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.

Technologies generally described herein relate to a computing device for an input assistance scheme for an online marketplace posting. In one aspect, a computing device receives an input image containing an object to be posted on an online marketplace. In response to receiving the object, the computing device extracts, from the input image, feature data relating to the object. The device performs a search of an image database based on the extracted feature data to determine one or more images containing the object. The computing device obtains information data of the determined images and generates a reference dataset for the object based on the reference dataset.

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.

Systems and methods for recommending a media asset relating to a character unknown to a user are provided herein. The systems and methods may receive a first media asset viewed by a user, determine a first character in the first media asset, and include the first character in the character viewing profile for the user. Further, the systems and methods may receive a second media asset, including the first character, determine that a second character appears in the second media asset, and determine that the second character is not in the character viewing profile. The systems and methods may recommend a third media asset to the user for the second character.

Systems and methods for recommending a media asset relating to a character unknown to a user are provided herein. The systems and methods may receive a first media asset viewed by a user, determine a first character in the first media asset, and include the first character in the character viewing profile for the user. Further, the systems and methods may receive a second media asset, including the first character, determine that a second character appears in the second media asset, and determine that the second character is not in the character viewing profile. The systems and methods may recommend a third media asset to the user for the second character.

A video surveillance system and computer assisted method stores video streams of numerous video cameras installed throughout a facility (e.g., a school, an airport, etc.) and batch searches those video streams for relevant video frames that may show an individual with certain predetermined facial features. In some examples, the search range is limited by a specified time window, by certain designated cameras, and/or by certain predetermined areas of the facility. From those video streams, a collection of video clips containing the relevant video frames are identified and batch exported for later analysis by video surveillance personnel. In some examples, the collected video clips are compiled into a single composite video with the video clips being arranged by time for convenient and efficient viewing. In addition or alternatively, in some examples, the video clips are stored as separate files in a directory for viewing the video clips individually.

A video surveillance system and computer assisted method stores video streams of numerous video cameras installed throughout a facility (e.g., a school, an airport, etc.) and batch searches those video streams for relevant video frames that may show an individual with certain predetermined facial features. In some examples, the search range is limited by a specified time window, by certain designated cameras, and/or by certain predetermined areas of the facility. From those video streams, a collection of video clips containing the relevant video frames are identified and batch exported for later analysis by video surveillance personnel. In some examples, the collected video clips are compiled into a single composite video with the video clips being arranged by time for convenient and efficient viewing. In addition or alternatively, in some examples, the video clips are stored as separate files in a directory for viewing the video clips individually.

Methods, Systems, and Apparatuses are described to implement voice search in media content for requesting media content of a video clip of a scene contained in the media content streamed to the client device; for capturing the voice request for the media content of the video clip to display at the client device wherein the streamed media content is a selected video streamed from a video source; for applying a NLP solution to convert the voice request to text for matching to a set of one or more words contained in at least close caption text of the selected video; for associating matched words to close caption text with a start index and an end index of the video clip contained in the selected video; and for streaming the video clip to the client device based on the start index and the end index associated with matched closed caption text.

Methods, Systems, and Apparatuses are described to implement voice search in media content for requesting media content of a video clip of a scene contained in the media content streamed to the client device; for capturing the voice request for the media content of the video clip to display at the client device wherein the streamed media content is a selected video streamed from a video source; for applying a NLP solution to convert the voice request to text for matching to a set of one or more words contained in at least close caption text of the selected video; for associating matched words to close caption text with a start index and an end index of the video clip contained in the selected video; and for streaming the video clip to the client device based on the start index and the end index associated with matched closed caption text.

A video surveillance system and computer assisted method stores video streams of numerous video cameras installed throughout a facility (e.g., a school, an airport, etc.) and batch searches those video streams for relevant video frames that may show an individual with certain predetermined facial features. In some examples, the search range is limited by a specified time window, by certain designated cameras, and/or by certain predetermined areas of the facility. From those video streams, a collection of video clips containing the relevant video frames are identified and batch exported for later analysis by video surveillance personnel. In some examples, the collected video clips are compiled into a single composite video with the video clips being arranged by time for convenient and efficient viewing. In addition or alternatively, in some examples, the video clips are stored as separate files in a directory for viewing the video clips individually.