JP2010134609A - Content evaluation method, content evaluation apparatus and program - Google Patents

Abstract

<P>PROBLEM TO BE SOLVED: To appropriately evaluate content posted by posters. <P>SOLUTION: A content evaluation apparatus for evaluating processed content processed by a content processor includes a processing degree acquisition part for acquiring a processing degree indicating the degree of content processing by the content processor, and an evaluation calculation part for calculating an evaluation of the processed content according to the processing degree obtained by the processing degree acquisition part. The processed content is thus appropriately evaluated. <P>COPYRIGHT: (C)2010,JPO&INPIT

Description

  The present invention relates to a content evaluation method, a content evaluation device, and a program.

Patent Document 1 provides content that accumulates content posted by a contributor in a database and gives the contributor points according to the popularity of the content when the content is used by a person other than the contributor. The system is described.
JP 2001-319073 A

  However, in the technique disclosed in Patent Document 1, content evaluation is determined based on votes from other users. For this reason, a low evaluation may be given to the content created by the poster with much effort, or a high evaluation may be given to the content created by the poster with little effort. For example, there is a case where content created and posted by one contributor with much effort is processed and posted by other contributors with little effort. On the other hand, the content created and posted by one contributor with little effort may be processed and posted by other contributors with much effort. In these cases, appropriate evaluation cannot be given to each of the content posted by one contributor and the content posted by another contributor.

  In order to solve the above-mentioned problem, a content evaluation method according to a first aspect of the present invention is a content evaluation method for evaluating processed content processed by a content processor, and the content processor processes the content. A processing degree acquisition stage for acquiring a processing degree indicating the degree of processing, and an evaluation degree calculation stage for calculating an evaluation degree of the content after processing based on the processing degree acquired in the processing degree acquisition stage.

  In the content evaluation method, the evaluation degree calculation step may calculate the evaluation degree higher as the processing degree is higher.

  The content evaluation method may further include an external evaluation degree acquisition step of acquiring an external evaluation degree that is an evaluation degree from the content evaluator for the processed content, and the evaluation degree calculation step includes the processing degree of the content, Based on the external evaluation degree, the evaluation degree of the processed content may be calculated.

  In the content evaluation method, in the evaluation degree calculation stage, the higher the degree of processing, the higher the degree of evaluation of the processed content, and the higher the external evaluation degree, the higher the degree of evaluation of the processed content May be.

  The content evaluation method may further include a reward amount calculation step of calculating a higher reward amount for the content processor as the evaluation degree calculated in the evaluation degree calculation step is higher.

  In the above content evaluation method, when content is processed by a plurality of content processors, a plurality of content processors are processed based on the plurality of evaluation degrees calculated by the evaluation degree calculation stage for each of the plurality of content processors. A remuneration amount calculating step for calculating remuneration amounts may be further provided.

  The content evaluation method may further include a content registration step of registering the content before processing and the content after processing in the storage unit, and the processing level acquisition step includes the content before processing and the post-processing registered in the storage unit The degree of processing may be calculated higher as the difference is larger.

  In the content evaluation method, a content registration step of registering the content before processing and the content after processing in the storage unit, and a processing history registration step of registering the processing history of the content by the content processor in the storage unit In the processing level acquisition stage, the difference between the content before processing and the content after processing stored in the storage unit is calculated from the processing history registered in the storage unit. May be calculated higher.

  A content evaluation method according to a second aspect of the present invention is a content evaluation method for evaluating a processed content material processed by a content processor, and a processing degree indicating a degree of processing of the content material by the content processor. And a degree-of-evaluation stage for calculating the degree of evaluation of the processed content material based on the degree of process acquired in the degree-of-process acquisition stage.

  A content evaluation apparatus according to a third aspect of the present invention is a content evaluation apparatus that evaluates content that has been processed by a content processor, and obtains a degree of processing that indicates the degree to which the content has been processed by the content processor. A processing degree acquisition unit that performs the processing, and an evaluation degree calculation unit that calculates an evaluation degree of the content after processing based on the processing degree acquired by the processing degree acquisition unit.

  A content evaluation apparatus according to a fourth aspect of the present invention is a content evaluation apparatus that evaluates a processed content material processed by a content processor, and indicates a degree of processing that indicates the degree to which the content material has been processed by the content processor. And a degree-of-evaluation calculating unit that calculates the degree of evaluation of the processed content material based on the degree of processing acquired by the degree-of-processing acquiring unit.

  A program according to a fifth aspect of the present invention is a program for a content evaluation apparatus that evaluates content that has been processed by a content processor, and indicates the degree to which the content has been processed by the content processor. Based on the degree of processing acquired by the degree of processing acquired by the degree of processing and the degree of processing acquired by the degree of processing acquiring unit, it is made to function as an evaluation degree calculating unit for calculating the evaluation degree of the content after processing.

  A program according to a sixth aspect of the present invention is a program for a content evaluation apparatus that evaluates a processed content material processed by a content processor, and the degree to which the content material is processed by the content processor. Based on the degree of processing acquired by the degree of processing acquired by the degree-of-working acquisition unit and the degree of processing acquired by the processing-degree acquisition unit, it is made to function as an evaluation degree calculating unit for calculating the evaluation degree of the processed content material.

  It should be noted that the above summary of the invention does not enumerate all the necessary features of the present invention. In addition, a sub-combination of these feature groups can also be an invention.

  Hereinafter, the present invention will be described through embodiments of the invention, but the following embodiments do not limit the invention according to the claims. In addition, not all the combinations of features described in the embodiments are essential for the solving means of the invention.

  FIG. 1 shows an example of a content distribution system 10 according to the embodiment. The content distribution system 10 includes a mobile phone 121, a mobile phone 122, a mobile phone 123, and a content distribution server 100.

  The content distribution server 100 is connected to a network 130 such as the Internet or a packet switching network. The content distribution server 100 functions as a content distribution device that distributes dress-up content. In addition, the content distribution server 100 functions as a content evaluation device that evaluates dress-up content. Dress-up content is content in which icons, buttons, backgrounds, etc., which are components of the screen, are packaged. For example, a mobile phone uses the dress-up content to replace screen components at the same time. Thus, the screen design can be changed to a unified design.

  The content distribution server 100 may distribute and evaluate content other than the dress-up content. For example, the content distribution server 100 may distribute and evaluate content such as still image data, moving image data, audio data, text data, decoration mail, ringtones, and ringtones.

