Abstract: Provided is technology for extracting a person region from an image, that can suppress preparation costs of learning data. Included are a composited learning data generating unit that generates, from already-existing learning data that is a set of an image including a person region and a mask indicating the person region, and a background image to serve as a background of a composited image, composited learning data that is a set of a composited image and a compositing mask indicating a person region in the composited image, and a learning unit that learns model parameters using the composited learning data.

Abstract: A motion classification model learning apparatus that learns a model for early recognizing a motion is provided. A training data acquisition part acquiring training data configured with pairs of video information about a motion that can be classified into any of a plurality of categories according to characteristics of the motion and category information that is a correct label corresponding to the video information; a motion history image generation part generation a motion history image of the video information; and a model learning part learning a model that outputs a label that is the category information, with the motion history image as an input are included.

Abstract: A virtual reality system is provided that includes a video presentation apparatus, the virtual reality system comprising: the video presentation apparatus which includes circuitry configured to: obtain as input a video sequence composed of a plurality of frames and mask information specifying a complementation target region in the video sequence; separate a frame into a foreground region and a background region based on binary images representing differences between the plurality of frames included in the video sequence; determine either one of patch-search-based completion and paste synthesis as a complementation method for the complementation target region based on a number of pixels belonging to the foreground region and located within a given distance from a periphery of the complementation target region; and complement the complementation target region in accordance with the complementation method; and a virtual reality head mounted display which presents the complemented video sequence to the user.

Abstract: Preliminary experience of a match at a player's perspective is enabled. A virtual environment material storage 13 has stored therein virtual environment materials for reproducing a dynamic object and a static object on a virtual environment. A dynamic object sensing unit 11 chronologically measures a position and a posture of the dynamic object in a real environment and generates position and posture information composed of one movement action. A presentation sequence acquisition unit 17 obtains a presentation sequence including position and posture information of a plurality of different kinds of dynamic objects. A virtual environment construction unit 14 synthesizes a virtual environment material of the dynamic object and a virtual environment material of the static object based on the presentation sequence to construct the virtual environment.

Abstract: Preliminary experience of a match at a player's perspective is enabled. A virtual environment material storage 13 has stored therein virtual environment materials for reproducing a dynamic object and a static object on a virtual environment. A dynamic object sensing unit 11 chronologically measures a position and a posture of the dynamic object in a real environment and generates position and posture information composed of one movement action. A presentation sequence acquisition unit 17 obtains a presentation sequence including position and posture information of a plurality of different kinds of dynamic objects. A virtual environment construction unit 14 synthesizes a virtual environment material of the dynamic object and a virtual environment material of the static object based on the presentation sequence to construct the virtual environment.