KPPB LLP
Systems and methods for performing multi-modal video datastream segmentation
Systems and methods are described that can provide users with personalized video content feeds. In several embodiments, a multi-modal segmentation process is utilized that relies upon cues derived from video, audio and/or text data present in a video data stream. In a number of embodiments, video streams from a variety of sources are segmented. Links are identified between video segments and between video segments and online articles containing additional information relevant to the video segments. The additional information obtained by linking a video segment to an additional source of data can be utilized in the generation of personalized playlists. In the context of news programming, the dynamic mixing and aggregation of news videos from multiple sources can greatly enrich the news watching experience. In several embodiments, processes for linking video segments to additional sources of data can be implemented as part of a video search engine service.
The Board of Trustees of the Leland Stanford Junior University
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David Mo Huizhong Matthew Chuck-Jun Andre Filgueiras Maryam Peter Shanghsuan Bernd
Chen Chen Yu de Araujo Daneshi Vajda Tsai Girod