  The content distribution server 100 may distribute and evaluate the content material. Content material is a component of content such as backgrounds, icons, buttons, graphics, characters, photos, and audio. For example, content creators and content creators process and create content in units of content materials. Can do.

  Each of the mobile phone 121, the mobile phone 122, and the mobile phone 123 is a terminal device that can handle content. Specifically, each of these mobile phones can create, process, post, purchase, and play back content. Each of these mobile phones can also input a user evaluation for the content.

  Mobile phone 121, mobile phone 122, and mobile phone 123 can each be connected to network 130. Thereby, these mobile phones can transmit and receive content to and from the content distribution server 100 via the network 130, respectively.

  In the present embodiment, a mobile phone 121, a mobile phone 122, and a mobile phone 123 will be described as an example of a terminal device that handles content. However, the present invention is not limited to these, and a personal computer that can handle content. , PDA, game machine, etc. In the following description, an example will be described in which a content creator uses a mobile phone 121, a content processor uses a mobile phone 122, and a content purchaser / content evaluator uses a mobile phone 123.

  FIG. 2 shows an example of the functional configuration of the content distribution server 100. The content distribution server 100 includes a registration unit 200, a distribution unit 220, an evaluation unit 260, a storage unit 280, and a communication I / F 290.

  The registration unit 200 registers content. The registration unit 200 includes a content acquisition unit 202, a content registration unit 204, a processing history acquisition unit 206, and a processing history registration unit 208.

  The content acquisition unit 202 acquires content. For example, the content acquisition unit 202 acquires content created by the content creator (that is, content before processing) from the mobile phone 121 via the communication I / F 290. Also, the content acquisition unit 202 acquires content processed by the content processor (that is, processed content) from the mobile phone 122 via the communication I / F 290.

  The content registration unit 204 registers the content acquired by the content acquisition unit 202 in the storage unit 280. For example, the content registration unit 204 registers content created by the content creator in the storage unit 280. Also, the content registration unit 204 registers the content processed by the content processor in the storage unit 280 in association with the content before processing already registered in the storage unit 280.

  The processing history acquisition unit 206 acquires a processing history in which a content processor processes content. Specifically, the content acquisition unit 202 acquires the processed history of the processed content from the mobile phone 122 via the communication I / F 290. Note that the content acquisition unit 202 may acquire the processing history of the content before processing from the mobile phone 121 via the communication I / F 290.

  The machining history registration unit 208 registers the machining history acquired by the processing history acquisition unit 206 in the storage unit 280. For example, the processing history registration unit 208 associates the processing history of the processed content acquired from the mobile phone 122 by the processing history acquisition unit 206 with the processed content acquired from the mobile phone 122 by the content acquisition unit 202. Then, it is registered in the storage unit 280. The processing history registration unit 208 associates the processing history of the content before processing acquired from the mobile phone 121 by the processing history acquisition unit 206 with the content before processing acquired from the mobile phone 121 by the content acquisition unit 202. Then, it may be registered in the storage unit 280.

  The distribution unit 220 distributes content. The distribution unit 220 includes a distribution request acquisition unit 222, a distribution content extraction unit 224, and a distribution unit 226.

  The distribution request acquisition unit 222 acquires a content distribution request. For example, the distribution request acquisition unit 222 acquires a content distribution request from the mobile phone 123 via the communication I / F 290. For example, a content distribution request is transmitted from the mobile phone 123 when the content purchaser purchases content to be distributed using the mobile phone 123. The mobile phone 123 can not only transmit a content distribution request after processing, but can also transmit a content distribution request before processing. Further, when the processed content is processed by a plurality of content processors, the mobile phone 123 transmits a request for distributing a content of an arbitrary version when processed by an arbitrary content processor. Can do.

  The distribution content extraction unit 224 extracts the content requested for distribution from the storage unit 280 based on the distribution request acquired by the distribution request acquisition unit 222.

  The distribution unit 226 distributes the content extracted from the storage unit 280 by the distribution content extraction unit 224. For example, the distribution unit 226 distributes the content to the mobile phone 123 that is the mobile phone that has transmitted the distribution request acquired by the distribution request acquisition unit 222.

  The registration unit 200 further registers an external evaluation degree that is an evaluation degree from the content evaluator for the content. The registration unit 200 further includes an external evaluation degree receiving unit 242 and an external evaluation degree registration unit 244.

  The external evaluation degree receiving unit 242 acquires an external evaluation degree indicating the degree of user evaluation from the content evaluator for the processed content. For example, the content acquisition unit 202 acquires the external evaluation degree for the processed content from the mobile phone 123 via the communication I / F 290. For example, in the mobile phone 123, an external evaluation degree for the purchased content is input by the content purchaser. The mobile phone 123 transmits the external evaluation degree input to the mobile phone 123 to the content distribution server 100. Note that the external evaluation level receiving unit 242 may acquire an external evaluation level for the content before processing. The external evaluation degree may be shown stepwise or numerically.

  The external evaluation degree registration unit 244 registers the external evaluation degree acquired by the external evaluation degree receiving unit 242 in the storage unit 280. Specifically, the external evaluation degree registration unit 244 registers the external evaluation degree acquired by the external evaluation degree receiving unit 242 in the storage unit 280 in association with the content to be evaluated.

  The external evaluation level receiving unit 242 may acquire the external evaluation level for a single content a plurality of times. In this case, the external evaluation degree registration unit 244 may additionally register the external evaluation degree acquired by the external evaluation degree receiving unit 242 each time the external evaluation degree receiving unit 242 acquires the external evaluation degree. The external evaluation degree registration unit 244 also acquires the external evaluation degree that has already been registered in the storage unit 280 by the external evaluation degree receiving unit 242 every time the external evaluation degree receiving unit 242 acquires the external evaluation degree. You may update with a rating. The external evaluation degree registration unit 244 acquires the external evaluation degree receiving unit 242 for the external evaluation degree that has already been registered in the storage unit 280 every time the external evaluation degree receiving unit 242 acquires the external evaluation degree. You may add the external evaluation degree.

  The evaluation unit 260 evaluates the content. The evaluation unit 260 includes a content extraction unit 262, a processing level acquisition unit 266, an external evaluation level acquisition unit 268, an evaluation level calculation unit 270, an evaluation level registration unit 272, a reward amount calculation unit 274, and a reward amount registration unit 276.

  The content extraction unit 262 extracts the content registered in the storage unit 280 from the storage unit 280. Specifically, the content extraction unit 262 extracts, from the storage unit 280, processed content that is content to be evaluated from among the content registered in the storage unit 280. The content extraction unit 262 may extract the content before processing from the storage unit 280 as the evaluation target content among the contents registered in the storage unit 280.

