JP2009064148A - Information processing apparatus, control method for information processing apparatus, and control program - Google Patents

Abstract

When adding search metadata to a moving image or a still image, useful search metadata is created and shared while protecting personal information.
Among words included in search metadata associated with moving images or still images, unshared words that are words that are prohibited from being shared, such as personal information, are stored in advance and are not shared from the search metadata. The shared metadata for search (personal information removal metadata 46) is generated by removing the words.
[Selection] Figure 4

Description

  The present invention relates to an information processing apparatus, a control method for the information processing apparatus, and a control program, and more particularly to a technique for facilitating creation and sharing of search metadata such as still images and moving images.

In recent years, with the spread of digital cameras, digital videos, camera-equipped mobile phones, and the like, content such as images stored by individuals has been increasing. Digital image data, which is representative content, is often added with metadata including information indicating the shooting date and time by the function of the digital camera. By using the information included in this metadata, for example, digital image data captured on a specific day can be searched, which helps to manage the digital image data. However, information included in general metadata is information indicating the shooting date and time and shooting conditions (ISO sensitivity, shutter speed, etc.), and does not include information related to the content. For this reason, it is difficult to perform management based on the contents even if information included in the metadata is used.
Metadata systems such as Dublin Core and MPEG-7 have been established, but creating and inputting metadata based on these systems has been difficult for non-experts.
JP 2005-196598 A

In order to solve this, the technique described in Patent Document 1 discloses a technique for increasing and updating metadata by linking contents.
However, in the technology described in Patent Document 1, it is premised that content with the same attribute (same type) is used as the content to be linked, and when content with different attributes is linked, useless metadata increases. There was a problem of doing.
In addition, the metadata is simply increased or updated by obtaining the union of metadata corresponding to the content to be linked. In some cases, even metadata related to personal information that is not desired to be used as metadata is shared. There was a bug that it was.
Furthermore, if you try to increase or update metadata only with content related to acquaintances who are allowed to share personal information to some extent, the total number of metadata that can actually be used will be significantly reduced, making it impractical. Arise.
Accordingly, an object of the present invention is to easily create and share useful search metadata while protecting personal information when assigning search metadata to a moving image or still image. To provide an information processing apparatus, a control method for the information processing apparatus, and a control program.

In order to solve the above-described problem, the first aspect of the present invention is a non-shared memory for storing a non-shared word that is a word prohibited from being shared among words included in search metadata associated with a moving image or a still image. A word storage unit;
The original search metadata associated to be used for searching the moving image or the still image is extracted as the search metadata, or the related content associated with the moving image or the still image is used as the search metadata. A metadata extraction unit for extracting search metadata;
An information processing apparatus comprising: a metadata generation unit that generates the search shared metadata by removing the non-shared word from the search metadata.
According to the above configuration, the non-shared word storage unit stores a non-shared word that is a word forbidden to be shared among words included in the search metadata associated with the moving image or the still image.
The metadata extraction unit extracts, as the search metadata, original search metadata associated to be used for searching for the moving image or the still image, or associates it with the moving image or the still image. The search metadata is extracted from the obtained related content.
Accordingly, the metadata generation unit generates the search shared metadata by removing the non-shared word from the search metadata.

Therefore, the metadata generation unit can generate search shared metadata based on search metadata that is reliably associated with a moving image or a still image for which metadata is to be generated. In this way, metadata that you do not want to share with an unspecified number of users is not shared with other users as search metadata, and you can share and use metadata with an unspecified number of users. Searchability can be improved and user convenience can be improved.
In this case, examples of related content include personal homepages, blogs, e-mails sent and received by individuals, homepages related to newspapers and events, all of which are subject to image search metadata. It includes information about the date, place, and event when a certain moving image or still image was taken.
For example, when the related content is a blog, there is a high possibility that a description related to travel or family events is included. In addition, when the related content is an e-mail, there is a high possibility that information related to travel and family events will be transmitted and received.

According to a second aspect of the present invention, in the first aspect of the present invention, the meta data for exchanging the search shared metadata generated by the metadata generation unit with an external information processing apparatus via a communication network. It features a data exchange unit.
According to the above configuration, the metadata exchange unit exchanges the shared search metadata generated by the metadata generation unit with the external information processing apparatus via the communication network.
Therefore, shared search metadata can be shared with an external information processing apparatus, information resources can be used effectively, and more metadata can be used, improving user convenience and searchability. .

