Abstract: A computing system described herein is configured to obtain a video of a video game being played by a video game player, where an esports competition includes play of the video game by the video game player. The computing system is additionally configured to identify, in the video and through use of machine vision technologies, occurrence of an event in the video game depicted in the video, where the machine vision technologies have been trained to detect occurrences of the event in videos, and further where an outcome of the esports competition is based upon the occurrence of the event in the video game. The computing system is additionally configured to output a value that is indicative of the occurrence of the event in the video game depicted in the video, where a score for the video game player is updated in the esports competition based upon the value that is indicative of the occurrence of the event in the video game depicted in the video.

Abstract: A computing system obtains a video of a video game being played, where an esports competition includes play of the video game by a video game player. The computing system identifies, in the video and through use of machine vision technologies, occurrence of an event in the video game depicted in the video, where the machine vision technologies have been trained to detect occurrences of the event in videos, and further where an outcome of the esports competition is based upon the occurrence of the event in the video game. The computing system also outputs a value that is indicative of the occurrence of the event in the video game depicted in the video, where a score for the video game player is updated in the esports competition based upon the value.

Abstract: A computing system described herein is configured to obtain a video of a video game being played by a video game player, where an esports competition includes play of the video game by the video game player. The computing system is additionally configured to identify, in the video and through use of machine vision technologies, occurrence of an event in the video game depicted in the video, where the machine vision technologies have been trained to detect occurrences of the event in videos, and further where an outcome of the esports competition is based upon the occurrence of the event in the video game. The computing system is additionally configured to output a value that is indicative of the occurrence of the event in the video game depicted in the video, where a score for the video game player is updated in the esports competition based upon the value that is indicative of the occurrence of the event in the video game depicted in the video.

Abstract: A computing system is described herein, where the computing system is configured to perform a search over a computer-readable index based upon a query for a user. The computer-readable index includes an identifier for a livestream video that is currently being livestreamed by way of a livestreaming service and values for respective attributes of the livestream video. The values for the respective attributes are updated as content of the livestream video alters over time. The livestream video is identified from amongst several livestream videos based upon the search, where the video is identified due to a set of values specified in the query corresponding to the values for the respective attributes in the computer-readable index. Upon the livestream video being identified, an identifier of the livestream video is transmitted to a client computing device of the user.

Abstract: A method of selectively providing different types of search engine results to different searchers is provided. A browsing history for each of a plurality of unique identities is logged. A unique identity is associated with a rich segment experience responsive to the browsing history for the unique identity satisfying correlation criteria of the rich segment experience. The rich segment experience is configured to present curated segment-specific information with other search results on a search result web page. Responsive to receiving a search query from the unique identity previously associated with the rich segment experience, the rich segment experience is presented with other search results on the search result web page. Responsive to receiving the search query from a different unique identity not previously associated with the rich segment experience, other search results are presented without the rich segment experience on the search result web page.

Abstract: A method of selectively providing different types of search engine results to different searchers is provided. A browsing history for each of a plurality of unique identities is logged. A unique identity is associated with a rich segment experience responsive to the browsing history for the unique identity satisfying correlation criteria of the rich segment experience. The rich segment experience is configured to present curated segment-specific information with other search results on a search result web page. Responsive to receiving a search query from the unique identity previously associated with the rich segment experience, the rich segment experience is presented with other search results on the search result web page. Responsive to receiving the search query from a different unique identity not previously associated with the rich segment experience, other search results are presented without the rich segment experience on the search result web page.

Abstract: Described herein is a mechanism for creating a dynamic video highlight from a plurality of video segments. A metadata collection agent collects metadata comprising attributes about a video, segments within the video where one or more events occur, attributes about the creator of the video and so forth. The metadata is collected and used to create highlight video definitions comprising a set of metadata attribute-value pairs. The highlight video definitions can be created in an interactive fashion by presenting a user interface allowing selection of a combination of attribute-value pairs to include/exclude segments from the definition and/or manual selection of custom segments. The highlight video definitions can be stored and/or shared among users. The video highlight definitions are utilized to instantiate one or more video players to play the video segments in an identified order without assembling the video segments into a separate video.

