DocumentCode
1655151
Title
Image Indexing Using Shape Feature
Author
Zhao Qian ; Guo Hui-li
Author_Institution
JiYuan Electr. Power Co., Jiyuan, China
fYear
2011
Firstpage
1
Lastpage
3
Abstract
Based on the analysis of the traditional image retrieval in DCT compressed domain, a novel extraction algorithm is proposed in this paper. The DCT block is firstly classified into different edge type by exploiting five AC coefficients. Then, the edge spatial distribution map is constructed. According to the statistical feature of the map, the edge spatial distribution feature (ESDF) is presented. Meantime, the effect of the energy of DCT blocks on retrieval were considered, a weight is introduced into ESDF. The experiment results show that the new method has a good performance both in retrieval efficiency and effectiveness.
Keywords
discrete cosine transforms; feature extraction; image retrieval; AC coefficients; DCT block; DCT compressed domain; ESDF; edge spatial distribution feature; edge spatial distribution map; image indexing; image retrieval; shape feature; Discrete cosine transforms; Feature extraction; Image coding; Image edge detection; Image retrieval; Transform coding;
fLanguage
English
Publisher
ieee
Conference_Titel
Wireless Communications, Networking and Mobile Computing (WiCOM), 2011 7th International Conference on
Conference_Location
Wuhan
ISSN
2161-9646
Print_ISBN
978-1-4244-6250-6
Type
conf
DOI
10.1109/wicom.2011.6040542
Filename
6040542
Link To Document