According to a third aspect of the present invention, in the second aspect of the present invention, the metadata exchange unit is an external information processing apparatus having access rights to data corresponding to the information processing apparatus. The search information generated by the metadata generation unit is an exchange of the search metadata via a communication network and an external information processing device that does not have access rights to the data corresponding to the information processing device. The shared metadata is exchanged via the communication network.
According to the above configuration, shared search metadata can be made different between an external information processing apparatus having access rights and an external information processing apparatus not having access rights. Use and the conflicting purpose of protecting personal information can both be achieved.

According to a fourth aspect of the present invention, in the second or third aspect of the present invention, a plurality of the search metadata are associated with the moving image or the still image, When the search metadata corresponding to the moving image or the still image for which the search shared metadata is generated matches with the external information processing apparatus, the metadata exchange unit Is characterized in that the search shared metadata is exchanged.
According to the above configuration, when any of the search metadata corresponding to the moving image or the still image for which the search shared metadata is generated matches between the information processing apparatus and the external information processing apparatus In addition, since the metadata exchange unit exchanges the search shared metadata, the metadata for search can be automatically collected, and the convenience for the user can be improved.

According to a fifth aspect of the present invention, in the first to fourth aspects of the present invention, the unshared word includes at least a word to be managed as personal information.
Therefore, at least a word to be managed as personal information is not shared as an unspecified number of users as a search shared data field, and personal information can be protected.

Further, a seventh aspect of the present invention includes a non-shared word storage unit that stores a non-shared word that is a word prohibited from being shared among words included in search metadata associated with a moving image or a still image. A method for controlling an information processing apparatus, wherein original search metadata associated in advance to be used for searching for the moving image or the still image is extracted as the search metadata, or the moving image Alternatively, a metadata extraction process for extracting the search metadata from related content associated with the still image, and metadata generation for generating the search shared metadata by removing the non-shared words from the search metadata And a process for controlling the information processing apparatus.
Therefore, according to the above configuration, the search shared metadata can be generated based on the search metadata reliably associated with the moving image or the still image of the metadata generation target, and the personal information including the name and the like can be generated. In this way, metadata that you do not want to share with an unspecified number of users is not shared with other users as search metadata, and you can share and use metadata with an unspecified number of users. Searchability can be improved and user convenience can be improved.

In addition, an eighth aspect of the present invention includes a non-shared word storage unit that stores a non-shared word that is a word prohibited from being shared among words included in search metadata associated with a moving image or a still image. A control program for controlling the information processing apparatus by a computer, wherein original search metadata associated in advance for use in searching for the moving image or the still image is extracted as the search metadata. Or extracting the search metadata from the related content associated with the moving image or the still image, and generating the search shared metadata by removing the non-shared word from the search metadata. Is a control program characterized by
Therefore, according to the above configuration, the search shared metadata can be generated based on the search metadata reliably associated with the moving image or the still image of the metadata generation target, and the personal information including the name and the like can be generated. In this way, metadata that you do not want to share with an unspecified number of users is not shared with other users as search metadata, and you can share and use metadata with an unspecified number of users. Searchability can be improved and user convenience can be improved.

Next, preferred embodiments of the present invention will be described with reference to the drawings.
FIG. 1 is a schematic configuration block diagram of an image information processing system according to an embodiment.
The image information processing system 1 constitutes a social networking service (SNS), and is roughly classified into a service server 2 that provides various services in the SNS, and a service server 2 that is connected to the various services. An information database (DB) 3 storing information for the communication server 4, a communication network 4 to which the service server 2 is connected, and a plurality of image information processing apparatuses 10 connected to the communication network 4.
In this case, the image information processing apparatus 10 is owned by each user participating in the SNS.

FIG. 2 is a schematic configuration block diagram of the image information processing apparatus according to the embodiment.
The image information processing apparatus 10 is configured as a personal computer. The image information processing apparatus main body 11 performs image processing, the image input apparatus 12 performs various image inputs, and inputs such as a keyboard and a mouse for performing various operations. The apparatus 13 includes a display device 14 such as a liquid crystal display that performs various displays, an output device 15 such as a printer that performs printing, and an external storage device 16 such as a hard disk device that stores various data.
The image information processing apparatus main body 11 includes a microprocessor unit (MPU) 21 that controls the entire image information processing apparatus main body 11, a ROM 22 that stores various data including various control programs, and a RAM 23 that functions as a work area of the MPU 21. And a communication interface unit 24 that performs an interface operation with an external communication network such as a LAN or the Internet.

