Volume 2, Issue 1, March 2009, Pages 27 - 38
Feature Weighting and Retrieval Methods for Dynamic Texture Motion Features
Ashfaqur Rahman, Manzur Murshed
Available Online 1 March 2009.
- https://doi.org/10.2991/jnmp.2009.2.1.4How to use a DOI?
- 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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- 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 -