Dynamic Texture Recognition Using Multiscale Binarized Statistical Image Features
Tools
Tools
Tools
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 | |||||||||
|---|---|---|---|---|---|---|---|---|---|---|
| Divisions : | Surrey research (other units) | |||||||||
| Authors : |
|
|||||||||
| Date : | 1 December 2014 | |||||||||
| DOI : | 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 : | 25 Jan 2020 00:06 | |||||||||
| URI: | http://epubs.surrey.ac.uk/id/eprint/839613 |
Actions (login required)
 |
View Item |
Downloads
Downloads per month over past year