Video Analytics for Indexing, Summarization and Searching of Video Archives

H.E. Trease and L. Trease (USA)


Video Analytics, Video Content Analysis, Video FingerPrinting, High-Throughput Video Processing, Parallel Computing


Given a video or video archive how does one effectively and quickly summarize, classify, and search the information contained within the data? This paper addresses these issues by describing a process for the automated generation of a table-of-contents and keyword, topic-based index tables that can be used to catalogue, summarize, and search large amounts of video data. Having the ability to index and search the information contained within the videos, beyond just metadata tags, provides a mechanism to extract and identify “useful” content from image and video data.

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