Feature Weighting and Retrieval Methods for Dynamic Texture Motion Features

DOI

10.2991/jnmp.2009.2.1.4How to use a DOI?

Abstract

Feature weighing methods are commonly used to find the relative significance among a set of features that are effectively used by the retrieval methods to search image sequences efficiently from large databases. As evidenced in the current literature, dynamic textures (image sequences with regular motion patterns) can be effectively modelled by a set of spatial and temporal motion distribution features like motion co-occurrence matrix. The aim of this paper is to develop effective feature weighting and retrieval methods for a set of dynamic textures while characterized by motion co-occurrence matrices.

Copyright

© 2009, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - JOUR
AU  - Ashfaqur Rahman
AU  - Manzur Murshed
PY  - 2009
DA  - 2009/03/01
TI  - Feature Weighting and Retrieval Methods for Dynamic Texture Motion Features
JO  - International Journal of Computational Intelligence Systems
SP  - 27
EP  - 38
VL  - 2
IS  - 1
SN  - 1875-6883
UR  - https://doi.org/10.2991/jnmp.2009.2.1.4
DO  - 10.2991/jnmp.2009.2.1.4
ID  - Rahman2009
ER  -