Aspects of the present disclosure involve a system comprising a storage medium storing a program and method for receiving a video comprising a plurality of video segments; selecting a target action sequence that includes a sequence of action phases; receiving features of each of the video segments; computing, based on the received features, for each of the plurality of video segments, a plurality of action phase confidence scores indicating a likelihood that a given video segment includes a given action phase of the sequence of action phases; identifying a set of consecutive video segments of the plurality of video segments that corresponds to the target action sequence, wherein video segments in the set of consecutive video segments are arranged according to the sequence of action phases; and generating a display of the video that includes the set of consecutive video segments and skips other video segments in the video.

Aspects of the present disclosure involve a system comprising a storage medium storing a program and method for receiving a video comprising a plurality of video segments; selecting a target action sequence that includes a sequence of action phases; receiving features of each of the video segments; computing, based on the received features, for each of the plurality of video segments, a plurality of action phase confidence scores indicating a likelihood that a given video segment includes a given action phase of the sequence of action phases; identifying a set of consecutive video segments of the plurality of video segments that corresponds to the target action sequence, wherein video segments in the set of consecutive video segments are arranged according to the sequence of action phases; and generating a display of the video that includes the set of consecutive video segments and skips other video segments in the video.

A computer-implemented method is provided. The method includes executing a game application on one or more servers of a data center. The game application is for a game and the game is played by a first user of a first client device remote to the data center. The one or more servers interfaced with one or more encoders for compressing interactive video from the game application responsive to input from the first client device and streaming of the interactive video in a compressed format to the first client device for decompression and rendering to a display of the first client device. The method includes storing, at the data center, a recording of at least part of the game played by the first user using the first client device. The method includes storing, at the data center, state data for at least part of the game played by the first user using the first client device. The method includes generating a replay of the recording responsive to input from a second user device. The replay is generated with a different camera view from a camera view in the recording. The replay is executed using as input the state data.

A computer-implemented method is provided. The method includes executing a game application on one or more servers of a data center. The game application is for a game and the game is played by a first user of a first client device remote to the data center. The one or more servers interfaced with one or more encoders for compressing interactive video from the game application responsive to input from the first client device and streaming of the interactive video in a compressed format to the first client device for decompression and rendering to a display of the first client device. The method includes storing, at the data center, a recording of at least part of the game played by the first user using the first client device. The method includes storing, at the data center, state data for at least part of the game played by the first user using the first client device. The method includes generating a replay of the recording responsive to input from a second user device. The replay is generated with a different camera view from a camera view in the recording. The replay is executed using as input the state data.

Systems and methods for tagging portions a spherical video segment are provided. The spherical video segment may include visual content. User input indicating a moment in time in the spherical video segment and a viewing angle corresponding to the moment in time may be received. Tag information for the spherical video segment may be generated. The tag information may identify the moment in time and the viewing angle such that a subsequent presentation of the spherical video segment, proximate to the moment in time, includes a notification that the viewing angle is outside a display field of view based on the viewing angle being located outside the display field of view.

Systems and methods for tagging portions a spherical video segment are provided. The spherical video segment may include visual content. User input indicating a moment in time in the spherical video segment and a viewing angle corresponding to the moment in time may be received. Tag information for the spherical video segment may be generated. The tag information may identify the moment in time and the viewing angle such that a subsequent presentation of the spherical video segment, proximate to the moment in time, includes a notification that the viewing angle is outside a display field of view based on the viewing angle being located outside the display field of view.

The present technology relates to a reproduction device, a reproduction method, and a recording medium that enable content having a wide dynamic range of brightness to be displayed with an appropriate brightness. A recording medium, on which the reproduction device of one aspect of the present technology performs reproduction, records coded data of an extended video that is a video having a second brightness range that is wider than a first brightness range, brightness characteristic information that represents a brightness characteristic of the extended video, and brightness conversion definition information used when performing a brightness conversion of the extended video to a standard video that is a video having the first brightness range. The reproduction device decodes the coded data and converts the extended video obtained by decoding the coded data to the standard video on the basis of the brightness conversion definition information.

The present technology relates to a reproduction device, a reproduction method, and a recording medium that enable content having a wide dynamic range of brightness to be displayed with an appropriate brightness. A recording medium, on which the reproduction device of one aspect of the present technology performs reproduction, records coded data of an extended video that is a video having a second brightness range that is wider than a first brightness range, brightness characteristic information that represents a brightness characteristic of the extended video, and brightness conversion definition information used when performing a brightness conversion of the extended video to a standard video that is a video having the first brightness range. The reproduction device decodes the coded data and converts the extended video obtained by decoding the coded data to the standard video on the basis of the brightness conversion definition information.

Provided is an apparatus comprising: an image acquisition unit configured to acquire a captured image; a compression unit configured to compress a captured image to generate compressed data; a reproduction unit configured to generate, from the compressed data, a reproduced image that reproduces the captured image; an evaluation acquisition unit configured to acquire an evaluation corresponding to a degree of approximation between the reproduced image and the captured image; and a learning processing unit configured to perform learning processing of a model configured to output, in response to an input of a new captured image, a compression parameter value to be applied in compression of the captured image, by using learning data including the evaluation, a captured image corresponding to the evaluation, and a compression parameter value applied in compression of the captured image

Provided is an apparatus comprising: an image acquisition unit configured to acquire a captured image; a compression unit configured to compress a captured image to generate compressed data; a reproduction unit configured to generate, from the compressed data, a reproduced image that reproduces the captured image; an evaluation acquisition unit configured to acquire an evaluation corresponding to a degree of approximation between the reproduced image and the captured image; and a learning processing unit configured to perform learning processing of a model configured to output, in response to an input of a new captured image, a compression parameter value to be applied in compression of the captured image, by using learning data including the evaluation, a captured image corresponding to the evaluation, and a compression parameter value applied in compression of the captured image