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Image Database Retrieval

Image Database Retrieval. Search for: Automobiles, Landscapes, Art work, People Learn user preferences from feedback: User gives positive and negative feedback Can learn complex, high-level visual queries: Search of Gothic Cathedrals Search for Race Cars etc. Progress:.

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Image Database Retrieval

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  1. Image Database Retrieval • Search for: • Automobiles, Landscapes, Art work, People • Learn user preferences from feedback: • User gives positive and negative feedback • Can learn complex, high-level visual queries: • Search of Gothic Cathedrals • Search for Race Cars • etc.

  2. Progress: • Users can specify complex queries easily • Database search is very rapid

  3. Future Work: • Summer 1999 • Recognition of Faces in Images • Extension of the Complex Feature Retrieval System • Toward 50,000 images • December 1999 • Improve techniques for query learning • Based on Ada-Boost • Detection of Deformable objects. • Integrate Complex Feature Retrieval with Segmentation

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