University of Surrey

Test tubes in the lab Research in the ATI Dance Research

Dynamic Texture Recognition Using Multiscale Binarized Statistical Image Features

Arashloo, SR and Kittler, J (2014) Dynamic Texture Recognition Using Multiscale Binarized Statistical Image Features IEEE TRANSACTIONS ON MULTIMEDIA, 16 (8). pp. 2099-2109.

Full text not available from this repository.
Item Type: Article
Authors :
NameEmailORCID
Arashloo, SRUNSPECIFIEDUNSPECIFIED
Kittler, Jj.kittler@surrey.ac.ukUNSPECIFIED
Date : 1 December 2014
Identification Number : https://doi.org/10.1109/TMM.2014.2362855
Uncontrolled Keywords : Science & Technology, Technology, Computer Science, Information Systems, Computer Science, Software Engineering, Telecommunications, Computer Science, Binarized statistical image features, multiresolution analysis, spatio-temporal descriptors, time-varying texture, REPRESENTATION, CLASSIFICATION, PATTERNS
Related URLs :
Depositing User : Symplectic Elements
Date Deposited : 17 May 2017 13:32
Last Modified : 17 May 2017 15:11
URI: http://epubs.surrey.ac.uk/id/eprint/839613

Actions (login required)

View Item View Item

Downloads

Downloads per month over past year


Information about this web site

© The University of Surrey, Guildford, Surrey, GU2 7XH, United Kingdom.
+44 (0)1483 300800