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
Citation
NGO, Chong-wah.
A robust dissolve detector by support vector machine. (2003). Proceedings of the 11th ACM International Conference on Multimedia, MM'03, Berkeley, California, November 2-8. 283-286.
Available at: https://ink.library.smu.edu.sg/sis_research/6454
Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-No Derivative Works 4.0 International License.