine the photo classification of described photo to be sorted according to the image content features of described photo to be sorted, and the photo classification of the described photo to be sorted that will determine sends to described photo classification management devices;
Described photo classification management devices also is used for receiving the photo classification of the described photo of being determined by server to be sorted, and according to the photo classification, described photo to be sorted is carried out Classification Management.
Implement the embodiment of the invention, have following beneficial effect:
The present invention can carry out the classification of Feature Recognition and comparison film by the photo that mode such as take pictures gets access to the user, make the user not need comparison film to carry out hand labeled or manual classification, realized the mechanized classification operation of comparison film content, realize coming according to the classification of the content of photo tissue and the Classification Management of comparison film preferably, be very easy to the user.
Description of drawings
In order to be illustrated more clearly in the embodiment of the invention or technical scheme of the prior art, to do to introduce simply to the accompanying drawing of required use in embodiment or the description of the Prior Art below, apparently, accompanying drawing in describing below only is some embodiments of the present invention, for those of ordinary skills, under the prerequisite of not paying creative work, can also obtain other accompanying drawing according to these accompanying drawings.
Fig. 1 is that the structure of the photo classification management system of the embodiment of the invention is formed synoptic diagram;
Fig. 2 is that the structure of the photo classification management devices among Fig. 1 is formed synoptic diagram;
Fig. 3 is that the structure of the server among Fig. 1 is formed synoptic diagram;
Fig. 4 is the first embodiment schematic flow sheet of photo classification management method of the present invention;
Fig. 5 is the second embodiment schematic flow sheet of photo classification management method of the present invention.
Embodiment
Below in conjunction with the accompanying drawing in the embodiment of the invention, the technical scheme in the embodiment of the invention is clearly and completely described, obviously, described embodiment only is the present invention's part embodiment, rather than whole embodiment.Based on the embodiment among the present invention, those of ordinary skills belong to the scope of protection of the invention not making the every other embodiment that obtains under the creative work prerequisite.
Seeing also Fig. 1, is that the structure of the photo classification management system of the embodiment of the invention is formed synoptic diagram, and in the present embodiment, described photo classification management system comprises: photo classification management devices 1 and server 2.Described photo classification management devices 1 can be connected by wired or wireless mode with described server 2, carries out the data transmission.
Described photo classification management devices 1 comprises user terminal, is used for obtaining photo to be sorted, and the thumbnail of described photo to be sorted or described photo to be sorted is sent to described server 2.
Described server 2 is used for obtaining according to the thumbnail of described photo to be sorted or described photo to be sorted the image content features of photo to be sorted, determine the photo classification of described photo to be sorted according to the image content features of described photo to be sorted, and the photo classification of the described photo to be sorted that will determine sends to described photo classification management devices 1.
Described photo classification management devices 1 also is used for receiving the photo classification of the described photo of being determined by server 2 to be sorted, and according to the photo classification described photo to be sorted is carried out Classification Management.
Described photo classification management devices 1 can be the camera with communication function, the mobile phone/computer with camera function, user by take pictures, copy, after mode such as transmission gets access to photo to be sorted, send described photo to be sorted by described photo classification management devices 1 to described server 2, perhaps only send the thumbnail of described photo to be sorted.
After described server 2 is determined the photo classification of described photo to be sorted, the photo classification of this photo to be sorted is sent to described photo classification management devices 1, managed by 1 pair of described photo to be sorted of this photo classification management devices, for example, described photo classification management devices 1 is according to the classification of this photo to be sorted, this photo storage to be sorted is arrived under the catalogue of respective classes, and classification shows.
In addition, described server 2 photo to be sorted is classified determine after, also this photo to be sorted and photo classification thereof can be sent in the picture server by described photo classification management devices 1 appointment, as send in the user picture space server of user's appointment, so that described user picture space server according to the photo classification with described photo storage to be sorted in respective memory, can (as the QQ space) shows according to the photo classification in this user's space at any time when the user needs as described in photo to be sorted.
Need to prove, described photo classification management devices 1 is after getting access to photo to be sorted, also can be carried out the Classification and Identification of photo as required by himself, and manage operation, it is the image content features that described photo classification management devices 1 obtains described photo to be sorted, determine the photo classification of described photo to be sorted according to the image content features of described photo to be sorted, and according to the photo classification, described photo to be sorted is carried out Classification Management.
Further, seeing also Fig. 2, is that the structure of the photo classification management devices 1 among Fig. 1 is formed synoptic diagram, and described photo classification management devices 1 can comprise: photo acquisition module 11, communication module 12 and Classification Management module 13.
Described photo acquisition module 11 is used for obtaining photo to be sorted.
Described photo acquisition module 11 can get access to photo by the mode of taking pictures, certainly, also can from other equipment, get access to photo by data transmission manner, described photo acquisition module 11 can also extract the thumbnail of described photo to be sorted as required after getting access to photo to be sorted.
Described communication module 12 sends to server 2 for the photo to be sorted that described photo acquisition module 11 is got access to or the thumbnail of described photo to be sorted, and is used for receiving the photo classification of the described photo of being determined by server 2 to be sorted.
Concrete, the send mode of described communication module 12 can be determined according to situation such as communication speed, traffic fee and needs by the user, for example: when communication carrier on the fast wireless network of cable network or WIFI uniform velocity, the user is not related to that the beam volume production is given birth to expense and when wishing all photos are in time managed, when getting access to photo to be sorted, be about to photo to be sorted and send to server 2; And when communication carrier on the general wireless network of speed, and the user pays close attention to that flow produces expense but when wishing the current shooting photo in time managed, can when getting access to photo to be sorted its thumbnail be sent to server 2; When the user only needs the part photo is managed, and the regulatory requirement promptness can adopt manual send mode when strong, after getting access to photo to be sorted, whether is uploaded to described server 2 by the manual decision of user.