  The content extraction unit 262 further extracts, from the storage unit 280, the content before processing associated with the content to be evaluated among the content registered in the storage unit 280. Instead, the content extraction unit 262 may extract the processing history associated with the content to be evaluated from the storage unit 280 among the processing histories registered in the storage unit 280.

  The processing level acquisition unit 266 acquires a processing level indicating the level of content processed by the content processor. For example, the processing degree acquisition unit 266 compares the content before processing extracted from the storage unit 280 with the content after processing extracted from the storage unit 280, thereby obtaining the content before processing and the content after processing. And the degree of processing is calculated based on the calculated difference. Instead, the processing level acquisition unit 266 calculates the difference between the content before processing and the content after processing from the processing history extracted from the storage unit 280, and calculates the processing level based on the calculated difference. May be. In any case, the processing level acquisition unit 266 may calculate the processing level higher as the difference between the content before processing and the content after processing increases. In addition, the processing history calculated beforehand may be recorded on the processing history. In this case, the processing level acquisition unit 266 may acquire the processing level recorded in the processing history without calculating the processing level.

  The external evaluation level acquisition unit 268 acquires the external evaluation level for the content to be evaluated. Specifically, the external evaluation level acquisition unit 268 acquires the external evaluation level associated with the content to be evaluated from the storage unit 280. The external evaluation level acquisition unit 268 may acquire the external evaluation level directly from the external evaluation level reception unit 242.

  The evaluation level calculation unit 270 calculates the evaluation level of the content to be evaluated. Specifically, the evaluation level calculation unit 270 calculates the evaluation level of the content to be evaluated based on the processing level acquired by the processing level acquisition unit 266. For example, the evaluation level calculation unit 270 refers to the evaluation level reference information stored in the storage unit 280 and acquires the evaluation level associated with the processing level acquired by the processing level acquisition unit 266. For example, in the evaluation degree reference information, the degree of processing and the degree of evaluation are shown in association with each degree of processing. The evaluation degree calculation unit 270 may calculate the evaluation degree using the processing degree acquired by the processing degree acquisition unit 266 and a predetermined mathematical formula. The evaluation degree calculation unit 270 may calculate the evaluation degree of the content to be evaluated higher as the processing degree acquired by the processing degree acquisition unit 266 is higher.

  The evaluation degree calculation unit 270 may calculate the evaluation degree of the content to be evaluated based on the processing degree acquired by the processing degree acquisition unit 266 and the external evaluation degree acquired by the external evaluation degree acquisition unit 268. Good. In this case, the higher the processing level acquired by the processing level acquisition unit 266, the higher the processing level acquired by the processing level acquisition unit 266, the higher the evaluation level of the content to be evaluated, and the external level acquired by the external evaluation level acquisition unit 268. The higher the evaluation level, the higher the evaluation level of the content to be evaluated. For example, the evaluation degree calculation unit 270 calculates the evaluation degree of the content to be evaluated based on the degree of processing acquired by the processing degree acquisition unit 266, and then calculates the external evaluation degree acquisition unit 268 for the calculated evaluation degree. The external evaluation degree obtained by the above may be added or multiplied.

  The process level acquisition unit 266 may acquire the process level for each attribute of the content to be evaluated. In this case, the evaluation level calculation unit 270 may calculate the evaluation level for each attribute of the content to be evaluated. Furthermore, the evaluation degree calculation unit 270 may calculate the evaluation degree of the content to be evaluated using the calculated evaluation degree of each attribute.

  The external evaluation degree acquisition unit 268 may acquire a plurality of external evaluation degrees associated with the content to be evaluated from the storage unit 280. In this case, the evaluation degree calculation unit 270 determines the evaluation degree of the content to be evaluated based on the processing degree acquired by the processing degree acquisition unit 266 and the plurality of external evaluation degrees acquired by the external evaluation degree acquisition unit 268. May be calculated. For example, the evaluation degree calculation unit 270 is based on the processing degree acquired by the processing degree acquisition unit 266 and the average value or total value of the plurality of external evaluation degrees acquired by the external evaluation degree acquisition unit 268. The degree of evaluation of the content may be calculated.

  The evaluation degree registration unit 272 registers the evaluation degree calculated by the evaluation degree calculation unit 270 in the storage unit 280. For example, the evaluation degree registration unit 272 registers the evaluation degree calculated by the evaluation degree calculation unit 270 in the storage unit 280 in association with the content to be evaluated.

  The reward amount calculation unit 274 calculates a reward amount for the content creator or content processor of the content to be evaluated according to the evaluation degree calculated by the evaluation degree calculation unit 270. For example, the remuneration amount calculation unit 274 calculates a higher remuneration amount for the content creator or content processor of the content to be evaluated as the evaluation degree calculated by the evaluation degree calculation unit 270 is higher. The remuneration amount calculation unit 274 may calculate a remuneration amount for the content creator or content processor of the content to be evaluated in accordance with the purchase amount of the content to be evaluated. For example, the remuneration amount calculation unit 274 may calculate a higher remuneration amount for the content creator or content processor of the evaluation target content as the purchase amount of the evaluation target content is higher.

  When the processed content is processed by a plurality of content processors, the reward amount calculation unit 274 is based on the plurality of evaluation degrees calculated by the evaluation degree calculation unit 270 for each of the plurality of content processors. The amount of reward for each content processor may be calculated. In this case, the plurality of content processors may include content creators. The reward amount calculation unit 274 may calculate a dividend rate instead of calculating the reward amount.

  As a specific example, when a certain content is purchased, the evaluation degree when the content is created by the content creator is “20”, and the evaluation degree when the content is processed by the first content processor Is “30” and the evaluation degree when processed by the second content processor is “50”, the reward amount calculation unit 274 calculates the formula (purchase amount × (evaluation degree / total evaluation degree). ) = Reward amount), 20% of the purchase amount is the reward amount for the content creator, 30% of the purchase amount is the reward amount for the first content processor, 50% may be calculated as a reward amount for the second content processor. As another example, the reward amount calculation unit 274 uses the formula (purchase amount × (evaluation amount increase / total increase amount) = reward amount) to calculate 40% of the purchase amount as content. Even if it is calculated as a reward for the creator, 20% of the purchase amount is a reward for the first content processor, and 40% of the purchase amount is calculated as a reward for the second content processor Good.

