DocumentCode :
2241605
Title :
Extent: Inferring Image Metadata from Context and Content
Author :
Tsai, Chang-Ming ; Qamra, Arun ; Chang, Edward Y. ; Wang, Yuan-Fang
Author_Institution :
Dept. of Electr. & Comput. Eng., California Univ., Santa Barbara
fYear :
2005
fDate :
6-6 July 2005
Firstpage :
1270
Lastpage :
1273
Abstract :
We present EXTENT, an image annotation system that combines the context and content information to annotate images with metadata that cannot be reliably inferred from either the context or the content alone. EXTENT first applies contextual information for restricting the search scope in an image database and reducing the complexity of ensuing content analysis. It can then afford to use more expensive (hence more robust) algorithms for performing content analysis within the restricted database scope. Our experiments show that effectively combining content with context information can infer metadata with high accuracy
Keywords :
content management; image processing; meta data; visual databases; EXTENT; content analysis; context information; image annotation system; image database; metadata; Bridges; Computer science; Digital cameras; Global Positioning System; Image analysis; Image databases; Information analysis; Performance analysis; Reliability engineering; Robustness;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Multimedia and Expo, 2005. ICME 2005. IEEE International Conference on
Conference_Location :
Amsterdam
Print_ISBN :
0-7803-9331-7
Type :
conf
DOI :
10.1109/ICME.2005.1521660
Filename :
1521660
Link To Document :
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