Described communication module 12 is when sending described photo to be sorted or its thumbnail, also can send the name identification of this photo to be sorted, so that described server 2 returns name identification and the photo classification thereof of corresponding photo to be sorted, thereby make described photo classification management devices 1 to carry out Classification Management according to its photo classification to the corresponding photo to be sorted of name identification.Photo classification management devices 1 and server 2 carry the correspondence that name identification guarantees classification and photo to be sorted by message, thereby can support the concurrent request of many message.
Described Classification Management module 13, the photo classification for the photo to be sorted that receives according to described communication module 12 manages described photo to be sorted.Classification Management can comprise classification storage administration, classification display management etc.
Further, described communication module 12 also is used for sending the photo classification to described server request is set, so that described server 2 arranges the photo classification of asking to carry according to described photo classification the thumbnail of described photo to be sorted or described photo to be sorted is classified.
Concrete, when the user can send photo to be sorted or photo thumbnail to be sorted to server 2 by described communication module 12, send independent photo classification request is set, be used for the described server 2 of request and according to this independent photo classifications the photo classification that request carries be set the thumbnail of described photo to be sorted or photo to be sorted is classified;
Also can in the message that sends the thumbnail that carries photo to be sorted or photo to be sorted to described server 2, carry the photo classification request is set, to ask described server 2 according to described photo classification the photo classification of asking to carry to be set described photo to be sorted be classified.
Further, described photo classification management devices 1 can also comprise: extraction module 14.
Described extraction module 14 is used for that the photo to be sorted that described photo acquisition module 11 obtains is carried out people's face and detects, and extraction obtains facial image;
Described communication module 12 also is used for sending described facial image to described server 2, classifies for 2 pairs of these facial images of described server.
Concrete, when the user needs comparison film by people's face Cluster Classification, for example all photos of same individual are returned at a time-like, the user can detect operation by described extraction module 14 comparison film executor faces, extract the facial image in the photo, and send to described server 2 by described communication module 12.
In addition, described communication module 12 is when sending described facial image, also can send the recognition of face requests so that described server 2 extracts facial image feature in the described facial image according to this request to described server 2, and come described photo to be sorted is classified according to the facial image feature.The user can be in the message of carrying facial image that described communication module 12 sends to server 2, with field value indication recognition of face request concrete in this message; Also can send independent Indication message indication to server by communication module 12 and need carry out recognition of face to facial image.Make server 2 need carry out the identification of human face photo classification according to the user like this, and can not carry out other the identification as photo types such as indoor and outdoor.And for the recognition of face cluster server that is exclusively used in the identification of carrying out the human face photo classification, can not need assignor's face identification request in extra message.
Further, described communication module 12 is sending described photo to be sorted or its thumbnail, perhaps during facial image, also can send the name identification of this photo to be sorted simultaneously, make described server 2 return name identification and the classification of corresponding photo to be sorted, thereby make described Classification Management module 13 to manage according to its classification the corresponding photo to be sorted of name identification.Here carry the correspondence that name identification guarantees classification and photo to be sorted by message, thereby can support the concurrent classification request of many message.
Described Classification Management module 13 can be directly be put into described photo to be sorted in the group of photos of classification under it according to the photo classification and organizes and manages, comprise: according to described definite photo classification, described photo to be sorted is classified storage in order to classify demonstration, under this situation, described Classification Management module 13 can comprise a classification display unit, be used for according to described definite photo classification, to the demonstration of classifying of described photo to be sorted; Set up file (classification group) at mobile phone, photo hard copy or soft copy are put into the corresponding file folder down; Set up the logic association of classification group and photo, as: safeguard a document for the classification group, comprise that all belong to such other photo.
Also can further classification logotype be added on the photo as adding in the metadata, to guarantee the continuous and effective of classification results, even still can determine the photo classification of this photo after software reinstallation or the system's refitting according to the classification logotype of photo.In such cases, described Classification Management module 13 can comprise: indexing unit and administrative unit.
Described indexing unit is for the photo classification of the photo to be sorted that receives according to described communication module 12, for described photo to be sorted adds the classification logotype of this photo classification.
Described administrative unit is used for the photo described to be sorted that has added classification logotype is managed.
Further, described photo classification management devices 1 also can be used for showing photo according to the organization and management of described Classification Management module 13 comparison films.As: the user opens certain classification group corresponding file folder, then presents the thumbnail of the following photo of this document folder; And for example, the user chooses a certain classification, then reads its corresponding document, extracts its thumbnail according to the listed photo of document and shows.If classification logotype has been marked on the photo, the demand of the affiliated classification that described photo classification management devices 1 also can will be showed according to the user directly reads the classification logotype of photo, such other photo is found and shows photo.
Seeing also Fig. 3 again, is that the structure of the server 2 among Fig. 1 is formed synoptic diagram.Described server 2 specifically comprises: acquisition module 21, sort module 22 and communication module 23.
Described acquisition module 21 is for the image content features of obtaining photo to be sorted.
Described sort module 22, the image content features that is used for the photo to be sorted that gets access to according to described acquisition module 21 is determined the photo classification of described photo to be sorted.
Behind the thumbnail that gets access to photo to be sorted that described photo classification management devices 1 uploads or photo to be sorted by modes such as active request, passive receptions, described acquisition module 21 obtains the image content features of photo to be sorted according to the thumbnail of photo to be sorted or photo to be sorted.