  The reward amount registration unit 276 registers a plurality of reward amounts calculated by the reward amount calculation unit 274 in the storage unit 280. Specifically, the reward amount registration unit 276 registers the reward amount calculated by the reward amount calculation unit 274 in the storage unit 280 in association with the content creator or the content processor. When the remuneration amount calculation unit 274 calculates remuneration amounts for the plurality of content processors, the remuneration amount registration unit 276 assigns each of the remuneration amounts calculated by the remuneration amount calculation unit 274 to the corresponding content processor. The information may be registered in the storage unit 280 in association with each other.

  The content distribution server 100 may distribute and evaluate the content material. For example, the content acquisition unit 202 may acquire content material. Further, the content registration unit 204 may register the content material in the storage unit 280. Further, the processing history acquisition unit 206 may acquire the processing history of the content material. The processing history registration unit 208 may register the processing history of the content material in the storage unit 280.

  Further, the distribution request acquisition unit 222 may acquire a distribution request for content material. The distribution content extraction unit 224 may extract the content material requested for distribution from the storage unit 280. Further, the distribution unit 226 may distribute the content material.

  Further, the external evaluation level receiving unit 242 may acquire the external evaluation level of the content material. Further, the external evaluation degree registration unit 244 may register the external evaluation degree of the content material in the storage unit 280.

  Further, the content extraction unit 262 may extract the content material registered in the storage unit 280 from the storage unit 280 as the content material to be evaluated. The processing level acquisition unit 266 may acquire the processing level of the content material to be evaluated. Further, the external evaluation level acquisition unit 268 may acquire the external evaluation level for the content material to be evaluated. Further, the evaluation level calculation unit 270 may calculate the evaluation level of the content material to be evaluated. The evaluation degree registration unit 272 may register the evaluation degree of the content material to be evaluated in the storage unit 280.

  Further, the reward amount calculation unit 274 may calculate a reward amount for the content creator or content processor of the content material to be evaluated according to the evaluation degree of the content material to be evaluated.

  The content distribution server 100 may evaluate each of a plurality of contents included in the content. For example, the processing history acquisition unit 206 may acquire the processing history of each of the plurality of content materials. Further, the processing history registration unit 208 may register the processing history of each of the plurality of content materials in the storage unit 280.

  Further, the external evaluation level receiving unit 242 may acquire the external evaluation level of each of the plurality of content materials. Further, the external evaluation level registration unit 244 may register the external evaluation level of each of the plurality of content materials in the storage unit 280.

  Further, the processing level acquisition unit 266 may acquire the processing level of each of a plurality of content materials included in the content to be evaluated. In this case, the evaluation level calculation unit 270 may calculate the evaluation level of each of the plurality of content materials.

  Further, the evaluation level calculation unit 270 may calculate the evaluation level of each of the plurality of content materials based on the external evaluation level of the content to be evaluated. For example, the evaluation degree calculation unit 270 may add or multiply the external evaluation degree of the content to be evaluated to the respective evaluation degrees of the plurality of content materials.

  The external evaluation level acquisition unit 268 may acquire the external evaluation level of each of the plurality of content materials. In this case, the evaluation degree calculation unit 270 may calculate the evaluation degrees of the plurality of content materials based further on the external evaluation degrees of the plurality of content materials. For example, the evaluation degree calculation unit 270 may add or multiply the external evaluation degrees of the plurality of content materials to the evaluation degrees of the plurality of content materials.

  Furthermore, the evaluation level calculation unit 270 may calculate the evaluation level of the content to be evaluated using the evaluation levels of the plurality of content materials. For example, the evaluation degree calculation unit 270 may calculate the evaluation degree of the content to be evaluated by adding or multiplying the evaluation degrees of the plurality of content materials.

  The content distribution server 100 may output various data stored in the storage unit 280. For example, the content distribution server 100 may display or print various data stored in the storage unit 280. Further, for example, the content distribution server 100 may transmit various data stored in the storage unit 280 to an external information processing apparatus. For example, the content distribution server 100 may transmit the information stored in the storage unit 280 to the mobile phone in response to a request or periodically. In this case, the mobile phone may display or print information received from the content distribution server 100. When the content distribution system 10 further includes a content management terminal, the content distribution server 100 may transmit the information stored in the storage unit 280 to the content management terminal in response to a request or periodically. Good. In this case, the content management terminal may display or print information received from the content distribution server 100.

  FIG. 3 shows an example of information stored in the storage unit 280. A plurality of contents are registered in the storage unit 280 by the content registration unit 204. For example, “content 0001-00.jpg” and “content 0001-01.jpg” are registered in the storage unit 280 shown in FIG.

  Each content includes content information. For example, in the example illustrated in FIG. 3, each content includes “content ID”, “level”, “creator”, and “price” as content information. “Level” indicates a parent-child relationship between contents. For example, in the example illustrated in FIG. 3, “content” is set to “0” for “content 0001-00.jpg”, and “1” is set to “level” for “content 0001-01.jpg”. Is set. This indicates that “content 0001-00.jpg” is a newly registered content. Further, “content 0001-01.jpg” is shown to be a processed content obtained by processing “content 0001-00.jpg”.

  The content information may further include information indicating the type of content. The content information may further include basic information such as a file type, a file size, whether or not compression is performed, a compression rate, a compression type, watermark information, and an encryption type. In addition, the content information may further include copyright information such as a former rights holder name, a songwriter name, a composer name, a director name, a photographer name, a producer name, a programmer name, and a rights registration date.

  The storage unit 280 registers a plurality of pieces of evaluation information corresponding to a plurality of contents. Each piece of evaluation information includes “external evaluation degree” and “evaluation degree”. In the “external evaluation degree”, the external evaluation degree from the content evaluator is registered by the external evaluation degree registration unit 244. In the “evaluation degree”, the evaluation degree calculated by the evaluation degree calculation unit 270 is registered by the evaluation degree registration unit 272. In the “external evaluation degree”, a plurality of external evaluation degrees for one content may be registered.

  In the storage unit 280, a plurality of processing histories are registered by the processing history registration unit 208 corresponding to a plurality of contents. For example, in the example illustrated in FIG. 3, a processing history indicating a difference between “content 0001-00.jpg” and “content 0001-01.jpg” is registered in association with “content 0001-01.jpg”. Yes. On the other hand, since “content 0001-00.jpg” is a newly created content, no processing history is registered. Note that the processing history registration unit 208 may register the processing history in the storage unit 280 for the newly created content.

