JOURNAL ARTICLE

<title>Video segmentation in the wavelet domain</title>

Mrinal MandalSethuraman Panchanathan

Year: 1998 Journal:   Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE Vol: 3527 Pages: 262-270   Publisher: SPIE

Abstract

Automatic video indexing is an important feature in the design of a video databases. Recently, compressed domain techniques have become popular due their inherent advantages of efficiency and reduced complexity. Wavelet transform is emerging as a powerful tool for efficient compression of visual information. A variety of wavelet based video compression techniques have been reported in the literature. However, there has been little work done in the area of video indexing in the wavelet domain. In this paper, we present video segmentation techniques in a wavelet based compression framework. These techniques employ wavelet coefficients, their distribution, and the motion vectors estimated by the associated video coder. Simulation result shows that the proposed techniques provide a good indexing performance at a low complexity.

Keywords:
Computer science Wavelet Wavelet transform Artificial intelligence Search engine indexing Computer vision Data compression Segmentation Motion compensation Lifting scheme Wavelet packet decomposition Video compression picture types Pattern recognition (psychology) Video processing Video tracking

Metrics

2
Cited By
0.00
FWCI (Field Weighted Citation Impact)
3
Refs
0.22
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Topics

Advanced Data Compression Techniques
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition
Image Retrieval and Classification Techniques
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition
Video Analysis and Summarization
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition

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