Described acquisition module 21 can be according to image recognition technology, the photo to be sorted that receives or the thumbnail of photo to be sorted are carried out image recognition, read wherein image content information (main scape information and/or background information) as image content features or image content information (main scape information and/or background information) and metadata information as image content features.Classified by described sort module 22 then.For example, the head portrait feature that to identify the main scape information in the photo to be sorted be single or many people then can be defined as the personage according to classification; As the feature that to identify main scape information be the feature of a flower, then can be defined as plant according to classification; As to identify background information be outdoor feature, then is defined as outdoor according to classification; If identify the feature that background information is the sea, then be defined as the ocean according to classification.If identify the head portrait feature that comprises single or many people, and background information is marine features, then can be defined as ocean personage's classification.Concrete identification is to calculate by the similarity of photo to be sorted and photo classification.Described server 2 specifically can also can be carried by classified service device cloud (cloud that a plurality of classified service devices constitute) by single classified service device carrying, to guarantee to satisfy the classification demand of plurality of classes and the quick response of many classification requests.
Described communication module 23, the classification that is used for described photo to be sorted that described sort module 22 is determined sends to user terminal, so that user terminal manages described photo to be sorted according to the classification of described definite photo to be sorted.
Wherein, described user terminal is above-mentioned photo classification management devices 1, and described communication module 23 can send to described photo classification management devices 1 with the photo classification of described photo to be sorted by existing wired etc.
Further, see also Fig. 3, described server 2 also can comprise: module 24 is set.
The described module 24 that arranges, the photo that is used for the photo library that presets is stored carries out classification based training, obtains characteristics of image under one or more photo classification and this photo classification according to image content features.
Described server 2 carries out classification based training by the photo in the photo library that comprises a large amount of photos that the built-in or peripheral hardware of 24 pairs of modules is set, obtain the characteristics of image under one or more photo classifications and this photo classification and preserve according to image content features, finish the classification of photo to be sorted for described acquisition module 21 and sort module 22.
Concrete, as shown in Figure 3, described acquisition module 21 can comprise:
First receiving element 211 is for the thumbnail that receives described photo to be sorted or described photo to be sorted.
The first feature acquiring unit 212, image content features for the thumbnail that reads described photo to be sorted or described photo to be sorted, wherein, with image content information (main scape information and/or background information) or image content information (main scape information and/or background information) and the metadata information image content features as described photo to be sorted.
Concrete, as shown in Figure 3, described sort module 22 can comprise:
First computing unit is used for calculating the image content features of described photo to be sorted and the similarity of the characteristics of image under each photo classification; As based on the image similarity calculation method of piecemeal Optimum Matching (at first image is carried out piecemeal and handles, and utilize Optimum Matching under the prerequisite of coupling one to one, calculate the maximum similarity that whole piecemeals of two width of cloth images can reach).
First determining unit, be used for the image content features of the described photo to be sorted that calculates according to described first computing unit and the similarity of the characteristics of image under each photo classification, the highest and similarity is higher than the photo classification of threshold value as the photo classification of described photo to be sorted with similarity.
Further, as shown in Figure 3, described server 2 also can comprise:
Described 24 of the modules of arranging also are used in the judged result of described judge module 25 when supporting, for the user arranges the photo classification of asking so that described sort module 22 according to set photo classification to photo classification to be sorted; If judged result is collected the corresponding photo of photo classification of asking for not supporting, and the photo of collecting is carried out classification based training, obtain described mobile phone to the image content features of photo and create photo classification and the characteristics of image thereof of asking.
When described first receiving element 211 of described acquisition module 21 receives the thumbnail of described photo to be sorted or described photo to be sorted, the photo classification that described judge module 25 judges whether to receive with the thumbnail synchronized transmission of described photo to be sorted or described photo to be sorted simultaneously arranges request, if receive, described judge module 25 judges that whether preserving this photo classification in the described server 2 arranges the photo classification that request is carried, and the image content features of this photo classification correspondence, if exist, described 24 of the modules of arranging are directly for this user arranges the photo classification that it is asked, and with the photo classification of this setting photo classification as photo to be sorted; If do not exist, described 24 of the modules of arranging are to the corresponding photo training of photo classification of this request of collecting, create this photo classification photo classification and the image content features thereof that request is carried is set, determine the photo classification of photo to be sorted for described sort module 22.For example, when the customer requirements snow mountain shines classification, if judging by judge module 25, server 2 do not preserve snow mountain according to classification and image content features thereof, then can snow mountain etc. word search on the internet as key word, the picture that searches is deposited in the photo library, and by described the corresponding photo training of this photo classification classification of collecting in the module 24 contrast valuts is set, create this photo classification and characteristics of image thereof.
Concrete, identification for human face photo, the described module 24 that arranges of described server 2 can also be used for the photo that the photo library that presets is stored is carried out the detection of people's face, recognition of face, the training of people's face cluster, identify for the photo of the follow-up people of carrying out face classification according to face characteristic and facial image (preserve corresponding facial image, can be used for the face characteristic that follow-up new facial image according to this photo classification and the facial image before all upgrade this photo classification together) that the facial image feature obtains under one or more photo classification and this photo classification.
The user need carry out the branch time-like according to people's face, can send facial image by described photo classification management devices 1 to server 2 according to self needs and network request, and the acquisition module 21 of described server 2 can also comprise:
Second receiving element 213 is used for receiving facial image;
The second feature acquiring unit 214 be used for to extract the facial image feature of the facial image that described second receiving element 213 receives, and described facial image feature is designated as the image content features of described photo to be sorted; Wherein, described facial image is that 1 pair of described photo to be sorted of described photo classification management devices carries out the detection of people's face and extract obtaining by described user terminal.
