Video Retrieval with the Informedia Digital Video Library System
Abstract
The Informedia Digital Video Library System. 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. The goal of the Informedia interface was to enable quick access to relevant information in a digital video library, leveraging from derived metadata and the partitioning of the video into small segments.
BibTeX
@conference{Hauptmann-2001-126446,author = {Alexander G. Hauptmann and Rong Jin and Norman Papernick and Tobun Dorbin Ng and Yanjun Qi and Ricky Houghton and Sue Thornton},
title = {Video Retrieval with the Informedia Digital Video Library System},
booktitle = {Proceedings of 10th Text Retrieval Conference (TREC '01)},
year = {2001},
month = {November},
pages = {13 - 16},
}