FIG. 3 is a functional block diagram of the image information processing apparatus.
The image information processing apparatus 10 is roughly classified into a video / image input unit 31, a text extraction unit 32, a morpheme analysis unit 33, a layout analysis unit 34, an important phrase extraction unit 35, a filtering unit 36, and an appearance. A probability calculation unit 37.

  The video / image input unit 31 inputs moving image data (corresponding to a moving image [or video]) or still image data (corresponding to a still image) via a broadcast radio wave, a communication network, or a data storage medium such as an IC memory card. . Specifically, images of various image formats are extracted or received from files having various compression formats and file formats, and input devices such as scanners, digital cameras, and digital video cameras. In this case, compression formats include JPEG, MPEG-4, H.264. H.264 or the like.

The text extraction unit 32 extracts text data other than tag information from hypertext data described in XHTML (individual homepage, blog, etc.), transmitted / received e-mail, XML (music search metadata, etc.).
The morpheme analysis unit 33 performs morpheme analysis on text corresponding to text data such as a blog or text data speech-recognized by the speech recognition unit, extracts words (phrases), and performs stemming as necessary.

  The layout analysis unit 34 clarifies the positional relationship between the moving image or the still image and the text when the moving image or the still image and the text are mixedly laid out as in a blog or a homepage.

The important word / phrase extraction unit 35 extracts a word / phrase as metadata from the most related content (denoted as content i) from a plurality of related content.
In this case, a phrase representing the related content, that is, a phrase having a high importance in the related content is regarded as a phrase that best expresses a moving image or a still image, and is expressed as an important phrase.
Here, the importance is calculated by TF / IDF (Term Frequency & Inverse Document Frequency) processing. Then, the important word / phrase extraction unit 35 obtains the importance tfidf (i, j) of each word / phrase j extracted from the content i by the morpheme analysis unit 33 by the following equation (1).
W (t, d) = TF (t, d) × IDF (t) (1)
Here, TF (t, d) is the appearance frequency of the phrase t in the text data d.
IDF (t) is calculated from the number of text data of the content in which the phrase t appears among all the searched contents as the appearance frequency of the phrase t. IDF (t) is an index indicating whether or not the phrase t is a word that appears specifically in the text data of the related content. Words that appear less frequently in other content and appear frequently in specific content are regarded as important words.
TF (t, d) is an index representing the importance of a phrase based on the appearance frequency of related content in text data. In other words, phrases that frequently appear in the content are regarded as important phrases.

  The filtering unit 36 performs filtering and morpheme analysis unit 33 to make a metadata candidate as a search metadata candidate to be given to a moving image or a still image as search metadata to be given to the moving image or the still image. Realize the function as a personal information protection filter by working together.

In this case, a phrase with a relatively high importance or a phrase with a relatively high appearance probability is used as a phrase that is a metadata candidate.
Specifically, when a word with high importance is used as a metadata candidate, the value of tfidf (i, j) after filtering is a certain value or more, or the appearance probability calculation unit 37 described later calculates When the appearance probability P (j) of the word / phrase j is equal to or greater than a certain value, filtering is performed so that the word / phrase j is used as search metadata.

The appearance probability calculation unit 37 calculates the appearance probability using any of the following.
As a first method, a video image database (content) to which metadata is added is referred to and the added search metadata is used.
In addition, as a second method, text data estimated to be related to a moving image or a still image using content including a moving image or a still image and text data (for example, a web page including a blog or a homepage) is used. Use included words as search metadata.

The appearance probability calculation unit 37 estimates that the text arranged in the vicinity of the image frame is highly related to the moving image or the still image displayed in the image frame based on the analysis result of the layout analysis unit 34. Thus, the phrase included in the text in this area is used as search metadata.
On the other hand, the appearance probability calculation unit 37 estimates that the text laid out away from the image frame is not related to the moving image or the still image displayed in the image frame, and includes words / phrases included in these regions. Is not used as search metadata.

