KR20110139441A

KR20110139441A - Method for sharing image contents using network

Info

Publication number: KR20110139441A
Application number: KR1020100059541A
Authority: KR
Inventors: 유종하
Original assignee: (주) 오아이씨랭귀지비쥬얼
Priority date: 2010-06-23
Filing date: 2010-06-23
Publication date: 2011-12-29

Abstract

PURPOSE: An image content sharing method using a network is provided to enable each user to selectively share images by selecting importance according to a predetermined parameter about the captured images. CONSTITUTION: Image content including one or more objects is uploaded at an image content system(S100). One or more objects included in the uploaded image content are distinguished and extracted(S200). The extracted one or more objects are selected to a sharer about the image content(S300). The sharer is allowed to access the image content(S400).

Description

How to share image content over the network {METHOD FOR SHARING IMAGE CONTENTS USING NETWORK}

The present invention relates to image content sharing, and more particularly, the present invention relates to recognizing a human object included in an image content, that is, a person, and then setting a human object, that is, a person identified among the recognized persons, as a sharer. A method of facilitating sharing of image content among a plurality of methods is provided.

The popular use of digital cameras has resulted in individuals possessing many digital images. In particular, a large number of photographs are owned after an event in which a lot of photographs are taken, such as travel, and a large number of photographs cause problems that make it difficult for a user to organize and share. Due to digital convergence, digital cameras are embedded in other digital devices such as mobile phones, which is further accelerating.

Users want to own the digital images they are photographed, but it is not easy for the owner of the digital camera, that is, the photographer who created the digital images, to classify and share the photos according to the photographed person.

In other words, the digital camera owner (photographer) can be divided into two ways to share the picture to the people taken.

In the first method, the owner of the digital camera checks the photographed images one by one, identifies and photographs the captured persons by image, and then collects and classifies the images captured by the respective persons, and classifies them by e-mail or mobile phone. There is a way to transfer the images.

In the second method, the owner of the digital camera uploads the photographs taken on the web board or the homepage of the cafe in a batch, and notifies the photographed people. How to download it yourself.

However, in the first method, the photographer must check the photographs taken one by one, identify and classify the photographed people, sort them by person, and know in advance the e-mail or mobile phone information of the photographed people. It is cumbersome to attach files by person and send them by email or mobile phone.

In the second method, the photographer has to upload the image files photographed on the bulletin board or the homepage in a batch so that the troublesomeness is reduced compared to the first method, but it is also a problem because it is only passed on to the photographed person. . That is, the photographed people should access the bulletin board or homepage on the web to check all the photographed pictures and then perform the task of classifying the photographed pictures.

That is, both of the above methods have a problem that there is an obstacle to sharing the photographs taken from the point of view of the photographer and the photographed people, which means that the photographer owns a large number of images that are difficult to shoot at various events. Sharing with the people who take pictures is becoming a factor.

The present invention is proposed to solve the above-mentioned problems of the prior art, and to provide a method for easily and effectively sharing a plurality of digital images photographed by a specific photographer to photographed people.

In particular, it is an object of the present invention to provide an effective way to share a digital image by designating a person photographed for each digital image as a sharer.

In order to solve the above problems, an image content sharing method using an image content sharing system provided on the present network is proposed.

The image content sharing method according to the present invention comprises the steps of (A) uploading image content including one or more human objects to the image content system via the network (S 100), and (B) including the uploaded image content. A human object analysis step of identifying and extracting one or more human objects (S 200), (C) designating the one or more human objects extracted from the image content as a sharer for the image content (S 300); And (D) a sharing step (S 400) to allow a human object designated as the sharer to access the image content via the network.

On the other hand, preferably in the step (B), (B-1) setting the importance of the image content for each of the extracted human objects based on the one or more priority parameters set priority (S 260 ~ S 290) It can be configured to further include.

In this case, the importance parameter may be variously set, but preferably the number of the human objects included in the image content or the relative size of the human objects.

In addition, in step (A), when the additional information related to the image content exists, the additional information may be uploaded together.

