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What is Intelligent Sparse Visual Features for CBIR about?

This document proposes and evaluates several approaches for content-based image retrieval. It begins by introducing the challenges of searching large image databases without text annotations. It then describes research in feature extraction, clustering, classification and other areas. The objectives are to provide an efficient image representation, avoid segmentation, add spatial information and reduce computational cost and semantic gap. Three approaches are proposed: combining local and global histograms,

Author

zeeshan

Language

EN