Concrete, the user need carry out the branch time-like according to people's face, also can directly send photo to be sorted by described photo classification management devices 1 to server 2 according to self needs and network request, and described acquisition module 21 can also comprise:
The 3rd receiving element 215 is used for receiving photo to be sorted;
The 3rd feature acquiring unit 216 is used for that described photo to be sorted is carried out people's face and detects, and extracts facial image, and extracts the facial image feature in the facial image, described facial image feature is designated as the image content features of described photo to be sorted.
For obtaining of the image content features of the above-mentioned facial image that carries out, described sort module 22 specifically can comprise with lower unit carries out Classification and Identification:
The similarity of the face characteristic of each photo classification that second computing unit, facial image feature that be used for to calculate described photo to be sorted and local terminal are stored;
Second determining unit is used for the similarity that calculates according to described second computing unit, and photo kind judging similarity is the highest and that be higher than threshold value is the photo classification of described photo to be sorted;
Described 24 of the modules that arrange also are used for this facial image is associated with the photo classification that is judged to be described photo to be sorted, and upgrade the face characteristic of its related photo classification according to this facial image, if do not exist similarity to be higher than the photo classification of threshold value, the photo classification new according to this facial image feature-modeling also is associated with this photo classification with this facial image.
Wherein, described second computing unit 223 specifically is that the face characteristic in each photo classification of described facial image feature and local terminal storage is compared, calculate similarity, as: the method based on the human face similarity degree coupling of improving the Hausdorff distance (at first is divided into people's face several characteristic point sets such as shape of face, eyes, nose, mouth, calculate the improvement Hausdorff distance of each several part respectively, be weighted then and calculate similarity).If there is the facial image with the described facial image characteristic matching that receives, be that similarity is the highest and be higher than the photo classification of threshold value, then the photo classification at this facial image place is designated as the photo classification of described photo to be sorted, afterwards, upgrade the facial image feature of its related photo classification according to this facial image, the identification of convenient follow-up such other human face photo; If when not existing similarity to be higher than the photo classification of threshold value, then the described module 24 that arranges also is used for also this facial image being associated with this photo classification according to the new photo classification of this facial image feature-modeling.Specifically can regenerate whole facial image features of photo classification, also can upgrade groups of people's face characteristics of image according to the diversity factor that similarity is calculated.
Further, for the identification of above-mentioned human face photo, described server 2 can also comprise:
That is to say, when described notification module 26 is determined to receive described photo classification management devices 1 and has been sent photo to be sorted or facial image, when also receiving the recognition of face request of user's indication, determine that namely photo to be sorted or facial image that the user uploads this time need carry out the identification of people's face type, notify described acquisition module 21 to carry out the facial image feature extraction again, and make described sort module 22 carry out the discriminator operation of photo to be sorted or facial image.
In the specific implementation, described acquisition module 21 also can arrange the image content features that photo to be sorted is obtained in request to the photo classification of photo to be sorted according to the user.For example:
Which kind of photo classification the user, need classify to photo to be sorted, photo thumbnail to be sorted or facial image according to a certain field value indication server 2 in this message in the message of carrying photo to be sorted, photo thumbnail to be sorted or facial image by described photo classification management devices 1; Perhaps, the user is when the message of photo to be sorted, photo thumbnail to be sorted or facial image is carried in transmission, send an Indication message, and indication is classified according to indoor, landscape, classification such as single by people's face classification, indication in a certain field value of this Indication message, and described acquisition module 21 obtains image content features in photo to be sorted, thumbnail or the facial image to carry out follow-up judgement identification by corresponding unit or unit combination.
And for the recognition of face cluster server that is exclusively used in the identification of carrying out the human face photo classification, can not need assignor's face identification request in extra message.
Concrete, the first above-mentioned receiving element 211, second receiving element 213 and the 3rd receiving element 215 can realize that the described first feature acquiring unit 212, the second feature acquiring unit 213 and the 3rd feature acquiring unit 216 can be realized for a feature acquiring unit for a receiving element.
Description by above-described embodiment as can be known, embodiments of the invention have the following advantages:
Embodiments of the invention can carry out the identification of image content features and the classification of comparison film by the photo of taking pictures, mode such as transmission gets access to the user, make the user not need comparison film to carry out hand labeled or manual classification, realized the mechanized classification operation of comparison film picture material, realize coming according to the classification of the picture material of photo the organization and management of comparison film preferably, be very easy to the user.Particularly can realize the organization and management of comparison film automatically according to face characteristic, same people's photo is organized together, make things convenient for checking of photo that the user dresss up to same people's different time different location difference.Support the establishment of new photo classification and new person's face in addition, can expand effectively.
Below a kind of photo classification management method of the present invention is described in detail.
Seeing also Fig. 4, is the first embodiment schematic flow sheet of photo classification management method of the present invention, and in the present embodiment, described photo classification management method comprises:
S101: server obtains the image content features of photo to be sorted.
Server is behind the thumbnail that gets access to photo to be sorted that described photo classification management devices uploads or photo to be sorted by modes such as receptions, described S101 obtains the image content features of photo to be sorted according to the thumbnail of photo to be sorted or photo to be sorted.
Described S101 can be according to image recognition technology, the photo to be sorted that receives or the thumbnail of photo to be sorted are carried out image recognition, read wherein image content information (main scape information and/or background information) as image content features, or read wherein image content information (main scape information and/or do not advance information) and metadata information as image content features.