In this case, the additional information may include information of a human object uploading the image content, that is, information of an uploader, and the human object (uploader) uploading the image content in the step (C) may also be included. The extracted human object extracted from the image content may be designated as a sharer for the image content.

In addition, according to the preferred embodiment, the sharing scheme can be variously set.

That is, in step (D), if there is e-mail address information about the human object designated as the sharer, the image object designated as the sharer is assigned to the image object designated as the sharer regardless of whether or not the human object designated as the sharer is accessed. It can also be emailed to a human object designated as the sharer.

In addition, according to a preferred embodiment, it may be configured to automatically extract and display one or more image contents designated as the sharer to the human object accessed in the step (D).

According to the present invention, the system automatically sorts the pictures by the shot person and then transfers the pictures to each shot person by simply uploading the taken picture to the system. Do it.

That is, both the photographer (uploader) and the photographed person (shareer) are automatically detected by the system because detection of the captured person through photo analysis, designation of the detected person as a sharer, and sharing operation for the designated sharer are automatically performed by the system. You can eliminate the hassle of.

In addition, the sharing method can be applied in two ways, e-mailing or direct download, and it can be selected by the photographer (uploader) and the photographed person (shareer) in the desired manner to convey the convenience of sharing the photo and the sharing to the sharer. The chances are even higher.

In addition, according to the present invention, instead of merely detecting a person photographed in each picture, it is possible to set the importance level according to a predetermined parameter (number of people photographed, relative size) for a picture taken based on a specific person. Each user may be able to selectively share only the pictures of which the importance is high among the taken pictures.

1 is a block diagram of a content image sharing system 1000 according to the present invention.
2 is a diagram illustrating an example of a photo and additional information uploaded to the photo collection unit 100.
3 is a diagram illustrating an example of data stored in a photo analysis DB 240 of the photo analysis unit 200.
4 is a diagram illustrating an example of a manual sharing designator setting screen;
5 is a diagram illustrating an example of a UI screen of a digital content sharing system.
6 is a diagram illustrating an example of an importance parameter and an importance setting screen of the importance setting module 230.
7 is a flowchart illustrating a process of an image content sharing method according to the present invention.

Hereinafter, preferred embodiments of the present invention will be described with reference to the accompanying drawings.

In the following description, 'photo' or 'image content' means various digital image files generated by using various digital imaging devices such as a digital camera, and a specific extension (eg, jpg, tif, bmp, etc.).

In addition, in the following description, "person" or "personal object" refers to a person who is a subject or object (a subject) of a photograph or image content.

1 is a block diagram of an image content sharing system 1000 for practicing the present invention.

As illustrated, the image content sharing system 1000 may be connected to various user terminals 510, 520, and 530 through a network 400.

The network 400 may include one or more local area network (LAN), wide area network (WAN), telephony networks such as public switched telephone networks (PSTN), intranets, the Internet, and / or other types of networks. It may include a network.

The user terminals 510, 520, and 530 may access the network 400 through a wireless, wired, or optical connection or other connection, such as a mobile terminal 510, a PC 520, an IPTV set-top box, and a TV receiver 530. It includes all the various terminals that can be.

The image content sharing system 1000 includes a photo collecting unit 100, a photo analyzing unit 200, and a photo sharing unit 300.

The photo collection unit 100 collects uploaded photos from various user terminals 510, 520, and 530 connected through the network 400, and includes a photo upload module 110, an additional information input module 120, and a photo DB. 130 and the additional information DB 140.

The picture upload module 110 checks whether the picture is a valid image file when the picture is uploaded from the connected user terminals 510, 520, and 530, and stores it in the picture DB 130 when it is confirmed as a valid image file.

The additional information input module 120 asks whether the user terminal 510, 520, 530 also uploads additional information (uploader, shooting date, theme, location, etc.) when uploading a photo, and then additional information. If also uploaded together and stores it in the additional information DB (140).

The photo DB 130 stores a photo uploaded from the user terminals 510, 520, and 530. FIG. 2A illustrates an example of a photo stored in the photo DB 130.

