Proceedings of 3rd International Conference on Multimedia Technology(ICMT-13)

A Robust and Discriminative Feature Representation based on Compact Coding

Authors
Yue Jinpeng, Jiang Guang, Hu Hong, Shi Zhongzhi
Corresponding Author
Yue Jinpeng
Available Online November 2013.
DOI
https://doi.org/10.2991/icmt-13.2013.149How to use a DOI?
Keywords
Visual feature   Feature representation   Compact coding
Abstract
As human vision system works, the visual features extracted from colours, textures, shapes, etc. are complement and should be synthesized to make a decision. Existing applications mainly base on one kind of features such as the wildly used texture feature. We put forward that complement features should be combined together to improve feature discriminabilty. And we propose a feature combining framework, which benefits from the recent fruitful research on compact coding of visual features. The compact codes are learned to be robust to complex image content variations. We combine colour histogram and texture under the framework, and experiments show that our method provides an effective way to the representation of features and has a wide application.
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Proceedings
3rd International Conference on Multimedia Technology(ICMT-13)
Part of series
Advances in Intelligent Systems Research
Publication Date
November 2013
ISBN
978-90-78677-89-5
ISSN
1951-6851
DOI
https://doi.org/10.2991/icmt-13.2013.149How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Yue Jinpeng
AU  - Jiang Guang
AU  - Hu Hong
AU  - Shi Zhongzhi
PY  - 2013/11
DA  - 2013/11
TI  - A Robust and Discriminative Feature Representation based on Compact Coding
BT  - 3rd International Conference on Multimedia Technology(ICMT-13)
PB  - Atlantis Press
SN  - 1951-6851
UR  - https://doi.org/10.2991/icmt-13.2013.149
DO  - https://doi.org/10.2991/icmt-13.2013.149
ID  - Jinpeng2013/11
ER  -