EUSIPCO 2002, 11th European Signal Processing Conference September 3-6, 2002, Toulouse, France
Image similarity is a key issue for many multimedia applications. Video summarization is no exception. We have recently proposed a number of methodologies for creating visually significant summaries of videos. Our approach relies heavily on the metric which decides on whether two video key-frames are similar or not. In this paper, we compare a number of histogram representations and possible distance measures with the objective of improving the quality of video summaries.
Type:
Conference
City:
Toulouse
Date:
2002-09-03
Department:
Data Science
Eurecom Ref:
1115
Copyright:
© 2002 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.
See also:
