Abstract:
Disclosed herein is a content-adaptive digital media content adjustment system, method and architecture. Playback rate of a media content item comprising audio and video content can be increased by removing a portion of the content item's audio content and a corresponding portion of the content item's video content. An increased playback rate of a multimedia content item is accomplished by decreasing the length of the multimedia content item by removing portions of the multimedia content item's audio and video content.
Abstract:
Disclosed herein is a content-adaptive digital media content adjustment system, method and architecture. Playback rate of a media content item comprising audio and video content can be increased by removing a portion of the content item's audio content and a corresponding portion of the content item's video content. An increased playback rate of a multimedia content item is accomplished by decreasing the length of the multimedia content item by removing portions of the multimedia content item's audio and video content.
Abstract:
Disclosed are systems and methods for improving interactions with and between computers in content generating, searching, hosting and/or providing systems supported by or configured with personal computing devices, servers and/or platforms. The systems interact to identify and retrieve data within or across platforms, which can be used to improve the quality of data used in processing interactions between or among processors in such systems. The disclosed systems and methods provide systems and methods for automatically detecting and rendering highlights from streaming videos in real-time. As a streaming video is being broadcast over the Internet, the disclosed systems and methods determine each type of scene from the streaming video, and automatically score highlight scenes. The scored highlight scenes are then communicated to users as compiled video segments, which can be over any type of channel or platform accessible to a user's device and network that enables content rendering and user interaction.
Abstract:
Disclosed are systems and methods for improving interactions with and between computers in content generating, searching, hosting and/or providing systems supported by or configured with personal computing devices, servers and/or platforms. The systems interact to identify and retrieve data within or across platforms, which can be used to improve the quality of data used in processing interactions between or among processors in such systems. The disclosed systems and methods provide systems and methods for automatically extracting and creating an animated Graphics Interchange Format (GIF) file from a media file. The disclosed systems and methods identify a number of GIF candidates from a video file, and based on analysis of each candidate's attributes, features and/or qualities, as well as determinations related to an optimal playback setting for the content of each GIF candidate, at least one GIF candidate is automatically provided to a user for rendering.
Abstract:
Disclosed herein is an automated approach for summarizing media content using descriptive information associated with the media content. For example and without limitation, the descriptive information may comprise a title associated with the media content. One or more segments of the media content may be identified to form a media content summary based on each segment's respective similarity to the descriptive information, which respective similarity may be determined using a media content and auxiliary data feature spaces. A shared dictionary of canonical patterns generated using the media content and auxiliary data feature spaces may be used in determining a media content segment's similarity to the descriptive information.
Abstract:
A method is provided, that initiates with providing a video over a network to a plurality of client devices, wherein each client device is configured to render the video and track movements of a pointer during the rendering of the video. Movement data that is indicative of the tracked movements of the pointer is received over the network from each client device. The movement data from the plurality of client devices is processed to determine aggregate pointer movement versus elapsed time of the video. The aggregate pointer movement is analyzed to identify a region of interest of the video. A preview of the video is generated based on the identified region of interest.