Carnegie Mellon University
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Video Retrieval with the Informedia Digital Video Library System

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journal contribution
posted on 2006-05-01, 00:00 authored by Alexander Hauptmann, Rong Jin, Norman Papernik, Dorbin Ng, Yanjun Qi, Ricky Houghton, Sue Thornton
The Informedia Digital Video Library [1] was the only NSF DLI project focusing specifically on information extraction from video and audio content. Over a terabyte of online data was collected, with automatically generated metadata and indices for retrieving videos from this library. The architecture for the project was based on the premise that real-time constraints on library and associated metadata creation could be relaxed in order to realize increased automation and deeper parsing and indexing for identifying the library contents and breaking it into segments. Library creation was an offline activity, with library exploration by users occurring online and making use of the generated metadata and segmentation




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