The additional information DB 140 stores additional information by matching the uploaded photo file when the additional information is uploaded together with the additional information. 2B illustrates an example of additional information stored in the additional information DB 140. As shown, the additional information may be a person (uploader) who uploaded a picture, a shooting date and time, a theme, a shooting location, and the like, and various additional information may be input.

The photo analyzing unit 200 detects a person photographed for each picture uploaded to the photo collecting unit 100, and detects a person information detection module 210, an additional information detecting module 220, an importance setting module 230, and a picture analysis. It is composed of a data DB (240).

The person information detection module 210 reads a picture uploaded to the picture DB 130 to identify and detect a person photographed for each picture, and generates picture analysis data by synthesizing the detected person information for each picture.

For example, in FIG. 2A, A, A, AB, AB, and ABCD will be detected as person information for each picture in each picture file 1, 2, 3, 4, and 5.

The method of face detection can be performed in a variety of ways, but may be performed by a so-called 'face to face matching' method, in which a face database in which representative pictures of representative users are stored and a face detected in the picture are compared with each other.

Face-to-face matching may be performed by a face-based face recognition method such as principal component analysis (PCA), independent component analysis (ICA), linear discriminant analysis (LDA), or the like. . Local feature based face matching algorithms such as Elastic Bunch Graph Matching (EBGM), etc. may also be used or alternatively. According to one embodiment, similarity thresholds associated with the matching process may be changed to indicate how similar the faces should be before a match is identified.

In order to increase the accuracy of face-to-face matching, it is required to secure a large amount of pictures for each user (for example, first to nth face images) for each possible user. Among them, a photo representing the characteristics of the user most effectively may be designated as the representative face image.

The face detection method is not limited to the above method and may be performed according to various other methods.

The additional information detection module 230 checks whether there is additional information (uploader, shooting date / time, theme, shooting location, etc.) for each picture from the additional information DB 140, and then adds the additional information from each picture if the additional information exists. Extract the information. Then, the image analysis data is generated by synthesizing up to additional information to the detected person information for each picture generated by the person information detection module 210, and then storing the picture analysis data in the picture analysis data DB 240.

Meanwhile, according to a preferred embodiment, the photo analyzer 200 may further include an importance setting module 230. The importance setting module 230 automatically sets the importance according to a predetermined importance parameter (reference) when there are a plurality of pictures in which a specific person is photographed.

FIG. 6A illustrates an example of a parameter for setting importance in the importance setting module 230. The priority parameter is preferably set in priority. In the illustrated example, the number of persons is the first rank parameter, and the relative size of the person detected in the picture is designated as the second rank parameter.

FIG. 6B illustrates an example in which the importance level is set for the photo files of FIG. 2A based on the importance parameter of FIG. 6A for the person 'A'.

As shown, based on the person 'A', it can be seen that the photo file 1 having the smallest priority parameter 'number of people' and the second priority 'relative size' has the highest priority. . On the contrary, based on the character 'A', photo file 5, which has the largest number of people and the smallest relative size, is rated as the least important.

In addition, as shown, the importance may be indicated by a predetermined number of symbols, for example, an asterisk (*), so that identification may be facilitated.

In addition, the system may automatically change the importance set by the importance parameter according to the user's taste and preference.

Next, the photo sharing unit 300 includes a sharer setting module 310, a photo sharing UI providing unit 320, an email transmission unit 330, a sharing information DB 340, and a user information DB 350.

The sharer setting module 310 sets a sharer for each picture based on the picture analysis data generated by the picture analyzing unit 200, that is, the person information detected for each picture or various additional information (such as an uploader) and shares it. The information is generated and stored in the shared information DB 340.

3 illustrates an example of sharing information generated by the sharer setting module 310. In the illustrated example, the person (A, A, AB, AB, ABCD) detected for each photo file (1, 2, 3, 4, 5) and the uploader (A, B, B, The sharers A, AB, AB, ABC, ABCD are set based on C, D). In the embodiment of FIG. 3, not only the captured person but also the uploader who uploaded the picture is included as a sharer. However, the method of setting the sharer is not limited thereto and may set only the person who is photographed in each picture as the sharer without including the uploader. have.