As described above, the appearance probability calculation unit 37 calculates the appearance probability from the text (data) included in the homepage or blog, including a new phrase (new word) that is newly used with the year and month. This is so that it can be used as metadata.
And the appearance probability calculation part 37 calculates | requires the appearance probability P (j) of the phrase j from each said content as follows.
Appearance probability P (j) of phrase j = number of occurrences of phrase j / Σ (number of occurrences of phrase j)
Here, the number of occurrences of phrase j is the number of phrases j that appear in a certain content, and Σ (number of occurrences of phrase j) is the number of phrases j that appear in all contents.

Next, prior to describing the operation of the embodiment, the configuration of user data in the SNS will be described.
FIG. 4 is a diagram illustrating the configuration of user data in the SNS.
The DB connected to the service server includes a blog DB 41 storing blog data, a message DB 42 storing message data, a photo DB 43 storing photo data together with metadata (original search metadata), and each user. Personal information for generating personal information removal metadata 46 by removing personal information from metadata corresponding to blog data, message data, or photo data And a protective filter unit 45.

Here, the personal information protection filter unit will be described.
FIG. 5 is a functional block diagram of the personal information protection filter unit.
The personal information protection filter unit 45 is actually configured by the morphological analysis unit 33 and the filtering unit 36 described above.
When the filtering unit 36 functions as a personal information protection filter unit, it is roughly divided into a non-shared word DB 51 that is a database (DB) storing pre-registered non-shared words, and a morpheme analysis unit 33 after morpheme analysis processing. The non-shared word comparison unit 52 that compares the obtained word group with the non-shared word stored in the non-shared word DB 51, and the non-shared word group obtained after the morphological analysis processing based on the result of the non-shared word comparison unit 52 A metadata reconstructing unit 53 that reconstructs the personal information removal metadata excluding words.
The registration of the non-shared word in the non-shared word DB 51 may be directly input and registered by the user, or the contents related to the user (the contents of the homepage, blog, e-mail, etc.) are analyzed and automatically extracted ( Text mining) may be automatically registered.
With the above configuration, the non-shared word comparison unit 52 constituting the personal information protection filter compares the word group obtained after the morpheme analysis processing by the morpheme analysis unit 33 with the non-shared word stored in the non-shared word DB 51 and matches them. To extract words.

As a result, the metadata reconstruction unit 53 removes the non-shared word from the word group obtained after the morphological analysis process based on the result of the non-shared word comparison unit 52, and removes the personal information removal metadata 46 (search shared metadata). Reconfigured and output as
Next, the operation of the embodiment will be described.
FIG. 6 is a processing flowchart of the embodiment.
First, the user accesses the service server 2 via the image information processing apparatus 10 and uploads photo data to the SNS (step S11).
Next, the metadata accompanying the uploaded photo data is analyzed (step S12).
Subsequently, the service server 2 creates personal information removal metadata 46 that has passed through the personal information filter (step S13).

Next, it is determined whether or not the number of assigned metadata has already reached the upper limit number (step S14).
If it is determined in step S14 that the number of assigned metadata has reached the upper limit (step S14; Yes), the process ends.
If it is determined in step S14 that the number of assigned metadata has not yet reached the upper limit (step S14; No), the user's metadata is compared with the metadata of other members who are permitted to access. (Step S15).
Next, it is determined whether or not there is a match with the compared metadata (step S16). Here, “matching” includes not only perfect matching but also those within a predetermined allowable range. For example, this is the case in a predetermined time difference range, a predetermined distance range in latitude and longitude coordinates, or the like.
If it is determined in step S16 that there is a match with the compared metadata (step S16; Yes), the matching items are exchanged and given (step S17).

Here, the metadata exchange will be specifically described.
FIG. 7 is an explanatory diagram of the exchange of metadata between users (user A and user B) who have access permission.
In this case, the user A has received an access permission for the user B, and similarly, the user B has received an access permission for the user A.
In this case, as shown in FIG. 7, the original metadata is exchanged as it is.
FIG. 8 is an explanatory diagram of the metadata holding state of each user before the metadata exchange.
FIG. 9 is an explanatory diagram of the metadata holding state of each user after the metadata exchange.
As shown in FIG. 8, the metadata MA held by the user A includes date / time data 61A indicating the shooting date of the photo, GPS data 62A indicating the shooting location, event name data 63A indicating the content of the photo, and weather of the shooting date / time. Weather data 64A representing the location, location name data 65A representing the shooting location, and the like.

