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Content-based Visual Search System

Content-based Visual Search System. Yichao Sun ys2539. Role play a little. Fashion Designer. Museum Cataloger. Basic Concepts. Image Retrieval Visual Features. Introduction. Image Retrieve Keyword-based / Text-based Revolution Google Similar Image Search / Tineyes

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Content-based Visual Search System

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  1. Content-based Visual Search System Yichao Sun ys2539

  2. Role play a little ... Fashion Designer Museum Cataloger

  3. Basic Concepts • Image Retrieval • Visual Features

  4. Introduction Image Retrieve Keyword-based / Text-based Revolution Google Similar Image Search / Tineyes Improvement Efficiently

  5. Content-Based Search System"CBSS" • Matching query and stored images in a way that reflects humansimilarity judgements • Identificationof suitable ways of describing image content

  6. CBSS vs. Manual Indexing • CBSS faster and cheaper, in general • Depends on Case • Described museum object • TradeMark Retrieval • Combine CBSS and Manual Indexing

  7. Architecture

  8. Content Retrieval Techniques • Color Indexing • Texture • Shape • Video

  9. Evaluationof current CBSS techniques • color and texture can be more precise than shape • also much more costly

  10. Professional Users • Identify Criminal Faces • Fashion Designers • Doctors • Sport News Editors

  11. Commertial Systems • WebSEEK • ImageRover • QBIC • Virage • Excalibur

  12. Experimental Systems • Photobook • Chabot/Cypress • VisualSEEK • VideoQ

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