19 December 2001 Benchmarks for storage and retrieval in multimedia databases
Author Affiliations +
Abstract
There is a substantial body of research on computer methods for managing collections of images and videos. There is little evidence that this research has had important impact on an any community yet. I use an invitation to speak on a topic on which I am not expert to air some opinions about evaluating image retrieval research. In my opinion, there is little to be gained in measuring current solutions with reference collections, because these solutions differ so widely from user needs that the exercise becomes empty. The user studies literature is not well enough read by the image retrieval community. As a result, we tend to study somewhat artificial problems. A study of the user needs literature suggests that we will need to solve deep problems to produce useful solutions to image retrieval problems, but that there may be a need for a number of technologies that can be built in practice. I believe we should concentrate on these issues, rather than on measuring the performance of current systems.
© (2001) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
David A. Forsyth, David A. Forsyth, "Benchmarks for storage and retrieval in multimedia databases", Proc. SPIE 4676, Storage and Retrieval for Media Databases 2002, (19 December 2001); doi: 10.1117/12.451112; https://doi.org/10.1117/12.451112
PROCEEDINGS
8 PAGES


SHARE
RELATED CONTENT

LCAV-31: a dataset for light field object recognition
Proceedings of SPIE (March 06 2014)
Contour-based shape similarity
Proceedings of SPIE (October 01 1998)
Robust efficient video fingerprinting
Proceedings of SPIE (February 04 2009)
Warped metrics for image similarity retrieval
Proceedings of SPIE (December 19 2001)

Back to Top