Similarly, the metadata MB held by the user B includes date / time data 61B representing the shooting date of the photograph, GPS data 62B representing the shooting location, event name data 63B representing the contents of the photograph, and weather data 64B representing the weather at the shooting date / time. In addition, place name data 65B representing the shooting place is included.
In this case, as shown in FIG. 9, since the date and time data 61A and 61B and the GPS data 62A and 62B of the metadata MA held by the user A and the metadata MB held by the user B match, the same event Therefore, the event name data 63A and 63B are exchanged.
As a result, the event name data 63A of the metadata MA held by the user A before the exchange is only “Sports Day”, whereas the event name data 63A after the exchange is the metadata MB of the user B. "OO's 100m run" included in the event name data 63B will be added.
Similarly, the event name data 63B of the metadata MB owned by the user B before the exchange is only “100m run of OO”, whereas the event name data 63B after the exchange is held by the user A. “Athletic meet” included in the event name data 63A of the metadata MA is added.

Subsequently, it is determined whether or not the number of assigned metadata has already reached the upper limit number (step S18).
If it is determined in step S18 that the number of assigned metadata has reached the upper limit (step S18; Yes), the process ends.
If it is determined in step S18 that the number of assigned metadata has not reached the upper limit (step S18; No), the process proceeds to step S19.
In the determination in step S16, if there is no match with the compared metadata (step S16; No), it is determined whether or not there are other members who are permitted to access (step S19).
If it is determined in step S19 that there are other members who are permitted access (step S19; Yes), the process proceeds to step S15 again, and the same process is performed thereafter.

In the determination of step S19, if there is no other member who has access permission (step S19; No), the member that has not received access permission (access not-permitted member) and the meta after the removal of personal information. The personal information removal metadata 46, which is data, is compared (step S20).
Next, it is determined whether or not there is a match with the compared personal information removal metadata 46 (step S21).
If it is determined in step S21 that there is a match with the compared personal information removal metadata 46 (step S21; Yes), the matching personal information removal metadata 46 is exchanged and added (step S22). ).

FIG. 10 is an explanatory diagram of the exchange of metadata between users (user A, user C) who do not have access permission. In this case, although user A has received access permission for user B, It is assumed that access permission for C is not received, and similarly, user C receives access permission for user D but does not receive access permission for user A.
In this case, as shown in FIG. 10, unlike the case of FIG. 7, the original metadata is not exchanged as it is, but the personal information removal metadata 46 is exchanged.

FIG. 11 is an explanatory diagram of the metadata holding state of each user before the metadata exchange.
FIG. 12 is an explanatory diagram of the metadata holding state of each user after the metadata exchange.
As shown in FIG. 11, the metadata MA held by the user A includes date / time data 61A representing the photographing date of the photograph, GPS data 62A representing the photographing location, event name data 63A representing the contents of the photograph, and weather of the photographing date / time. Weather data 64A representing the location, location name data 65A representing the shooting location, and the like.
Similarly, the metadata MC possessed by the user C includes date / time data 61C representing the photographing date of the photograph, GPS data 62C representing the photographing location, event name data 63C representing the content of the photograph, and weather data 64C representing the weather at the photographing date / time. , Place name data 65C representing a shooting place is included.

In this case, as shown in FIG. 12, the date and time data 61A and 61C and the GPS data 62A and 62C of the metadata MA held by the user A and the metadata MC held by the user C match, so the same event Therefore, the event name data 63A and 63C are exchanged.
As a result, the event name data 63A of the metadata MA held by the user A before the exchange is only “athletic meet”, whereas the event name data 63A after the exchange is the metadata MC held by the user C. “100 m run” obtained by removing personal information from “100 m run of OO” included in the event name data 63C will be added.
Similarly, the event name data 63C of the metadata MC held by the user C before the exchange is only “OO 100m run”, whereas the event name data 63C after the exchange is held by the user A. “Athletic meet” included in the event name data 63A of the metadata MA is added. In this case, since the “athletic meet” included in the event name data 63A of the metadata MA does not include personal information, it is exchanged as it is.

Subsequently, it is determined whether or not the number of assigned metadata has already reached the upper limit number (step S23).
If it is determined in step S23 that the number of assigned metadata has reached the upper limit (step S23; Yes), the process ends.
If it is determined in step S23 that the number of assigned metadata has not reached the upper limit (step S23; No), the process proceeds to step S24.
In the determination in step S21, if there is no match with the compared personal information removal metadata 46 (step S21; No), it is determined whether there are any other members whose access is not permitted (step S24).
If it is determined in step S24 that there are other members who are permitted access (step S24; Yes), the process proceeds to step S20 again, and the same process is performed thereafter.

