17 December 1998 Choosing efficient feature sets for video classification
Author Affiliations +
In this paper, we address the problem of choosing appropriate features to describe the content of still pictures or video sequences, including audio. As the computational analysis of these features is often time- consuming, it is useful to identify a minimal set allowing for an automatic classification of some class or genre. Further, it can be shown that deleting the coherence of the features characterizing some class, is not suitable to guarantee an optimal classification result. The central question of the paper is thus, which features should be selected, and how they should be weighted to optimize a classification problem.
© (1998) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Stephan Fischer, Stephan Fischer, Ralf Steinmetz, Ralf Steinmetz, } "Choosing efficient feature sets for video classification", Proc. SPIE 3656, Storage and Retrieval for Image and Video Databases VII, (17 December 1998); doi: 10.1117/12.333840; https://doi.org/10.1117/12.333840


Developing power tools for video indexing and retrieval
Proceedings of SPIE (April 01 1994)
ViBE: a video indexing and browsing environment
Proceedings of SPIE (August 24 1999)
Video indexing and retrieval using MPEG-7
Proceedings of SPIE (December 10 2002)
Issues in managing image and video data
Proceedings of SPIE (December 18 2003)

Back to Top