Title :
Image Indexing Using Shape Feature
Author :
Zhao Qian ; Guo Hui-li
Author_Institution :
JiYuan Electr. Power Co., Jiyuan, China
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;
Conference_Titel :
Wireless Communications, Networking and Mobile Computing (WiCOM), 2011 7th International Conference on
Conference_Location :
Wuhan
Print_ISBN :
978-1-4244-6250-6
DOI :
10.1109/wicom.2011.6040542
