An estimation device includes: an obtainer that obtains first content associated with a first time and second content associated with a second time, the second time preceding the first time by a predetermined amount of time; a determiner that, by applying first processing for determining a type of content to each of the first content and the second content, obtains first type information indicating a type of the first content and second type information indicating a type of the second content; a calculator that, using the first type information and the second type information, calculates confidence level information indicating a confidence level of the first type information; and an outputter that, using the confidence level information calculated by the calculator, outputs specifying information specifying the type of the first content derived from the first type information.

The current embodiments relate to a real-time automated classification system that uses machine learning system to recognize important moments in broadcast content based on log data and/or other data received from various classification systems. The real-time automated classification system may be trained to recognize correlations between the various log data to determine key moments in the broadcast content. The real-time automated logging system may determine and generate metadata that describe or give information about what is happening or appearing in the broadcast content. The real-time automated logging system may automatically generate control inputs, suggestions, recommendations, and/or edits relating to broadcast content based upon the metadata, during broadcasting of the broadcast content.

A system and method for automatically recording viewer reactions to viewed video content. The system and method utilize a system that responds to pre-tagged segments of video content. Upon recognition of such a tagged segment, a video camera is activated to capture the viewer response. A composite video of the captured viewer response and the segment of viewed video is then created. The viewer is notified that the composite video has been created. The system and method also provide the viewer with options to share the video via social media.

A content distribution server, includes: a communicator that receives live contents transmitted through a network NW from a distributor terminal used by a distributor of a live content; a designator that designates an area in the live content, where another content is superimposed and played; a selector that selects the other content to be played in the area designated; and a controller that generates a distribution content by superimposing the other content selected by the selector in the area designated by the designator in the live content, wherein the communicator distributes the distribution content to a viewer terminal through the network NW.

A content distribution server, includes: a communicator that receives live contents transmitted through a network NW from a distributor terminal used by a distributor of a live content; a designator that designates an area in the live content, where another content is superimposed and played; a selector that selects the other content to be played in the area designated; and a controller that generates a distribution content by superimposing the other content selected by the selector in the area designated by the designator in the live content, wherein the communicator distributes the distribution content to a viewer terminal through the network NW.

Methods, systems, and media for detecting a presentation of media content on a display device are provided. In accordance with some implementations, methods for detecting a presentation of media content on a display device are provided, the methods comprising: detecting, using a light sensor, light levels in the light sensor's surroundings; generating a signal representing the light levels; detecting, using a hardware processor, at least one variation in light levels indicative of a presentation of a video scene based on the signal; detecting at least one variation in light levels indicative of a scene change subsequent to the video scene based on the signal; and determining that media content is being presented on a display device in response to detecting the variation in light levels indicative of the presentation of the video scene and the variation in light levels indicative of the scene change.

A content distribution server (111), includes: a communicator (112) that receives live contents transmitted through a network NW from a distributor terminal (121) used by a distributor of a live content; a designator (115) that designates an area in the live content, where another content is superimposed and played; a selector (116) that selects the other content to be played in the area designated; and a controller (113) that generates a distribution content by superimposing the other content selected by the selector (116) in the area designated by the designator (115) in the live content, wherein the communicator (112) distributes the distribution content to a viewer terminal (131) through the network NW.

Methods, systems, and media for detecting a presentation of media content on a display device are provided. In accordance with some implementations, methods for detecting a presentation of media content on a display device are provided, the methods comprising: detecting, using a light sensor, light levels in the light sensor's surroundings; generating a signal representing the light levels; detecting, using a hardware processor, at least one variation in light levels indicative of a presentation of a video scene based on the signal; detecting at least one variation in light levels indicative of a scene change subsequent to the video scene based on the signal; and determining that media content is being presented on a display device in response to detecting the variation in light levels indicative of the presentation of the video scene and the variation in light levels indicative of the scene change.

The current embodiments relate to a real-time automated classification system that uses machine learning system to recognize important moments in broadcast content based on log data and/or other data received from various classification systems. The real-time automated classification system may be trained to recognize correlations between the various log data to determine key moments in the broadcast content. The real-time automated logging system may determine and generate metadata that describe or give information about what is happening or appearing in the broadcast content. The real-time automated logging system may automatically generate control inputs, suggestions, recommendations, and/or edits relating to broadcast content based upon the metadata, during broadcasting of the broadcast content.

A content distribution server (111), includes: a communicator (112) that receives live contents transmitted through a network NW from a distributor terminal (121) used by a distributor of a live content; a designator (115) that designates an area in the live content, where another content is superimposed and played; a selector (116) that selects the other content to be played in the area designated; and a controller (113) that generates a distribution content by superimposing the other content selected by the selector (116) in the area designated by the designator (115) in the live content, wherein the communicator (112) distributes the distribution content to a viewer terminal (131) through the network NW.