As described above, according to the present embodiment, when viewed from a specific user, users other than the user, such as SNS, have a small number of access rights and an overwhelming number of users without access rights. Even in the situation where it is configured, search metadata obtained from an overwhelming number of users without access rights can be used as metadata of own data (for example, photo data), and can be used by many other users. A large number of generated metadata can be used effectively.
That is, according to the present embodiment, by deleting and removing personal information from the original search metadata, the amount of metadata that can be shared as a whole increases regardless of the presence or absence of access rights. Data proliferation and utilization become possible.
In addition, for users with access rights, metadata including personal information can be exchanged as before, and metadata can be used without knowing whether or not there is access rights. Improvements can be realized.

In the above description, the personal information removal metadata 46 is an embodiment in which the personal information removal metadata 46 is automatically created and assigned, and the personal information removal metadata 46 generated by the user could not be confirmed at the time of creation. It is also possible to configure so that it can be confirmed at the time of generation. This will be specifically described below.
FIG. 13 is an explanatory diagram of an example of a personal information removal metadata creation confirmation screen.
As shown in FIG. 13, on the display screen 70, the photo data 71 to be created of the personal information removal metadata 46, date / time data 72 constituting the original metadata (original search metadata), GPS data 73, weather data 74, among the place name data 75 and the event name data 76, the event name data 76A = “OO” and the particle “NO”, which are proper nouns, are removed from the event as personal information. Since it can be confirmed that the event name data 76B = “athletic meet” as the removal metadata 46 (non-search shared metadata) has been generated, the user clicks the confirmation button, thereby the personal information removal metadata 46. Will be registered.
Also, in this case, when using metadata of members who do not have access rights, the entire SNS is selected from the matching metadata instead of sequentially examining the metadata attached to each piece of photo data. By adopting them in order from the most commonly used metadata, it is possible to provide metadata with good searchability.

In the above description, when the number of assigned metadata has reached the upper limit, new metadata is not given. However, among the matching metadata in SNS, use in SNS. When metadata with higher frequency appears, it can be configured to replace it with metadata with higher usage frequency.
FIG. 14 is a conceptual diagram of metadata replacement processing in consideration of usage frequency.
Specifically, as shown in FIG. 14, when a plurality of place names matching the shared metadata DB 82 are included in the data content of one GPS data 81, that is, as a corresponding place name, “△△ Elementary School ”,“ School ”, and“ □□ machi △ Chome ”,“ △△ Elementary School ”is the highest, and“ □□ machi △ Chome ”is the lowest, place name data =“ School ” Replace with “△△ Elementary School”.

  In the above embodiment, the configuration shown in FIG. 2 is realized mainly by a hardware configuration or by cooperation of hardware and software, and specific components of the image information processing apparatus 10 are specifically described. The form and physical form are arbitrary.

In the above description, the image information processing apparatus 10 can be specifically applied to a personal computer, a PDA, a mobile phone, etc., but a digital still camera, a digital video camera, a scanner, a projector, a television, a printer, It is possible to mount or connect to other electronic devices that process image data.
In the above description, the case where the control program for realizing the above functions is stored in the ROM 22 in advance has been described. However, the control program is recorded on a computer (CPU) readable recording medium. Also good. With such a configuration, when the program is read from the storage medium by the computer and the computer executes processing according to the read program, the same operations and effects as those in the above embodiments can be obtained.

Here, the storage medium is a semiconductor storage medium such as RAM or ROM, a magnetic storage type storage medium such as FD or HD, an optical reading type storage medium such as CD, CDV, LD, or DVD, or a magnetic storage type such as MO. / Optical reading type storage medium, and any storage medium can be used as long as it can be read by a computer regardless of electronic, magnetic, optical, etc. .
It is also possible to configure such that a control program is downloaded, installed and executed via a communication network such as the Internet or a LAN and the communication interface unit 24.

