Journal of Nonlinear Mathematical Physics

Volume 2, Issue 1, March 2009, Pages 27 - 38

Feature Weighting and Retrieval Methods for Dynamic Texture Motion Features

Authors
Ashfaqur Rahman, Manzur Murshed
Corresponding Author
Ashfaqur Rahman
Available Online 1 March 2009.
DOI
https://doi.org/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.
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Journal
Journal of Nonlinear Mathematical Physics
Volume-Issue
2 - 1
Pages
27 - 38
Publication Date
2009/03
ISSN (Online)
1776-0852
ISSN (Print)
1402-9251
DOI
https://doi.org/10.2991/jnmp.2009.2.1.4How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - JOUR
AU  - Ashfaqur Rahman
AU  - Manzur Murshed
PY  - 2009
DA  - 2009/03
TI  - Feature Weighting and Retrieval Methods for Dynamic Texture Motion Features
JO  - Journal of Nonlinear Mathematical Physics
SP  - 27
EP  - 38
VL  - 2
IS  - 1
SN  - 1776-0852
UR  - https://doi.org/10.2991/jnmp.2009.2.1.4
DO  - https://doi.org/10.2991/jnmp.2009.2.1.4
ID  - Rahman2009
ER  -