Abstract: When a scene group including plural scenes, for example a group of scenes bookmarked during viewing of video contents is inputted, a combination of a scene and metadata in a group of metadata that represents characteristics of the scene, corresponding to the respective scenes in the scene group, which combination has a largest distance between the metadata, is selected as explanatory descriptions that are explanations for distinguishing among the scenes, and the selected explanatory descriptions for each scene included in the scene group is added to each scene.

Abstract: A program structuring device includes a play-list collecting unit that collects a play list for a content in which a time series is defined; a first storage unit that stores cutoff points that appear in the play list and are breakpoints of a program structure of the content, in correspondence with a frequency of appearance of each of the cutoff points; a calculating unit that calculates a level of relevance between scene segments defined by the cutoff points from the frequency of appearance of each of the cutoff points; an extracting unit that extracts multi-level chapter divisions based on the level of relevance; and a second storage unit that stores the extracted multi-level chapter divisions structured into a tree form.

Abstract: A keyword outputting apparatus includes a document receiving unit that receives documents in a specific time period. A keywords analyzing unit analyzes the documents for possible keywords. A keyword extracting unit calculates a score for each keyword and extracts the keywords in order of the score. A keyword-structure generating unit generates a keyword structure by classifying and stratifying each extracted keyword. A keyword outputting unit outputs the keywords in descending order of the score based on the keyword structure.

Abstract: An apparatus includes unit acquiring comment information items related to video content, each of the comment information items including a comment, and a start time and an end time of the comment, unit dividing the comment into words by morpheme analysis for each of the comment information items, unit acquiring an estimated value of each of the words, the estimated value indicating a degree of importance used when the scenes are extracted, unit adding the acquired estimated value of each of the words for each of the words during a period of time ranging from the start time to the end time of the comment that contains a corresponding word to acquire estimated value distributions of the words, and unit extracting a start time and an end time of one scene and to be extracted from the video content, based on a shape of the estimated value distributions.

Abstract: A content playback system for playing comments and contents synchronously and efficiently includes an acquisition unit for acquiring comment information including comments attached to playback intervals where there are content items to be played in a predetermined order, and interrelating information interrelating the comments with the content items; a selection unit for selecting one or more comment types from several comment types based on the comment information; a decision unit for making a decision as to whether there is an interrelationship between comments based on the playback intervals of the comments and on the contents themselves; a setting unit for setting the display conditions under which the comments are displayed based on the interrelationship information, on the selected comment types, and according to whether there is an interrelationship; and a playback unit for synchronously playing the comments for which the display conditions have been set and content items corresponding to the comments

Abstract: A context estimation rule is applied to spare time on a user's schedule, and contexts are estimated. On the basis of a task template, an input task is divided into plural subtasks. A task recommendation rule for recommending tasks to do from the relation between contexts and metadata of tasks is applied to the spare time of the user, and tasks to do in the spare time are recommended on the basis of the contexts of the spare time and the metadata of the subtasks. The recommended tasks are managed as schedules.

Abstract: A context recognition unit decides a user's context by comparing context recognition rules to the user's information, and outputs context recognition data based on the user's context. A processing selection unit decides a contents type by comparing processing selection rules to the context recognition data, and outputs contents creation request data based on the contents type. A contents delivery unit obtains contents based on the contents creation request data, and delivers the contents to the user's terminal. A question creation unit creates a question about the contents delivery for the user. Each context recognition rule and each processing selection rule includes a priority degree. The question creation unit specifies the context recognition rule or the processing selection rule based on the user's answer to the question, and changes the priority degree of the specified rule.