Publication Type

Conference Proceeding Article

Version

publishedVersion

Publication Date

11-2003

Abstract

In this paper, we propose a novel approach for the robust detection and classification of dissolve sequences in videos. Our approach is based on the multi-resolution representation of temporal slices extracted from 3D image volume. At the low-resolution (LR) scale, the problem of dissolve detection is reduced as cut transition detection. At the highresolution (HR) space, Gabor wavelet features are computed for regions that surround the cuts located at LR scale. The computed features are then input to support vector machines for pattern classification. Encouraging results have been obtained through experiments.

Keywords

Dissolve Detector, Support Vector Machine, Temporal Slices

Discipline

Graphics and Human Computer Interfaces | Theory and Algorithms

Research Areas

Intelligent Systems and Optimization

Publication

Proceedings of the 11th ACM International Conference on Multimedia, MM'03, Berkeley, California, November 2-8

First Page

283

Last Page

286

Identifier

10.1145/957013.957072

Publisher

ACM

City or Country

Berkeley, California

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