  The processing level acquisition unit 266 compares the content before processing stored in the storage unit 280 with the content after processing stored in the storage unit 280, and processes the content after processing based on the difference. Calculate the degree. For example, the processing level acquisition unit 266 compares “content 0001-00.jpg” with “content 0001-01.jpg” and determines the processing level of “content 0001-00.jpg” based on the difference. calculate.

  The processing level acquisition unit 266 may calculate the processing level of the content after processing based on the processing history stored in the storage unit 280. For example, the processing level acquisition unit 266 may calculate the processing level of “content 0001-01.jpg” based on the processing history associated with “content 0001-01.jpg”.

  The processing level acquisition unit 266 may calculate the processing level of the content after processing based on the external evaluation level stored in the storage unit 280. For example, the processing level acquisition unit 266 may calculate the processing level of “content 0001-01.jpg” further based on the external evaluation level “+5” associated with “content 0001-01.jpg”. Good.

  FIG. 4 shows an example of user information stored in the storage unit 280. A plurality of pieces of user information are registered in the storage unit 280 corresponding to a plurality of users. Each user information includes “user ID” and “user basic information”. In the “user basic information”, information such as an e-mail address, name, and region is registered. For example, “user ID” and “user basic information” are registered in the storage unit 280 at the time of user registration.

  Each user information includes “sales”. In the “sales”, when content is purchased, information regarding the purchased content is registered in association with each of the user who created the purchased content and the user who processed the purchased content. For example, in the example shown in FIG. 4, the content ID of the purchased content is registered in “Sales”. It should be noted that information such as the purchase date / time of the purchased content, the purchaser, and the number of purchases may be further registered.

  Each user information includes a “reward amount”. In the “reward amount”, when the content is purchased, the reward amount calculated by the reward amount calculation unit 274 is associated with each of the user who created the purchased content and the user who processed the purchased content. The fee is registered by the reward registration unit 276.

  For example, in the example shown in FIG. 4, when “content 0001-00” with a price of 350 yen is purchased, “350 yen” is registered in “reward amount” of “user 0001” who is the creator of the content. Has been. Further, by purchasing “content 0001-01” with a price of 500 yen, “200 yen” is registered in the “reward amount” of “user 0001” who is the creator of the content, and the content processor “300 yen” is registered in “reward amount” of “user 0002”.

  5 and 6 show an example of the evaluation level reference information stored in the storage unit 280. FIG. In the evaluation level reference information, an evaluation level corresponding to the processing level is defined for each of the plurality of attributes.

  In the evaluation level reference information, the evaluation level is defined for attributes that can be determined by numbers. For example, in the example shown in FIG. 5, the evaluation criterion information includes “size”, “small”, “number of materials”, “number of gradations”, “number of material types” as attributes that can be determined by numbers. ”,“ Animation ”,“ layer ”,“ motif ”,“ color ”, and“ speed ”are defined.

  The “size” is an attribute indicating the size of the content indicated by the number of pixels, for example, and the evaluation level calculation unit 270 is given a higher evaluation level as the size of the content is larger. “Small” is an attribute indicating the size of the content indicated by the number of pixels, for example, and the evaluation level calculation unit 270 calculates a higher evaluation level as the size of the content is smaller. The “number of materials” is an attribute indicating the number of content materials used in the content, and the evaluation level calculation unit 270 calculates a higher evaluation level as the number of content materials used in the content is larger. The “gradation number” is an attribute indicating the number of gradations used in the content, and the evaluation level calculation unit 270 calculates a higher evaluation level as the number of gradations used in the content increases.

  The “number of material types” is an attribute indicating the number of types of content materials used for content, and the evaluation degree calculation unit 270 increases the evaluation as the number of types of content materials used for content increases. Calculate the degree. “Animation” is an attribute indicating the number of animations used in the content, and the evaluation level calculation unit 270 calculates a higher evaluation level as the number of animations used in the content increases. The “layer” is an attribute indicating the number of layers of layers used in the content, and the evaluation level calculation unit 270 calculates a higher evaluation level as the number of layers of layers used in the content increases. .

  “Motif” is an attribute indicating the number of motifs used in the content, and the evaluation level calculation unit 270 calculates a higher evaluation level as the number of motifs used in the content increases. “Color” is an attribute indicating the number of colors used in the content, and the evaluation level calculation unit 270 calculates a higher evaluation level as the number of colors used in the content increases. “Speed” is an attribute indicating a period from when the content processor acquires the content before processing until generation of the processed content, and the evaluation degree calculation unit 270 determines whether the content processor has processed the content before processing. The shorter the period from the acquisition of the content to the generation of the processed content, the higher the degree of evaluation is calculated.

  As described above, for the attributes that can be determined by the number, the evaluation degree calculation unit 270 determines the evaluation degree criterion based on the difference between the attribute value of the content before processing and the attribute value of the content after processing. The evaluation degree may be calculated from the information. For example, when the “number of materials” of the content before processing is “1” and the “number of materials” of the content after processing is “3”, the evaluation degree calculation unit 270 has “2” as the “number of materials”. The point “1” associated with “” may be calculated as the evaluation degree given to the processed content.

  As another example, the evaluation degree calculation unit 270 may calculate the evaluation degree from the evaluation degree reference information based on the attribute value of the processed content. For example, when the “number of materials” of the content before processing is “1” and the “number of materials” of the content after processing is “3”, the evaluation degree calculation unit 270 sets the “number of materials” to “3”. The point “2” associated with “” may be calculated as an evaluation degree given to the processed content.

  In addition, in the evaluation level reference information, an evaluation level is defined for an attribute that can be determined by a ratio. For example, in the example shown in FIG. 6, the evaluation standard information includes “lightness”, “saturation”, “arrangement”, “transparency”, “complementary color”, “realism”, “sharpness” as content attributes. "," Softness ", and" degree of change "are defined as evaluation degrees.

  “Brightness” is an attribute indicating the ratio of the brightness of the processed content with respect to the reference value, and the evaluation level calculation unit 270 calculates a higher evaluation level as the ratio is higher. “Saturation” is an attribute indicating the ratio of the saturation of the processed content with respect to the reference value, and the evaluation degree calculation unit 270 calculates a higher evaluation degree as the ratio is higher. “Arrangement” is an attribute indicating the ratio of content materials arranged in an area having a predetermined ratio, and the evaluation degree calculation unit 270 calculates a higher evaluation degree as the ratio is higher. . For example, the evaluation degree calculation unit 270 calculates a higher evaluation degree as the ratio of content materials arranged in an area having the ratio 1: 1.618 is higher.

