Abstract: In an information processing device, an acquisition means acquires a video material. An image recognition means detects an image of a target object from the video material. An event segment detection means detects each event segment in the video material by using a detection result of the image of the target object. A digest video is created by connecting event segments being detected in a time series.

Abstract: In an information processing device, an acquisition means acquires a video material. An important scene detection means detects an important scene in the video material. An event segment detection means detects an event segment in the video material by using a detection result of the important scene.

Abstract: In an information processing device, an acquisition means acquires a plurality of videos including a video material and a digest video. A coincident segment detection means detects each coincident segment where the video material and the digest video match with each other in content. A training data generation means generates training data from the video material based on the coincident segment.

Abstract: A video search apparatus 100 according to the present disclosure includes a search unit 121 configured to use scene information including event information including a plurality of events constituting a video scene and time information indicating a time set for the video scene to set a search range of an event in a target video image based on the time information and also search for the event included in the event information from the target video image within the set search range, and a determination unit 122 configured to determine a video section in the target video image that corresponds to the scene information targeted for the search based on a result of the search for the event.

Abstract: An information processing device 1X mainly includes a slow motion video generation means 16X and a digest candidate generation means 18X. The slow motion video generation means 16X generates a slow motion video SL being video data in which a playback speed of the first candidate video data Cd1 is slower than a normal speed, with respect to first candidate video data Cd1 being video data corresponding to a segment of a portion selected from video material data Dm. Here, the digest candidate generation means 18X generates digest candidate Cd being a candidate of a digest of the video material data Dm based on the video material data Dm and the slow motion video SL.

Abstract: The information processing device mainly includes a reference time determination means 16X, a further camera shot extraction means 17X, and a digest candidate generation means 18X. The reference time determination means 16X determines a reference time Tref being a time or a time period for extracting video data of a second camera different from a first camera, based on candidate video data Cd1 to be a candidate of a digest of a first video material data from the first camera. The further shot extraction means 17X extracts a further camera shot Sh corresponding to a portion of a second video material data from the second camera based on the reference time Tref. The digest candidate generation means 18X generates a digest candidate Cd being a digest for the first and second video material data, based on the candidate video data Cd1 and the further camera shot Sh.

Abstract: The information processing device 1X mainly includes a pair determination means 15X and a relevance degree calculation unit 16X. The pair determination means 15X is configured to determine a pair of data at least one member of which is a first digest candidate that is a candidate of a digest, the data including at least one of video data or audio data. The relevance degree calculation means 16X is configured to calculate a degree of relevance indicating a degree of probability that the pair determined by the pair determination means 15X is included in the digest at a time.

Abstract: An information processing device 1X mainly includes an inference means 15X, an input reception means 16X, and a digest candidate generation means 17X. The inference means 15X acquires an inference result for each inference engine to video material data by a plurality of inference engines which perform respective inferences concerning a degree of importance with respect to video data being input. The input reception means 16X receives an input indicating parameters concerning the inference result for each inference engine. The digest candidate generation means 17X generates a digest candidate which is a candidate of a digest of the video material data, based on the parameters and the inference result for each inference engine.

Abstract: The information processing device 1X mainly includes an input data acquisition means 14X, an importance degree calculation means 15X, and an attention part identification means 16X. The input data acquisition means 14X is configured to acquire input data “Di” including at least one of video data or audio data. The importance degree calculation means 15X is configured to calculate a degree of importance of the input data Di. The attention part identification means 16X is configured to identify an attention part of the input data Di in a calculation of the degree of importance.

Abstract: The video processing device includes a video acquisition means, a person identification means, an importance calculation means, and an importance integration means. The video acquisition means acquires a material video. The person identification means identifies a person from the material video. The importance calculation means calculates an importance of the material video. The importance integration means integrates the importance for each person and outputs a person importance indicating an importance for each person.

Abstract: In a video processing device, a video acquisition means acquires a material video. An importance calculation means calculates importance in the material video using a plurality of models. An importance integration means integrates the importance calculated using the plurality of models. A generation means extracts important scenes in the material video based on the integrated importance and generates a digest video including the extracted important scenes.

Abstract: In the video processing device, the video acquisition means acquires a material video. The audience scene extraction means extracts an audience scene showing an audience from the material video. The important scene extraction means extracts an important scene from the material video. The association means associates the audience scene with the important scene. The generation means generates a digest video including the important scene and the audience scene associated with the important scene.

Abstract: An information processing apparatus generates structural information of a digest video from a video material. In the information processing apparatus, a video acquisition means acquires a video material. A condition acquisition means acquires a generation condition for generating the digest video from the creator. A generation means generates structural information indicating a structure of the digest video that is generated based on the video material based on the generation condition, and outputs the generated structural information.