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Advanced Image Database Retrieval System for Automobiles, Art, and Landscapes

This innovative image database retrieval system facilitates efficient searching for diverse subjects such as automobiles, landscapes, art, and people. By integrating user feedback, the system adapts to individual preferences, learning from positive and negative interactions. It allows users to execute complex visual queries, including searches for Gothic cathedrals or race cars, with rapid response times. Future enhancements planned for Summer 1999 include face recognition, improved query learning techniques using Ada-Boost, and a significant expansion to 50,000 images to enhance object detection and segmentation.

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Advanced Image Database Retrieval System for Automobiles, Art, and Landscapes

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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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