DocumentCode :
3360865
Title :
A novel method for image retrieval in distributed multimedia system
Author :
Sun, S.-X. ; Huang, T.Y. ; Pang, C.Y.
Author_Institution :
Dept. of Comput. Sci., Univ. of Electron. Sci. & Technol. of China, Chengdu, China
fYear :
2001
fDate :
2001
Firstpage :
129
Lastpage :
134
Abstract :
With the development of Internet and multimedia technologies, Images retrieval based on their visual features becomes an important research area in distributed multimedia system. In this paper, we propose a new method for images retrieval by their visual appearance-Multi Scale Gauss-filtering Representation (MSGF). Images are first filtered in several scales with Gauss derivative filters, and the feature vectors are constructed on filtering outputs in several scales. Next, images are matched by their feature vectors, the matching results are scored and returned to user. We develop a fast search algorithm of index structure for local similarity retrieval of images. We then generalize the idea to a wide range of image retrieval by global similarity. Experiment shows that this method is effective in feature extraction and images retrieval by their visual appearance
Keywords :
Internet; feature extraction; image retrieval; multimedia systems; Gauss derivative filters; Internet; distributed multimedia system; fast search algorithm; feature extraction; feature vectors; global similarity; image retrieval; images retrieval; index structure; local similarity retrieval; multimedia technologies; multiscale Gauss-filtering representation; visual appearance; Content based retrieval; Feature extraction; Gaussian processes; Image retrieval; Information filtering; Information filters; Internet; Multimedia systems; Shape; Videos;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Supported Cooperative Work in Design, The Sixth International Conference on, 2001
Conference_Location :
London, Ont.
Print_ISBN :
0-660-18493-1
Type :
conf
DOI :
10.1109/CSCWD.2001.942243
Filename :
942243
Link To Document :
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