Meanwhile, according to a preferred embodiment as shown, the sharing information may be displayed with the importance set by the importance setting module 230 for each specific person (eg, person 'A'). Importance can be intuitively facilitated by indicating the importance by the number of predetermined symbols, for example, an asterisk (*).

On the other hand, as shown in Figure 4, the sharer information automatically set by the system can be added or deleted by the user. The right to change the sharer setting is preferably given to each photographer, but may be given to a person (photographed person) who is photographed.

That is, when A, B, and C are detected as the person information in the photograph of the person A, B, and C photographed as shown in FIG. 4A, some persons B and C whose size or image quality are not appropriate ) Can also be removed from the list of sharers.

In addition, as shown in (b) and (c) of FIG. 4, although the person actually photographed is A, B, or C, the person is detected by the person information detection module 210 of the photo analyzer 200. If B and C) are not detected, the user may add a person B to be added later as a sharer.

Referring back to FIG. 1, the photo sharing UI providing unit 320 provides a user interface for sharing a picture to each user connected through the user terminals 510, 520, and 530 to share the uploaded picture. To provide.

The e-mail transmitting unit 330 sends e-mail the pictures taken by the sharer to each sharer. To this end, it is preferable that e-mail information for each user is stored in the user information DB 350.

5 illustrates an example of a user interface provided by the photo sharing UI providing unit 320.

As shown in (a) of FIG. 5, a menu of photo upload, photo sharing, and sharer setting is displayed on the initial screen, and when the 'photo sharing' menu is selected, sharer personal information as shown in (b) of FIG. 5. For example, a screen for inputting a name is displayed, and as shown in FIG. 5C, additional information, for example, a photographing period (eg, one week) of a photographed photograph may be input.

After the basic information of the sharer is input, as shown in (d) of FIG. 5, the input person 'A' is taken and the photos designated as the sharer are listed and displayed. Preferably, along with the preview image (thumbnail image) of the picture, the importance, other sharer and uploader information may also be displayed, and the connected user may select a picture to be shared.

In addition, according to a preferred embodiment, after selecting a picture to share, a screen for selecting a sharing method (email, direct download) as shown in (e) of FIG. 5 may be provided.

According to the configuration described above, the method for sharing image content according to the present invention will be described with reference to the flowchart of FIG. 7.

First, as shown in FIG. 7A, the image content sharing method includes a photo upload step S 100, a photo analysis step S 200, a sharer designation step S 300, and a photo sharing step S 400.

In the picture uploading step S 100, a picture including at least one person is uploaded to the image content system 1000 through the network 400. At this time, additional information (uploader, shooting date and time, theme, shooting location, etc.) may be uploaded together with the picture (see FIG. 2).

Photo analysis step (S 200) is a step of identifying and extracting one or more people included in the uploaded picture.

The photo analyzing step S 200 will be described in more detail with reference to FIG. 7B.

First, the person information detection module 210 of the picture analyzer 200 calls the uploaded picture (S 210), and then detects the person photographed for each picture (S 220).

After detecting the person photographed for each picture, the additional information detection module 220 checks whether the additional information exists in each picture (S 230), and if the additional information exists as a result of the checking, for each picture After extracting the additional information (S240), the additional information is synthesized together with the extracted person information for each picture to generate photo analysis data and then stored in the photo analysis data DB 240. Of course, when the additional information does not exist, the photo analysis data is generated only with each photo and the detected person information and then stored in the photo analysis data DB 240.

Meanwhile, according to a preferred embodiment, the importance analysis process performed by the importance setting module 230 may be further included in the photo analysis step S 200 described with reference to FIG. 7B.

That is, as shown in FIG. 7C, the importance setting module 230 first selects a importance parameter (S 260) and sets a priority for each parameter (S 270 and FIG. 6A).

When the importance parameter and each priority are set, the importance setting module 230 calls the pictures taken by the user for each user and designated as the shared pictures based on the set importance parameter and their priority (S 280). The importance of the called shared pictures is set (S290) (see FIG. 6B).