The user need carry out the branch time-like to particular photos such as shine as the personage, the photo classification management devices of user side can detect operation to particular photos executor face according to user's needs, extract the facial image in the photo, and send to described server, described S101 is the image content features of photo to be sorted with this facial image as the described particular photos that needs to classify, perhaps the photo classification management devices of user side also can be directly to server send need classification particular photos such as shine to server as the personage, carried out people's face Detection and Extraction facial image of photo by described server, and the facial image feature in the extraction photo, described S101 is the image content features of photo to be sorted with this facial image feature as the described particular photos that needs to classify.
S102: server is determined the photo classification of described photo to be sorted according to the image content features of described photo to be sorted.
Concrete, the head portrait feature that it is single or many people that described S102 identifies the main scape information in the photo to be sorted then can be defined as the personage according to classification; As the feature that to identify main scape information be the feature of a flower, then can be defined as plant according to classification; As to identify background information be outdoor feature, then is defined as outdoor according to classification; If identify the feature that background information is the sea, then be defined as the ocean according to classification.If identify the head portrait feature that comprises single or many people, and background information is marine features, then can be defined as ocean personage's classification.Concrete identification is to calculate by the similarity of photo to be sorted and photo classification.The server of classification specifically can also can be carried by classified service device cloud (cloud that a plurality of classified service devices constitute) by single classified service device carrying, to guarantee to satisfy the classification demand of plurality of classes and the quick response of many classification requests.
S103: the photo classification of the described photo to be sorted that server will be determined sends to user terminal.
Can carry out data transmission by existing communication network between user terminal and the server.
In addition, described server also can by S103 will this photo to be sorted and the photo classification send in the picture server by user's appointment, as send in the user picture space server of user's appointment, so that described user picture space server according to the photo classification with described photo storage to be sorted in respective memory, can (as the QQ space) shows according to the photo classification in this user's space at any time when the user needs as described in photo to be sorted.
S104: user terminal carries out Classification Management according to described definite photo classification to described photo to be sorted.Described S104 specifically comprises: described user terminal is according to described definite photo classification, to the demonstration of classifying of described photo to be sorted; Perhaps comprise: according to the described photo classification of determining the photo to be sorted that obtains, described user terminal is that described photo to be sorted adds such other classification logotype, and the photo described to be sorted that has added classification logotype is carried out Classification Management.
Described S104 can be directly be put into described photo to be sorted in the group of photos of classification under it according to the photo classification and organizes and manages, and comprising: set up file (classification group) at mobile phone, photo hard copy or soft copy are put into the corresponding file folder down; Set up the logic association of classification group and photo, as: safeguard a document for the classification group, comprise that all belong to such other photo.
Also can further the photo classification logotype (be added in the metadata) on photo, to guarantee the continuous and effective of classification results, even still can determine the photo classification of this photo after software reinstallation or the system's refitting according to the classification logotype of photo.
Further, described user terminal also can be showed photo by the organization and management of comparison film.As: the user opens certain classification group corresponding file folder, then presents the thumbnail of the following photo of this document folder; And for example, the user chooses a certain classification, then reads its corresponding document, extracts its thumbnail according to the listed photo of document and shows.If classification logotype has been marked on the photo, the demand of the affiliated classification that described user terminal also can will be showed according to the user directly reads the classification logotype of photo, such other photo is found and shows photo.
Description by above-described embodiment as can be known, embodiments of the invention have the following advantages:
Embodiments of the invention can carry out the identification of image content features and the classification of comparison film by the photo of taking pictures, mode such as transmission gets access to the user, make the user not need comparison film to carry out hand labeled or manual classification, realized the mechanized classification operation of comparison film picture material, realize coming according to the classification of the picture material of photo the organization and management of comparison film preferably, be very easy to the user.Particularly can realize the organization and management of comparison film automatically according to face characteristic, same people's photo is organized together, make things convenient for checking of photo that the user dresss up to same people's different time different location difference.Support the establishment of new photo classification and new person's face in addition, can expand effectively.
Seeing also Fig. 5 again, is the second embodiment schematic flow sheet of photo classification management method of the present invention, and the described method of present embodiment comprises:
S201: server carries out classification based training to the photo of storing in the photo library that presets, and determines photo classification and corresponding characteristics of image thereof.
Wherein, comprise the multiple pictures of collecting in the described photo library.Described server carries out classification based training by a large amount of photo of collecting in the S201 contrast valut, obtains characteristics of image under one or more photo classification and this photo classification according to image content features.
In addition, server carries out the detection of people's face, recognition of face, the training of people's face cluster to the photo of storing in the photo library that presets, obtain face characteristic and facial image (preserve corresponding facial image, can be used for the face characteristic that follow-up new facial image according to this photo classification and the facial images before all upgrade this photo classification together) under one or more photo classification and this photo classification according to the facial image feature of each photo.
S202: server obtains the image content features of photo to be sorted.
Concrete, described S202 can get access to the image content features of photo to be sorted in the following manner:
Mode one:
Described server receives the thumbnail of photo to be sorted or described photo to be sorted, and wherein, the thumbnail of described photo to be sorted is by the photo deriving means its photo that obtains to be carried out to obtain after thumbnail extracts operation;
Described server reads the image content features of the thumbnail of described photo to be sorted or described photo to be sorted, wherein, with image content information (main scape information and/or background information) or image content information (main scape information and/or background information) and the metadata information image content features as described photo to be sorted.