1 is a schematic configuration block diagram of an image information processing system according to an embodiment. 1 is a schematic configuration block diagram of an image information processing apparatus according to an embodiment. It is a functional block diagram of an image information processing apparatus. It is structure explanatory drawing of the user data in SNS. It is a functional block diagram of a personal information protection filter part. It is a processing flowchart of an embodiment. It is explanatory drawing of the metadata exchange between the users who have access permission. It is explanatory drawing of the possession state of each user's metadata before metadata exchange. It is explanatory drawing of the possession state of each user's metadata after metadata exchange. It is explanatory drawing of the metadata exchange between the users who do not have access permission. It is explanatory drawing of the possession state of each user's metadata before metadata exchange. It is explanatory drawing of the possession state of each user's metadata after metadata exchange. It is explanatory drawing of an example of the creation confirmation screen of personal information removal metadata. It is a conceptual diagram of the metadata replacement process in consideration of usage frequency.

Explanation of symbols

  DESCRIPTION OF SYMBOLS 1 ... Image information processing system, 2 ... Service server, 4 ... Communication network, 10 ... Image information processing apparatus, 11 ... Image information processing apparatus main body, 12 ... Image input device, 13 ... Input device, 14 ... Display device, 15 ... Output device, 16 ... external storage device, 21 ... MPU, 22 ... ROM, 23 ... RAM, 24 ... communication interface unit, 31 ... video / image input unit, 32 ... text extraction unit, 33 ... morpheme analysis unit, 34 ... layout Analysis unit 35 ... Important phrase extraction unit 36 ... Filtering unit 37 ... Appearance probability calculation unit 41 ... Blog DB 42 ... Message DB 43 ... Photo DB 44 ... Access right information storage unit 45 ... Personal information protection Filter unit, 46 ... personal information removal metadata, 51 ... non-shared word DB, 52 ... non-shared word comparison unit, 53 ... metadata reconstruction unit, 61A-61C Date / time data, 62A to 62C ... GPS data, 63A to 63C ... event name data, 64A to 64C ... weather data, 65A to 65C ... place name data, 70 ... display screen, 71 ... photo data, 72 ... date data, 73 ... GPS Data, 74 ... Weather data, 75 ... Place name data, 76 ... Event name data, 76A to 76B ... Event name data, 81 ... GPS data, MA, MB, MC ... Metadata.

Claims (7)

A non-shared word storage unit that stores a non-shared word that is a word that is prohibited from being shared among words included in search metadata associated with a moving image or a still image;
The original search metadata associated to be used for searching the moving image or the still image is extracted as the search metadata, or the related content associated with the moving image or the still image is used as the search metadata. A metadata extraction unit for extracting search metadata;
A metadata generation unit that generates the search shared metadata by removing the non-shared word from the search metadata;
An information processing apparatus comprising: The information processing apparatus according to claim 1,
An information processing apparatus comprising: a metadata exchanging unit that exchanges the search shared metadata generated by the metadata generating unit with an external information processing apparatus via a communication network. The information processing apparatus according to claim 2,
The metadata exchange unit exchanges the search metadata via a communication network with an external information processing apparatus having an access right to data corresponding to the information processing apparatus,
An external information processing apparatus that does not have access to the data corresponding to the information processing apparatus exchanges the search shared metadata generated by the metadata generation unit via the communication network.
An information processing apparatus characterized by that. In the information processing apparatus according to claim 2 or 3,
A plurality of the search metadata are associated with the moving image or the still image, and the moving image or the generation target of the search shared metadata is generated between the information processing apparatus and the external information processing apparatus. When any of the search metadata corresponding to the still image matches, the metadata exchange unit exchanges the search shared metadata.
An information processing apparatus characterized by that. The information processing apparatus according to any one of claims 1 to 4,
The non-shared word includes at least a word to be managed as personal information. A control method for an information processing apparatus including a non-shared word storage unit that stores a non-shared word that is a word prohibited from sharing among words included in search metadata associated with a moving image or a still image,
Original search metadata associated in advance for use in searching for the moving image or the still image is extracted as the search metadata, or from related content associated with the moving image or the still image. A metadata extraction process for extracting the search metadata;
A metadata generation process for generating the search shared metadata by removing the unshared word from the search metadata;
An information processing apparatus control method comprising: An information processing apparatus including a non-shared word storage unit that stores a non-shared word that is a word prohibited from being shared among words included in search metadata associated with a moving image or a still image is controlled by a computer A control program,
Original search metadata associated in advance to be used for searching the moving image or the still image is extracted as the search metadata, or from related content associated with the moving image or the still image. Extracting the search metadata,
Removing the non-shared word from the search metadata to generate search shared metadata;
A control program characterized by that.

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