Title :
A shape feature based image retrieval in DCT compressed-domain
Author :
Xihuang, Zhang ; Guochun, Bian ; Wenbo, Xu
Author_Institution :
Sch. of Inf. Eng., Southern Yangtze Univ., Jiangsu, China
Abstract :
In this paper, an approach of image retrieval directly based on shape feature in DCT compressed-domain is proposed. Firstly, according to the edge feature of DCT compressed image, the rough object shape is extracted from DCT compressed-domain to form a binary edge map; then the similarity measurement is redefined by using the moments invariant to improve the retrieval performance. It is supported by theoretical analysis and experimental result that this approach not only is fast, but also has a good performance. And it is also robust to rotation and translation.
Keywords :
discrete cosine transforms; feature extraction; image coding; image retrieval; visual databases; DCT compressed image; binary edge map; image retrieval; rough object shape extraction; shape feature; Content based retrieval; Decoding; Digital images; Discrete cosine transforms; Entropy; Image coding; Image retrieval; Image storage; Shape measurement; Transform coding;
Conference_Titel :
Computer and Information Technology, 2005. CIT 2005. The Fifth International Conference on
Print_ISBN :
0-7695-2432-X
DOI :
10.1109/CIT.2005.50