Mode two:
Described server receives facial image, extracts the facial image feature in the facial image, and described facial image feature is designated as the image content features of described photo to be sorted;
Wherein, described facial image is carried out the detection of people's face and extracts obtaining to described photo to be sorted by described user terminal.
Mode three:
Described server receives the photo to be sorted that is sent by described user terminal;
Described server carries out people's face Detection and Extraction facial image to described photo to be sorted, and extracts the facial image feature in the facial image, described facial image feature is designated as the image content features of described photo to be sorted.
Further, for common photo to be sorted or the thumbnail of photo to be sorted, before described S202, also comprise step:
Described server judges and receiving when user terminal sending the thumbnail of photo to be sorted or photo to be sorted, whether receives the user and about the photo classification of the thumbnail of the photo to be sorted of this transmission or photo to be sorted request is set.It can be an independent Indication message that this photo classification arranges request, also can be the content of certain the field indication in the message of the thumbnail that carries described photo to be sorted or photo to be sorted.
If described server receives the photo classification that user terminal sends request is set, judge further then whether local terminal is supported the identification of the photo classification of asking is determined;
If support, the photo classification that described server is asked for the user arranges, and carry out described S202;
If do not support, described server is collected the corresponding photo of photo classification of asking, and the photo of collecting carried out classification based training, obtain the image content features of the described photo of collecting, and create the photo classification of asking and the characteristics of image under this photo classification according to the image content features of the described photo of collecting.For example, when the customer requirements snow mountain shines classification, if server determines not preserve snow mountain according to classification and image content features thereof by judging, then can be by searching for as key word with words such as snow mountains, the picture that searches is deposited in the photo library, and carry out classification based training by the corresponding photo of collecting in the described S304 contrast valut of this photo classification classification, the image content features of the photo classification that obtains asking is also created this photo classification.
And for photo to be sorted or facial image that needs carry out recognition of face, before described S202, also comprise step:
Described server is judged receiving user terminal in transmission photo to be sorted or facial image, whether is received the recognition of face request that user terminal sends;
If then carry out described S202.
Specifically can request be set according to user's photo classification, select corresponding mode to carry out obtaining of image content features.Such as: user request to photo to be sorted by the classification of people's face, then extract the facial image feature, photo landscape to be sorted is classified in user's request, then extracts content in the background as image content features.
S203: server is determined the photo classification of described photo to be sorted according to the image content features of described photo to be sorted.
Concrete, for the image content features of obtaining in the mode one among the described S202, described S203 can pass through: calculate the image content features of described photo to be sorted and the similarity of the characteristics of image under each photo classification; According to the similarity that calculates, the highest and similarity is higher than the photo classification of threshold value as the photo classification of described photo to be sorted with similarity
For the image content features of obtaining in mode two among the described S202 or the mode three, described S203 will calculate the similarity of the face characteristic in each photo classification of the facial image feature of described photo to be sorted and local terminal storage; Photo kind judging similarity is the highest and that be higher than threshold value is the photo classification of described photo to be sorted, and this facial image is associated with the photo classification that this has been judged to be described photo to be sorted, and upgrade the facial image feature of its related photo classification according to this facial image; If do not exist similarity to be higher than the photo classification of threshold value, described server also is associated with this photo classification with this facial image according to the new photo classification of this facial image feature-modeling.
S204: the photo classification of the described photo to be sorted that server will be determined sends to user terminal.
S205: described user terminal carries out Classification Management according to described definite photo classification to described photo to be sorted.
Specifically can comprise: described user terminal is according to described definite photo classification, to the demonstration of classifying of described photo to be sorted.Perhaps can comprise: user terminal is according to the described photo classification of determining the photo to be sorted that obtains, for described photo to be sorted adds such other classification logotype, specifically classification logotype can be marked on the photo, for example: add in the metadata, to guarantee the continuous and effective of classification results, even still can determine the photo classification of this photo after software reinstallation or the system's refitting according to the classification logotype of photo.Then the photo described to be sorted that has added classification logotype is carried out Classification Management, specifically can be directly described photo to be sorted be put in the group of photos of classification under it according to the photo classification and organizes and manages, comprise: set up file (classification group) at mobile phone, photo hard copy or soft copy are put into the corresponding file folder down; Set up the logic association of classification group and photo, as: safeguard a document for the classification group, comprise that all belong to such other photo.
Description by above-described embodiment as can be known, embodiments of the invention have the following advantages:
Embodiments of the invention can carry out the identification of image content features and the classification of comparison film by the photo of taking pictures, mode such as transmission gets access to the user, make the user not need comparison film to carry out hand labeled or manual classification, realized the mechanized classification operation of comparison film picture material, realize coming according to the classification of the picture material of photo the organization and management of comparison film preferably, be very easy to the user.Particularly can realize the organization and management of comparison film automatically according to face characteristic, same people's photo is organized together, make things convenient for checking of photo that the user dresss up to same people's different time different location difference.Support the establishment of new photo classification and new person's face in addition, can expand effectively.
One of ordinary skill in the art will appreciate that all or part of flow process that realizes in above-described embodiment method, be to instruct relevant hardware to finish by computer program, described program can be stored in the computer read/write memory medium, this program can comprise the flow process as the embodiment of above-mentioned each side method when carrying out.Wherein, described storage medium can be magnetic disc, CD, read-only storage memory body (Read-Only Memory, ROM) or at random store memory body (Random Access Memory, RAM) etc.
Above disclosed is preferred embodiment of the present invention only, can not limit the present invention's interest field certainly with this, and therefore the equivalent variations of doing according to claim of the present invention still belongs to the scope that the present invention is contained.