Referring again to FIG. 7A, when the photo analyzing step S 200 is completed, the sharing designator step S 300 is performed.

Sharer designation step S 300 will be described with reference to FIG. 7D.

First, the sharer setting module 310 calls up the photo analysis data from the photo analysis data DB 240 of the photo analysis unit 200 (S 310).

Next, the sharer setting module 310 automatically assigns a sharer based on the person information for each picture detected in the picture analyzing step S200 (S320). As mentioned above, when specifying a sharer, only the person information detected for each picture may be designated as a sharer, or the photographer who took each picture or the uploader who uploaded the picture may be added as a sharer for the picture together with the captured person. have.

When the automatic sharing of the sharer is completed, it is determined whether or not there is a request for modifying the sharer manually from the user (ie, S330). After the change (S340, see FIG. 4), the shared pictures are classified for each user according to the changed sharer information and stored as shared information (S 350). Of course, when there is no separate sharer change request from the user, the shared photos are classified for each user based on the sharer information automatically designated by the system and stored as shared information (S350, see FIG. 3).

Referring again to FIG. 7A, when the sharer designation step S 300 is completed, the photo sharing step S 400 is performed. As mentioned above, there are two types of sharing methods: each sharer connects to the system and downloads the share photos directly, and the share photos are sent to each sharer's e-mail. It may also be (see FIG. 5E).

Of course, both sharing methods can be applied. By applying two or more sharing methods in this way, the possibility of sharing photos with the sharers is increased.

In addition, if the e-mail or mobile phone number of each sharer is stored in the user information DB 350 in advance, the uploader simply uploads a photo, and the follow-up operation, that is, the detection of the captured person through photo analysis, and the detected person as the sharer. The task of assigning and sharing to designated sharers is automatically performed by the system, which eliminates the trouble of both the photographer (uploader) and the captured person (shareer).

Although specific embodiments of the present invention have been described above, the spirit and scope of the present invention are not limited to the specific embodiments, and various modifications and changes can be made without departing from the spirit of the present invention. Those skilled in the art will understand.

Therefore, since the embodiments described above are provided to completely inform the scope of the invention to those skilled in the art, it should be understood that they are exemplary in all respects and not limited. The invention is only defined by the scope of the claims.

1000: image content sharing system 100: photo collection unit
110: photo upload module 120: additional information input module
130: Photo DB 140: Additional Information DB
200: photo analysis unit 210: portrait information detection module
220: additional information detection module 230: importance setting module
240: photo analysis data DB 300: photo sharing unit
310: sharer setting module 320: photo sharing UI providing module
340: shared information DB 350: user information DB
400: network 510, 520, 530: user terminal

Claims

An image content sharing method using an image content sharing system provided on a network,
(A) uploading image content including one or more human objects to the image content system via the network (S 100),
(B) an analysis step of identifying and extracting one or more human objects included in the uploaded image content (S 200);
(C) designating the one or more human objects extracted from the image content as a sharer for the image content (S 300);
(D) a sharing step of allowing access to the image contents through the network to a human object designated as the sharer (S 400).
Image content sharing method comprising a.

According to claim 1, wherein (B) step,
(B-1) setting the importance of the image content for each of the extracted human objects based on one or more priority parameters for which priority is set (S 260 to S 290)
Image content sharing method further comprises.

The method of claim 2, wherein the importance parameter is
And at least one of the number of the human objects included in the image content or the relative size of the human objects.

The method of claim 1, wherein step (A) comprises:
And when the additional information related to the image content exists, the additional information is uploaded together.

The method of claim 4, wherein the additional information includes information of a human object uploading the image content.
And (c) designating a human object uploading the image content as a sharer for the image content together with the extracted human object extracted from the image content.

According to claim 1, In the step (D),
If there is e-mail address information on the personal object designated as the sharer, the image content designated as the sharer is emailed to the personal object designated as the sharer, regardless of whether the personal object designated as the sharer is accessed or not. Image content sharing method characterized in that the transmission.

The method of claim 1, wherein step (D)
And at least one image content designated by the human object as a sharer is automatically displayed to the accessed human object.