Abstract: Described herein is a user interface and method for playback of a highlight video comprising a plurality of video segments. The user interface has one or more of: 1) an area for displaying playback of video; 2) a plurality of segment sections each representing a corresponding video segment that can be viewed by a user, each segment section being visually separated from other video segments so that a user can visually discern where one segment section ends, and another segment section begins; 3) caption information that describes a currently selected video segment; 4) icons that represent events in a video segment displayed in proximity to the corresponding segment section; and 5) controls that are tailored to allow a user to interact with playback of a video segment, toggle between playback of the entire video containing the segment and the segment itself.

Abstract: Described herein is a mechanism for creating a dynamic video highlight from a plurality of video segments. A metadata collection agent collects metadata comprising attributes about a video, segments within the video where one or more events occur, attributes about the creator of the video and so forth. The metadata is collected and used to create highlight video definitions comprising a set of metadata attribute-value pairs. The highlight video definitions can be created in an interactive fashion by presenting a user interface allowing selection of a combination of attribute-value pairs to include/exclude segments from the definition and/or manual selection of custom segments. The highlight video definitions can be stored and/or shared among users. The video highlight definitions are utilized to instantiate one or more video players to play the video segments in an identified order without assembling the video segments into a separate video.

Abstract: A method of selectively providing different types of search engine results to different searchers is provided. A browsing history for each of a plurality of unique identities is logged. A unique identity is associated with a rich segment experience responsive to the browsing history for the unique identity satisfying correlation criteria of the rich segment experience. The rich segment experience is configured to present curated segment-specific information with other search results on a search result web page. Responsive to receiving a search query from the unique identity previously associated with the rich segment experience, the rich segment experience is presented with other search results on the search result web page. Responsive to receiving the search query from a different unique identity not previously associated with the rich segment experience, other search results are presented without the rich segment experience on the search result web page.

Abstract: Systems and methods for programmatic representation of natural language patterns are disclosed. A method includes accessing, via an electronic transmission, a text in a natural language. The method includes identifying, based on a plurality of stored natural language patterns residing in a data repository, one or more word groups within the text, each word group corresponding to at least one stored natural language pattern, each stored natural language pattern corresponding to a grammatical part of speech or a word-phrase type in the natural language. The method includes providing an output representing the identified one or more word groups and the at least one stored natural language pattern corresponding to each of the identified one or more word groups.

Abstract: Methods, systems, and computer programs are presented for providing a user interface (UI) for monitoring and debugging an Artificial Intelligence (AI) chatting hot. One method includes operations for receiving a selection on the UI to replay an electronic conversation between a first and a second party, selecting conversation data associated with the electronic conversation from a data log having conversation data from several electronic conversations, and analyzing the conversation data to identify conversation parameters. The conversation parameters include text in each entry of the electronic conversation, timing of the entries, and debugging parameters for each entry. The method further includes an operation for causing presentation of the electronic conversation on the UI, which includes presenting the text of each entry, the audio corresponding to speech associated with each entry timed according to the timing of the entry, and the debugging parameters embedded within the presented text.

Abstract: Methods, systems, and computer programs are presented for providing a user interface (UI) for monitoring and debugging an Artificial Intelligence (AI) chatting hot. One method includes operations for receiving a selection on the UI to replay an electronic conversation between a first and a second party, selecting conversation data associated with the electronic conversation from a data log having conversation data from several electronic conversations, and analyzing the conversation data to identify conversation parameters. The conversation parameters include text in each entry of the electronic conversation, timing of the entries, and debugging parameters for each entry. The method further includes an operation for causing presentation of the electronic conversation on the UI, which includes presenting the text of each entry, the audio corresponding to speech associated with each entry timed according to the timing of the entry, and the debugging parameters embedded within the presented text.