Claims (26)
1. a photo classification management method is characterized in that, comprising:
Server obtains the image content features of photo to be sorted;
Described server is determined the photo classification of described photo to be sorted according to the image content features of described photo to be sorted;
The photo classification of the described photo to be sorted that described server will be determined sends to user terminal, so that user terminal manages described photo to be sorted according to described definite photo classification.
2. the method for claim 1 is characterized in that, described server obtains before the step of image content features of photo to be sorted, also comprises:
Described server carries out classification based training to the photo of storing in the photo library that presets, and obtains characteristics of image under one or more photo classification and this photo classification according to the image content features of each photo.
3. method as claimed in claim 2 is characterized in that, described server obtains the step of the image content features of photo to be sorted, comprising:
Described server receives the thumbnail of photo to be sorted or described photo to be sorted;
Described server reads the content metadata information of image content information and/or the described photo to be sorted of described photo to be sorted, and with described image content information, and/or content metadata information is as the image content features of described photo to be sorted,
Perhaps read image content information in the thumbnail of described photo to be sorted and/or the content metadata information of described photo to be sorted, with described image content information, and/or described content metadata information is as the image content features of described photo to be sorted.
4. as each described method of claim 1 to 3, it is characterized in that described server is determined specifically to comprise the step of the photo classification of described photo to be sorted according to the image content features of described photo to be sorted:
Described server calculates the image content features of described photo to be sorted and the similarity of the characteristics of image under each photo classification;
According to the similarity that calculates, that similarity is the highest and be higher than the photo classification of threshold value as the photo classification of described photo to be sorted.
5. method as claimed in claim 4 is characterized in that, also comprises:
Receive the photo classification that user terminal sends request is set, judge whether local terminal is supported the identification of the photo classification of asking definite;
If support, the photo classification that described server is asked for the user arranges is so that the set photo classification of described server foundation is to photo classification to be sorted;
If do not support, described server is collected the corresponding photo of photo classification of asking, and the photo of collecting carried out classification based training, obtain the image content features of the described photo of collecting, and create the photo classification of asking and the characteristics of image under this photo classification according to the image content features of the described photo of collecting.
6. the method for claim 1 is characterized in that, described server obtains before the step of image content features of photo to be sorted, also comprises:
Described server carries out the detection of people's face, recognition of face, the training of people's face cluster to the photo of storing in the photo library that presets, and obtains face characteristic under one or more photo classification and this photo classification according to the facial image feature of each photo.
7. method as claimed in claim 6 is characterized in that, described server obtains the step of the image content features of photo to be sorted, comprising:
Described server receives facial image, extracts the facial image feature in the facial image, and described facial image feature is designated as the image content features of described photo to be sorted;
Wherein, described facial image is carried out the detection of people's face and extracts obtaining to described photo to be sorted by described user terminal.
8. method as claimed in claim 6 is characterized in that, described server obtains the step of the image content features of photo to be sorted, comprising:
Described server receives photo to be sorted;
Described server carries out people's face to described photo to be sorted and detects, and extracts facial image, and extracts the facial image feature in the facial image, described facial image feature is designated as the image content features of described photo to be sorted.
9. as each described method of claim 6 to 8, it is characterized in that described server determines that according to the image content features of described photo to be sorted the step of the photo classification of described photo to be sorted comprises:
Described server calculates the similarity of the face characteristic in each photo classification of the facial image feature of described photo to be sorted and local terminal storage;
Photo kind judging similarity is the highest and that be higher than threshold value is the photo classification of described photo to be sorted, and this facial image is associated with the photo classification that this has been judged to be described photo to be sorted, and upgrade the face characteristic of its related photo classification according to this facial image;
If do not exist similarity to be higher than the photo classification of threshold value, described server also is associated with this photo classification with this facial image according to the new photo classification of this facial image feature-modeling.
10. method as claimed in claim 9, it is characterized in that, described server is when receiving the recognition of face request that described user terminal sends, and carries out the facial image feature of extracting in the facial image, described photo to be sorted is classified coming according to the facial image feature.
11., it is characterized in that described user terminal is according to described definite photo classification as each described method of claim 1 to 10, the step that described photo to be sorted is managed comprises:
Described user terminal is according to described definite photo classification, to the demonstration of classifying of described photo to be sorted;
And/or
According to the described photo classification of determining the photo to be sorted that obtains, described user terminal is that described photo to be sorted adds such other classification logotype, and the photo described to be sorted that has added classification logotype is managed.
12. a server is characterized in that, comprising:
Acquisition module is for the image content features of obtaining photo to be sorted;
Sort module, the image content features that is used for the photo to be sorted that gets access to according to described acquisition module is determined the classification of described photo to be sorted;
Communication module, the classification that is used for described photo to be sorted that described sort module is determined sends to user terminal, so that user terminal carries out Classification Management according to the classification of described definite photo to be sorted to described photo to be sorted.
13. server as claimed in claim 12 is characterized in that, also comprises:
Module is set, and the photo that is used for the photo library that presets is stored carries out classification based training, obtains characteristics of image under one or more photo classification and this photo classification according to the image content features of each photo.
14. server as claimed in claim 13 is characterized in that, described acquisition module comprises:
First receiving element is for the thumbnail that receives described photo to be sorted or described photo to be sorted;
The first feature acquiring unit, content metadata information for the image content information and/or the described photo to be sorted that read described photo to be sorted, with described image content information, and/or content metadata information is as the image content features of described photo to be sorted, perhaps for the image content information of the thumbnail that reads described photo to be sorted and/or the content metadata information of described photo to be sorted, with described image content information, and/or described content metadata information is as the image content features of described photo to be sorted.
