Date of Original Version
Abstract or Description
We propose a new analysis for searching images in video libraries that goes beyond simple image search, which compares one still image frame to another. The key idea is to expand the definition of an image to account for the variability in the sequence of video frames that comprise a shot. A first implementation of this method for a QBIC-like image search engine shows a clear improvement over still image search. A combination of the traditional still image search and the new video image search provided the overall best results on the TREC video retrieval evaluation data.
Proceedings of the 2nd ACM/IEEE-CS Joint Conference on Digital Libraries. JCDL '02. , 156-157.