CQUniversity
Browse

File(s) not publicly available

A temporal texture characterizaton technique using block-based approximated motion measure

journal contribution
posted on 2017-12-06, 00:00 authored by Ashfaqur Rahman, M Murshed
Characterized by their distinctive motion patterns, temporal textures are natural phenomenon exhibiting spatio-temporal regularity with indeterminate spatial and temporal extent. This paper presents a real-time motion-based temporal texture characterization technique for the first time using block-based motion measures with very high classification accuracy against the popular opinion that such an accurate characterization is only possible using pixel-based measures. Finding an optimal weight ratio between space and time domain features where the accuracy of this block-based technique peaks has been the essence of this success. Computational complexity analyses and classification results clearly demonstrate the capability of the proposed technique in producing comprehensive classification results comparable to the best pixel-based technique with overwhelming reduction in computational complexity.

Funding

Other

History

Volume

17

Issue

10

Start Page

1370

End Page

1382

Number of Pages

13

ISSN

1051-8215

Location

United States

Publisher

IEEE

Language

en-aus

Peer Reviewed

  • Yes

Open Access

  • No

External Author Affiliations

Monash University;

Era Eligible

  • Yes

Journal

IEEE transactions on circuits and systems for video technology.