  “Transmittance” is an attribute indicating the ratio of the transmittance of the processed content with respect to the reference value, and the evaluation degree calculation unit 270 calculates a higher evaluation degree as the ratio is higher. The “complementary color” is an attribute indicating the ratio of the usage of the complementary color of the processed content with respect to the reference value, and the evaluation degree calculation unit 270 calculates a higher evaluation degree as the ratio is higher. The “real degree” is an attribute indicating the fidelity of the processed content with respect to the reference image, and the evaluation degree calculation unit 270 calculates a higher evaluation degree as the fidelity is higher. The “sharpness” is an attribute indicating the ratio of the sharpness of the processed content with respect to the reference image, and the evaluation degree calculation unit 270 calculates a higher evaluation degree as the ratio is higher. “Softness” is an attribute indicating the ratio of the softness of the processed content with respect to the reference image, and the evaluation degree calculation unit 270 calculates a higher evaluation degree as the ratio is higher. The “degree of change” is an attribute indicating the ratio of the degree of conversion of the processed content with respect to the reference image, and the evaluation degree calculation unit 270 calculates a higher evaluation degree as the ratio is higher.

  Among the above attributes, for the attribute that calculates the evaluation degree using the reference value, the evaluation degree calculation unit 270 may calculate the evaluation degree using a predetermined value as the reference value, and the content before processing The degree of evaluation may be calculated using the attribute value as a reference value. For the attribute for calculating the evaluation degree using the reference image, the evaluation degree calculation unit 270 may calculate the evaluation degree using a predetermined image as the reference image, and the content before processing is used as the reference image. As such, the evaluation degree may be calculated.

  The evaluation degree calculation unit 270 calculates the evaluation degree by inverting the relationship between the attribute value and the evaluation degree indicated in the evaluation degree reference information according to the external evaluation degree associated with the processed content. May be. For example, in the evaluation standard information shown in FIG. 5, it is shown that the higher the number of content materials used for content, the higher the evaluation is calculated. However, the external evaluation is a predetermined value. If the value is lower, the evaluation degree calculation unit 270 calculates the lower evaluation degree as the number of content materials used in the content is larger, and the relationship between the attribute value indicated in the evaluation degree reference information and the evaluation degree. The degree of evaluation may be calculated by inverting.

  FIG. 7 shows an example of the processing flow by the content distribution server 100. FIG. 7 shows an example of processing for registering content in the storage unit 280.

  First, the content acquisition unit 202 acquires content (S702). Next, the content registration unit 204 determines whether or not the content acquired in S702 has been newly created (S704). For example, the content acquired in S702 is associated with identification information that can identify whether or not the content is newly created, and the content registration unit 204 performs S702 based on the identification information. It is determined whether or not the content acquired in step 1 is newly created.

  If it is determined in S704 that the content is newly created (S704: Yes), the content registration unit 204 newly registers the content acquired in S702 in the storage unit 280 (S706). Then, the content distribution server 100 ends the process.

  On the other hand, if it is determined in S704 that the content is not newly created (S704: No), the content registration unit 204 registers the content acquired in S702 in the storage unit 280 in association with the content before processing ( S708). Then, the processing history acquisition unit 206 acquires the processing history of the content acquired in S702 (S710).

  Further, the processing history registration unit 208 registers the processing history acquired in S710 in the storage unit 280 in association with the content acquired in S702 (S712). Then, the content distribution server 100 ends the process.

  FIG. 8 shows another example of the processing flow by the content distribution server 100. FIG. 8 shows an example of processing for evaluating content after the content is distributed.

  First, the distribution request acquisition unit 222 acquires a content distribution request (S802). Next, the distribution content extraction unit 224 extracts the content requested for distribution from the storage unit 280 based on the distribution request acquired in S802 (S804). Then, the distribution unit 226 distributes the content extracted from the storage unit 280 in S804 (S806).

  Next, the external evaluation degree receiving unit 242 acquires the external evaluation degree for the content distributed in S806 (S812). Then, the external evaluation degree registration unit 244 registers the external evaluation degree acquired in S812 in the storage unit 280 in association with the content distributed in S806 (S814).

  Next, the content extraction unit 262 extracts the content to be evaluated from the storage unit 280 (S822). Next, the content extraction unit 262 extracts the unprocessed content associated with the evaluation target content from the storage unit 280 (S824). Instead, the content extraction unit 262 may extract the processing history associated with the content to be evaluated from the storage unit 280.

  Next, the processing level acquisition unit 266 compares the content extracted in S824 with the content to be evaluated, and calculates the processing level of the content to be evaluated based on the difference (S826). When the processing history is extracted in S824, the processing level acquisition unit 266 may calculate the processing level of the content to be evaluated based on the processing history extracted in S824.

  Next, the external evaluation level acquisition unit 268 acquires the external evaluation level associated with the content to be evaluated from the storage unit 280 (S828). Next, the evaluation degree calculation unit 270 calculates the evaluation degree of the content to be evaluated based on the degree of processing calculated in S826 and the external evaluation degree acquired in S828 (S830). Then, the evaluation degree registration unit 272 registers the evaluation degree calculated in S830 in the storage unit 280 in association with the content to be evaluated (S832).

  Next, the remuneration amount calculation unit 274 calculates remuneration amounts for a plurality of content processors according to the evaluation degree calculated in S832 (S834). Next, the reward amount registration unit 276 registers each of the plurality of reward amounts calculated in S834 in the storage unit 280 in association with the corresponding content processor (S836). Then, the content distribution server 100 ends the process.

  The content distribution server 100 may execute part or all of the series of processes illustrated in FIG. 8 not only in the procedure illustrated in FIG. 8 but also once or repeatedly at a predetermined timing. For example, the content distribution server 100 may acquire the external evaluation degree even when content is not purchased (distributed). In addition, each time the content distribution server 100 acquires the external evaluation degree, the content distribution server 100 may calculate the evaluation degree of the content for which the external evaluation degree is acquired, and update the evaluation degree already registered in the storage unit 280. The content distribution server 100 may calculate the evaluation level of the registered content every time the content is registered, and register the calculated evaluation level in the storage unit 280. Further, each time content is purchased, the content distribution server 100 may calculate a reward amount using the evaluation degree acquired from the storage unit 280, and may register the calculated reward amount in the storage unit 280.

  9 and 10 show an example of content registered in the storage unit 280. FIG. An image 900 shown in FIG. 9 shows an example of content before being processed by a content processor. An image 1000 illustrated in FIG. 10 illustrates an example of content processed by a content processor.

