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