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Here is the diagram of a simple content-based image retrieval system.
Summary of algorithm:
1. Features: HSV color histogram, edge histogram;
2. Distance measures: L2 distance, cosine distance, histogram intersection, mainly use histogram intersection;
3. Decision scheme: take the mini-max of weighted sum of the 2 feature distances among database images as the closest match;
4. Result: shown top n (10/15) images with the least distance.