10.1184/R1/6612794.v1 Alexander Hauptmann Alexander Hauptmann Rong Jin Rong Jin Norman Papernik Norman Papernik Dorbin Ng Dorbin Ng Yanjun Qi Yanjun Qi Ricky Houghton Ricky Houghton Sue Thornton Sue Thornton Video Retrieval with the Informedia Digital Video Library System Carnegie Mellon University 2006 computer sciences 2006-05-01 00:00:00 Journal contribution https://kilthub.cmu.edu/articles/journal_contribution/Video_Retrieval_with_the_Informedia_Digital_Video_Library_System/6612794 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