15. as each described server of claim 12 to 14, it is characterized in that described sort module comprises:
First computing unit is used for calculating the image content features of described photo to be sorted and the similarity of the characteristics of image under each photo classification;
First determining unit, be used for the image content features of the described photo to be sorted that calculates according to described first computing unit and the similarity of the characteristics of image under each photo classification, the highest and similarity is higher than the photo classification of threshold value as the photo classification of described photo to be sorted with similarity.
16. server as claimed in claim 15 is characterized in that, also comprises:
Judge module is used for judging whether local terminal supports the identification to the photo classification of asking when the photo classification that receives the user terminal transmission arranges request;
The described module that arranges also is used in the judged result of described judge module when supporting, for the user arranges the photo classification of asking so that described sort module according to set photo classification to photo classification to be sorted; If judged result is not for supporting, collect the corresponding photo of photo classification of asking, and the photo of collecting carried out classification based training, obtain the image content features of the described photo of collecting, and create the photo classification of asking and the characteristics of image under this photo classification according to the image content features of the described photo of collecting.
17. server as claimed in claim 12 is characterized in that,
The described module that arranges also is used for the photo that the photo library that presets is stored is carried out the detection of people's face, recognition of face, the training of people's face cluster, obtains face characteristic under one or more photo classification and this photo classification according to the facial image feature of each photo.
18. server as claimed in claim 17 is characterized in that, described acquisition module comprises:
Second receiving element is used for receiving facial image;
The second feature acquiring unit be used for to extract the facial image feature of the facial image that described second receiving element receives, and described facial image feature is designated as the image content features of described photo to be sorted;
Wherein, described facial image is carried out the detection of people's face and extracts obtaining to described photo to be sorted by described user terminal.
19. server as claimed in claim 17 is characterized in that, described acquisition module comprises:
The 3rd receiving element is used for receiving photo to be sorted;
The 3rd feature acquiring unit is used for that described photo to be sorted is carried out people's face and detects, and extracts facial image, and extracts the facial image feature in the facial image, described facial image feature is designated as the image content features of described photo to be sorted.
20. as each described server of claim 17 to 19, it is characterized in that described sort module comprises:
The similarity of the face characteristic of each photo classification that second computing unit, facial image feature that be used for to calculate described photo to be sorted and local terminal are stored;
Second determining unit is used for the similarity that calculates according to described second computing unit, and photo kind judging similarity is the highest and that be higher than threshold value is the photo classification of described photo to be sorted;
The described module that arranges also is used for this facial image is associated with the photo classification that is judged to be described photo to be sorted, and upgrade the face characteristic of its related photo classification according to this facial image, if do not exist similarity to be higher than the photo classification of threshold value, the photo classification new according to this facial image feature-modeling also is associated with this photo classification with this facial image.
21. server as claimed in claim 20 is characterized in that, described acquisition module also comprises:
Notification module is used for when receiving the recognition of face request of described user terminal transmission, notifies the facial image feature in the described acquisition module extraction facial image, so that described sort module is come described photo to be sorted is classified according to the facial image feature.
22. a photo classification management devices is characterized in that, comprising:
The photo acquisition module is used for obtaining photo to be sorted;
Communication module sends to server for the photo to be sorted that described photo acquisition module is obtained or the thumbnail of described photo to be sorted, and is used for receiving the photo classification of the described photo of being determined by server to be sorted;
The Classification Management module for the photo classification of the photo to be sorted that receives according to described communication module, is carried out Classification Management to described photo to be sorted;
Wherein, described server is determined the photo classification of described photo to be sorted according to the image content features of the described photo to be sorted that gets access to.
23. photo classification management devices as claimed in claim 22 is characterized in that, also comprises:
Extraction module is used for that the photo to be sorted that described photo acquisition module obtains is carried out people's face and detects, and extraction obtains facial image;
Described communication module also is used for sending described facial image to described server.
24. photo classification management devices as claimed in claim 23 is characterized in that,
Described communication module also is used for sending the photo classification to described server request is set, so that described server arranges the photo classification of asking to carry according to described photo classification the thumbnail of described photo to be sorted or described photo to be sorted is classified; Perhaps, also be used for sending the recognition of face request so that described server extracts the facial image feature of facial image to described server, described photo to be sorted or facial image classified coming according to the facial image feature.
25. as each described photo classification management devices of claim 22 to 24, it is characterized in that described Classification Management module comprises:
The classification display unit is used for according to described definite photo classification, to the demonstration of classifying of described photo to be sorted;
And/or:
Indexing unit is for the photo classification of the photo to be sorted that receives according to described communication module, for described photo to be sorted adds the classification logotype of this photo classification;
Administrative unit is used for the photo described to be sorted that has added classification logotype is carried out Classification Management.
26. a photo classification management system is characterized in that, comprising: photo classification management devices and server, wherein,
Described photo classification management devices is used for obtaining photo to be sorted, and the thumbnail of described photo to be sorted or described photo to be sorted is sent to described server;
Described server, be used for obtaining according to the thumbnail of described photo to be sorted or described photo to be sorted the image content features of photo to be sorted, determine the photo classification of described photo to be sorted according to the image content features of described photo to be sorted, and the photo classification of the described photo to be sorted that will determine sends to described photo classification management devices;
Described photo classification management devices also is used for receiving the photo classification of the described photo of being determined by server to be sorted, and according to the photo classification described photo to be sorted is carried out Classification Management.
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