  The image 1000 is different from the image 900 in that a content material 1010 and a content material 1020 are added. For example, the processing degree acquisition unit 266 calculates “2” as the processing degree of “number of materials”. Then, the evaluation degree calculation unit 270 calculates the point “1” that is the evaluation degree associated with the processing degree “2” of the “number of materials” with reference to the evaluation degree reference information illustrated in FIG. To do. Here, the processing level acquisition unit 266 may calculate the processing level by comparing the image 900 and the image 1000. From the processing history registered in the storage unit 280 in association with the image 1000, The degree of processing may be calculated.

  Similarly, the processing level acquisition unit 266 calculates the processing level for each of the other attributes, and the evaluation level calculation unit 270 calculates the evaluation level for each of the other attributes. Then, the evaluation degree calculation unit 270 further calculates the evaluation degree of the image 1000 using the calculated evaluation degree of each attribute. For example, the evaluation degree calculation unit 270 may calculate a total value of the calculated evaluation degrees of each attribute as the evaluation degree of the image 1000.

  The evaluation degree calculation unit 270 may increase or decrease the calculated evaluation degree of each attribute. For example, the evaluation level calculation unit 270 may increase or decrease the calculated evaluation level of each attribute using an external evaluation level associated with the image 1000. As an example, the evaluation degree calculation unit 270 may add or multiply the external evaluation degree to the calculated evaluation degree of each attribute. In another example, when the external evaluation degree associated with the image 1000 is higher than a predetermined value, the evaluation degree calculation unit 270 calculates the external evaluation degree for the calculated evaluation degree of each attribute. May be added or multiplied. On the contrary, when the external evaluation degree is lower than a predetermined value, the evaluation degree calculating unit 270 may subtract or divide the external evaluation degree from the calculated evaluation degree of each attribute. In these cases, the evaluation degree calculation unit 270 may use the external evaluation degree of the image 1000 to increase or decrease the calculated evaluation degree of each attribute, and each external content of the plurality of content materials included in the image 1000 may be increased or decreased. The degree of evaluation of each attribute calculated may be increased or decreased using the degree of evaluation.

  The evaluation degree calculation unit 270 may increase or decrease the calculated evaluation degree of the image 1000. For example, the evaluation level calculation unit 270 may increase or decrease the calculated evaluation level of the image 1000 using an external evaluation level associated with the image 1000. For example, the evaluation degree calculation unit 270 may add or multiply the external evaluation degree to the calculated evaluation degree of the image 1000. In another example, when the external evaluation degree is higher than a predetermined value, the evaluation degree calculating unit 270 may add or multiply the external evaluation degree to the calculated evaluation degree of the image 1000. Good. On the contrary, when the external evaluation degree is lower than a predetermined value, the evaluation degree calculating unit 270 may subtract or divide the external evaluation degree from the calculated evaluation degree of the image 1000. In these cases, the evaluation degree calculation unit 270 may increase or decrease the evaluation degree of the calculated image 1000 using the external evaluation degree of the image 1000, and each external content of the plurality of content materials included in the image 1000 may be increased or decreased. The degree of evaluation of the calculated image 1000 may be increased or decreased using the degree of evaluation.

  As described above, according to the content distribution server 100 of the present embodiment, the processing level of the processed content is calculated, and the evaluation level of the processed content is calculated according to the calculated processing level. For this reason, it is possible not only to give the content only an evaluation as a finished product, but also to give the content an evaluation for processing applied to the content. Therefore, an appropriate evaluation can be given to the processed content.

  Moreover, according to the content distribution server 100 of this embodiment, a higher evaluation is given, so that the processing degree of the content after a process is high. For this reason, more evaluation can be given with respect to the content by which many processes were given. Therefore, an appropriate evaluation can be given to the processed content.

  Further, according to the content distribution server 100 of the present embodiment, the content distribution server 100 acquires the external evaluation degree for the processed content, and the processed content based on the content processing degree and the external evaluation degree The evaluation degree is calculated. In particular, the content distribution server 100 calculates a higher evaluation level of the processed content as the content processing level is higher, and calculates a higher evaluation level of the processed content as the external evaluation level is higher. For this reason, more evaluation is not given to content that has undergone more processing, but more evaluation is given to content that has undergone more processing to improve external evaluation. be able to. Therefore, an appropriate evaluation can be given to the processed content.

  Further, according to the content distribution server 100 of the present embodiment, the higher the calculated evaluation degree, the higher the amount of reward for the content processor. As a result, an appropriate amount of reward based on an appropriate evaluation can be given to the content processor. Further, according to the content distribution server 100 of the present embodiment, when the content is processed by a plurality of content processors, the remuneration amounts for the plurality of content processors are respectively calculated. Accordingly, an appropriate amount of reward can be given to each of the plurality of content processors according to the content processing level.

  Further, according to the content distribution server 100 of the present embodiment, the difference between the content before processing and the content after processing is calculated by comparing the content before processing with the content after processing or from the processing history. The degree of processing is calculated higher as the difference is larger. Thereby, the processing degree can be calculated with high accuracy. Therefore, an appropriate evaluation can be given to the processed content.

  FIG. 11 shows an example of the hardware configuration of the content distribution server 100. The content distribution server 100 includes a CPU 1505, a RAM 1520, a graphic controller 1575, and a display device 1580 that are mutually connected by a host controller 1582. The content distribution server 100 also includes a communication I / F 290, a ROM 1510, a hard disk drive 1540, and an external memory drive 1560 that are connected to a host controller 1582 by an I / O (input / output) controller 1584.

  The CPU 1505 operates based on a program stored in the ROM 1510, the RAM 1520, or the hard disk drive 1540, and controls each hardware included in the content distribution server 100. The graphic controller 1575 displays the image data acquired from the RAM 1520 or the like on the display device 1580.

  The I / O (input / output) controller 1584 further connects input / output devices such as a mouse and a keyboard. The communication I / F 290 provides a program or data received from the outside via a network to the ROM 1510, the RAM 1520, or the hard disk drive 1540. The ROM 1510 stores a boot program executed by the CPU 1505 when the content distribution server 100 is started, a program depending on the hardware of the content distribution server 100, and the like.

  The hard disk drive 1540 stores programs and data used by the CPU 1505. The external memory drive 1560 provides the program or data read from the external memory 1595 to the ROM 1510, the RAM 1520, or the hard disk drive 1540.

