A computing device is described. In an example implementation, the computing device includes a housing including a display screen on a front surface, the housing and display screen being collectively positionable in a plurality of physical orientations, an input device that includes a first selection mechanism and a second selection mechanism, the first selection mechanism being actuatable to adjust a setting of an output of an application displayed on the display screen, the second selection mechanism being actuatable to adjust the setting of the output of the application displayed on the display screen, and an orientation sensor configured to determine which physical orientation of the plurality of physical orientations that the display screen is positioned in, and change a first input polarity of the first selection mechanism to correspond to the determined physical orientation of the display screen.

One method includes receiving a database query, receiving information about a database table in data storage populated with data elements, producing a structural representation of the database table that includes a formatted data organization reflective of the database table and is absent the data elements of the database table, and providing the structural representation and the database query to a plan generator capable of producing a query plan representing operations for executing the database query on the database table. Another method includes receiving a query plan from a plan generator, the plan representing operations for executing a database query on a database table, and producing a dataflow graph from the query plan, wherein the dataflow graph includes at least one node that represents at least one operation represented by the query plan, and includes at least one link that represents at least one dataflow associated with the query plan.

A computer-implemented method of generating a video stream recommendation comprises identifying a plurality of peripheral devices monitoring zones of a physical area, the peripheral devices comprising a plurality of video cameras providing video streams of at least some of the monitored zones. The method further comprises querying a knowledge graph representing the peripheral devices and the monitored zones as ontology entities connected by edges representing physical paths between the monitored zones, and by edges representing which monitored zones the peripheral devices monitor, in order to identify a set of one or more video camera(s) monitoring zones other than a selected monitored zone, as a result of the querying. The method then comprises generating a video stream recommendation based on the result of the querying.

Systems, methods, and computer-readable media for adding beauty products to tutorials are presented. Methods include accessing video data comprising images of a presenter creating a tutorial, the tutorial depicting the presenter applying a beauty product to a body part of the presenter. Methods further include processing the video data to identify changes to the body part of the presenter from an application of the beauty product, and responding to identifying changes to the body part of the presenter from the application of the beauty product by processing the video data to identify the beauty product. Methods further include retrieving information regarding the beauty product and causing presentation of information regarding the beauty product on a display device.

Certain embodiments involve adaptive search results for multimedia search queries to provide dynamic previews. For instance, a computing system receives a search query that includes a keyword. The computing system identifies, based on the search query, a video file having keyframes with content tags that match the search query. The computing system determines matching scores for respective keyframes of the identified video file. The computing system generates a dynamic preview from at least two keyframes having the highest matching scores.

This disclosure relates to a video processing method, a video processing apparatus, and a computer-readable storage medium. The video processing method includes: providing a first user with an interactive interface for tagging people in a video; receiving a tagging operation on at least one people in the video, which is inputted by the first user through the interactive interface; and in response to the tagging operation of the first user, displaying a tagging result in-feed outside a video display interface when the video is posted on a social network.

Systems and methods for searching, identifying, scoring, and providing access to companion media assets for a primary media asset are disclosed. In response to a request for companion content, metadata within a predefined time period of a play position when the request was made, is downloaded. A dynamic search template that contains search parameters based on the downloaded metadata is generated. In response to the search conducted using the search template, a plurality of companion media assets are identified and then verified. A trust score for the companion media asset is accessed. The trust score may be analyzed and modified based on its contextual relationship to the play position of the primary media asset. If the trust score is within a rating range, then a link to access the companion media asset, or a specific segment or play position within the companion media asset, is provided.

Systems and methods for searching, identifying, scoring, and providing access to companion media assets for a primary media asset are disclosed. In response to a request for companion content, metadata within a predefined time period of a play position when the request was made, is downloaded. A dynamic search template that contains search parameters based on the downloaded metadata is generated. In response to the search conducted using the search template, a plurality of companion media assets are identified and then verified. A trust score for the companion media asset is accessed. The trust score may be analyzed and modified based on its contextual relationship to the play position of the primary media asset. If the trust score is within a rating range, then a link to access the companion media asset, or a specific segment or play position within the companion media asset, is provided.

A question answering method that is performed by a question answering apparatus includes: receiving a data set including video content and question-answer pairs; generating input time-series sequences from the video content of the input data set and also generating a question-answer time-series sequence from the question-answer pair of the input data set; calculating weights by associating the input time-series sequence with the question-answer time-series sequence and also calculating first result values by performing operations on the calculated weights and the input time-series sequences; calculating second result values by paying attention to portions of the input time-series sequences that are directly related to characters appearing in questions and answers; and calculating third result values by concatenating the time-series sequences, the first result values, the second result values, and Boolean flags and selecting a final answer based on the third result values.

A question answering method that is performed by a question answering apparatus includes: receiving a data set including video content and question-answer pairs; generating input time-series sequences from the video content of the input data set and also generating a question-answer time-series sequence from the question-answer pair of the input data set; calculating weights by associating the input time-series sequence with the question-answer time-series sequence and also calculating first result values by performing operations on the calculated weights and the input time-series sequences; calculating second result values by paying attention to portions of the input time-series sequences that are directly related to characters appearing in questions and answers; and calculating third result values by concatenating the time-series sequences, the first result values, the second result values, and Boolean flags and selecting a final answer based on the third result values.