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A Multiresolution Technique for Video Indexing and Retrieval (2002)
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| Venue: | in Proc. Intl. Conf. on Image Processing (ICIP’02), Vol.1 |
| Citations: | 13 - 2 self |
BibTeX
@INPROCEEDINGS{Calic02amultiresolution,
author = {Janko Calic and Ebroul Izquierdo},
title = {A Multiresolution Technique for Video Indexing and Retrieval},
booktitle = {in Proc. Intl. Conf. on Image Processing (ICIP’02), Vol.1},
year = {2002},
pages = {952--955}
}
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Abstract
This paper presents a novel approach to the multiresolution analysis and scalability in video indexing and retrieval. A scalable algorithm for video parsing and key-frame extraction is introduced. The technique is based on real-time analysis of MPEG motion variables and scalable metrics simplification by discrete contour evolution. Furthermore, a hierarchical key-frame retrieval method using scalable colour histogram analysis is presented. It offers customisable levels of detail in the descriptor space, where the relevance order is determined by degradation of the image, and not by degradation of the image histogram. To assess the performance of the approach several experiments have been conducted. Selected results are reported in this paper. 1.
Keyphrases
video indexing multiresolution technique scalable metric simplification customisable level approach several experiment video parsing mpeg motion variable scalable algorithm relevance order discrete contour evolution multiresolution analysis scalable colour histogram analysis novel approach real-time analysis key-frame extraction image histogram hierarchical key-frame retrieval method descriptor space