  The CPU 1505 causes the content distribution server 100 to function as the registration unit 200, the distribution unit 220, and the evaluation unit 260 by executing a program stored in the ROM 1510, the RAM 1520, or the hard disk drive 1540. The program executed by the CPU 1505 may be provided by being stored in a recording medium such as the external memory 1595 or may be provided from an external information processing apparatus via a network. Storage unit 280 may be realized by any of ROM 1510, RAM 1520, hard disk drive 1540, and external memory 1595 provided in content distribution server 100, or may be realized by a recording medium provided in an external information processing apparatus.

  As mentioned above, although this invention was demonstrated using embodiment, the technical scope of this invention is not limited to the range as described in the said embodiment. It will be apparent to those skilled in the art that various modifications or improvements can be added to the above-described embodiment. It is apparent from the scope of the claims that the embodiments added with such changes or improvements can be included in the technical scope of the present invention.

  The order of execution of each process such as operations, procedures, steps, and stages in the apparatus, system, program, and method shown in the claims, the description, and the drawings is particularly “before” or “prior to”. It should be noted that the output can be realized in any order unless the output of the previous process is used in the subsequent process. Regarding the operation flow in the claims, the description, and the drawings, even if it is described using “first”, “next”, etc. for convenience, it means that it is essential to carry out in this order. It is not a thing.

1 shows an example of a content distribution system 10 according to an embodiment. An example of a functional structure of the content distribution server 100 is shown. An example of the information memorize | stored in the memory | storage part 280 is shown. An example of the user information memorize | stored in the memory | storage part 280 is shown. An example of the evaluation standard information stored in the storage unit 280 is shown. An example of the evaluation standard information stored in the storage unit 280 is shown. An example of the flow of processing by the content distribution server 100 is shown. Another example of the flow of processing by the content distribution server 100 is shown. An example of the content registered in the storage unit 280 is shown. An example of the content registered in the storage unit 280 is shown. An example of the hardware constitutions of the content delivery server 100 is shown.

Explanation of symbols

DESCRIPTION OF SYMBOLS 10 Content distribution system 100 Content distribution server 121 Cellular phone 122 Cellular phone 123 Cellular phone 130 Network 200 Registration unit 202 Content acquisition unit 204 Content registration unit 206 Processing history acquisition unit 208 Processing history registration unit 220 Distribution unit 222 Distribution request acquisition unit 224 Distribution Content extraction unit 226 Distribution unit 242 External evaluation level receiving unit 244 External evaluation level registration unit 260 Evaluation unit 262 Content extraction unit 266 Processing level acquisition unit 268 External evaluation level acquisition unit 270 Evaluation level calculation unit 272 Evaluation level registration unit 274 Compensation amount calculation Part 276 reward registration part 280 storage part 290 communication I / F
900 images 1000 images 1010 content material 1020 content material 1505 CPU
1510 ROM
1520 RAM
1540 Hard disk drive 1560 External memory drive 1575 Graphic controller 1580 Display device 1582 Host controller 1584 I / O controller 1595 External memory

Claims (13)

A content evaluation method for evaluating processed content processed by a content processor,
A processing level acquisition step of acquiring a processing level indicating the level of processing of the content by the content processor;
A content evaluation method comprising: an evaluation degree calculating step of calculating an evaluation degree of the content after the processing based on the processing degree acquired by the processing degree acquisition step.   The content evaluation method according to claim 1, wherein the evaluation degree calculation step calculates the evaluation degree higher as the processing degree is higher. An external evaluation degree acquisition step of acquiring an external evaluation degree that is an evaluation degree from a content evaluator for the content after the processing;
The content evaluation method according to claim 1, wherein the evaluation degree calculation stage calculates the evaluation degree of the content after the processing based on the processing degree of the content and the external evaluation degree.   The evaluation degree calculation step calculates the evaluation degree of the content after processing higher as the processing degree is higher, and calculates the evaluation degree of the content after processing as the external evaluation degree is higher. The content evaluation method according to claim 3, wherein the content evaluation method calculates higher. The remuneration amount calculation step of calculating a remuneration amount higher for the content processor as the evaluation degree calculated in the evaluation degree calculation step is higher. Content evaluation method. When the content is processed by a plurality of content processors, a reward for the plurality of content processors is calculated based on the plurality of evaluation degrees calculated by the evaluation degree calculation step for each of the plurality of content processors. The content evaluation method according to any one of claims 1 to 5, further comprising a remuneration amount calculation step of calculating amounts respectively. A content registration step of registering the content before processing and the content after processing in the storage unit;
7. The processing degree acquisition step compares the content before processing and the content after processing registered in the storage unit, and calculates the processing degree higher as the difference is larger. The content evaluation method described in Crab. A content registration stage for registering the content before processing and the content after processing in the storage unit;
A processing history registration step of registering a processing history processed by the content processor in the storage unit;
The processing degree acquisition step calculates a difference between the content before processing and the content after processing stored in the storage unit from the processing history registered in the storage unit. The content evaluation method according to claim 1, wherein the value is calculated to be high. A content evaluation method for evaluating processed content material processed by a content processor,
A processing level acquisition step of acquiring a processing level indicating a level of processing of the content material by the content processor;
A content evaluation method comprising: an evaluation degree calculation step of calculating an evaluation degree of the content material after the processing based on the processing degree acquired by the processing degree acquisition step. A content evaluation device for evaluating processed content processed by a content processor,
A processing level acquisition unit that acquires a processing level indicating the level of processing of the content by the content processor;
A content evaluation apparatus comprising: an evaluation degree calculation unit that calculates an evaluation degree of the content after the processing based on the processing degree acquired by the processing degree acquisition unit. A content evaluation device for evaluating processed content material processed by a content processor,
A processing level acquisition unit that acquires a processing level indicating the level of processing of the content material by the content processor;
A content evaluation apparatus comprising: an evaluation degree calculation unit that calculates an evaluation degree of the content material after the processing based on the processing degree acquired by the processing degree acquisition unit. A program for a content evaluation apparatus for evaluating processed content processed by a content processor, the computer comprising:
A processing degree acquisition unit for acquiring a processing degree indicating a degree of processing of the content by the content processor;
A program that functions as an evaluation level calculation unit that calculates an evaluation level of the content after the processing based on the processing level acquired by the processing level acquisition unit. A program for a content evaluation apparatus that evaluates a processed content material processed by a content processor, the computer,
A processing degree acquisition unit for acquiring a processing degree indicating a degree of processing of the content material by the content processor;
A program that functions as an evaluation level calculation unit that calculates an evaluation level of the content material after processing based on the processing level acquired by the processing level acquisition unit.

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