TY - GEN
T1 - Color-frequency-orientation histogram based image retrieval
AU - Zhang, Zhuo
AU - Gu, Xiaodong
AU - Kung, Sunyuan
PY - 2012
Y1 - 2012
N2 - This paper proposes a multiclass image retrieval method using combined color-frequency-orientation histogram. Shape information, obtained via edge detector and Hough Transform, is also incorporated into the new feature. The feature has shown advantage in both unsupervised and supervised learning on Corel image dataset containing 10 categories of 1000 complex scenes. In unsupervised learning, comparing with histogram-based method [1], SIMPLIcity [2], FIRM [3], edge-based method [4], multi-resolution-based method [5], our approach respectively shows 25%, 14%, 10%, 7% and 2% improvement in accuracy. In supervised learning, we implement both one-against-one SVM and one-against-all SVM for multiclass classification. One-against-all SVM beats one-against-one SVM, achieving 95% accuracy with sufficient training.
AB - This paper proposes a multiclass image retrieval method using combined color-frequency-orientation histogram. Shape information, obtained via edge detector and Hough Transform, is also incorporated into the new feature. The feature has shown advantage in both unsupervised and supervised learning on Corel image dataset containing 10 categories of 1000 complex scenes. In unsupervised learning, comparing with histogram-based method [1], SIMPLIcity [2], FIRM [3], edge-based method [4], multi-resolution-based method [5], our approach respectively shows 25%, 14%, 10%, 7% and 2% improvement in accuracy. In supervised learning, we implement both one-against-one SVM and one-against-all SVM for multiclass classification. One-against-all SVM beats one-against-one SVM, achieving 95% accuracy with sufficient training.
KW - Image classification
KW - color-frequency-orientation histogram
KW - image retrieval
KW - support vector machines (SVMs)
UR - http://www.scopus.com/inward/record.url?scp=84867612782&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84867612782&partnerID=8YFLogxK
U2 - 10.1109/ICASSP.2012.6288133
DO - 10.1109/ICASSP.2012.6288133
M3 - Conference contribution
AN - SCOPUS:84867612782
SN - 9781467300469
T3 - ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
SP - 1321
EP - 1324
BT - 2012 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2012 - Proceedings
T2 - 2012 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2012
Y2 - 25 March 2012 through 30 March 2012
ER -