DocumentCode :
2799189
Title :
Artificial Visual Cortical Responding Model in Image Semantic Processing
Author :
Xu Zhiping ; Shiyong Zhang
Author_Institution :
Fudan Univ., Shanghai
fYear :
2007
fDate :
13-16 May 2007
Firstpage :
722
Lastpage :
725
Abstract :
This paper used the time sequence response feature, which generated from a novel visual information process model named Artificial Visual Cortical Responding Model (AVCRM), to clustered the sub-images into the initially manually assigned concept categories to attain the semantic distribution map of the image. According to the result of semantic distribution map, the semantic descriptor was generated for further semantic based Content Based Image Retrieval system. This mechanism was proved to be effective through the experiments and made a good semantic foundation of the future content based image retrieval research work.
Keywords :
content-based retrieval; image classification; image retrieval; artificial visual cortical responding model; content based image retrieval system; image semantic processing; semantic descriptor; semantic distribution map; time sequence response feature; visual information process; Brain modeling; Content based retrieval; Image retrieval; Neurofeedback; Neurons; Optical feedback; Optical filters; Optical interconnections; Optical sensors; Visual system;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Systems and Applications, 2007. AICCSA '07. IEEE/ACS International Conference on
Conference_Location :
Amman
Print_ISBN :
1-4244-1030-4
Electronic_ISBN :
1-4244-1031-2
Type :
conf
DOI :
10.1109/AICCSA.2007.370712
Filename :
4231040
Link To Document :
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