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From Pixels to Semantic Spaces: Advances in Content-Based Image Retrieval

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1 Author(s)
Vasconcelos, N. ; Univ. of California, San Diego

The paradigm for image retrieval has evolved from low-level image representations to semantic concept models to higher-level semantic inferences. UCSD's Statistical Visual Computing Laboratory has developed effective techniques for each paradigm that equate retrieval with classification and strive for minimum-probability-of-error optimality.

Published in:

Computer  (Volume:40 ,  Issue: 7 )