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Development of Tag Ranking-Based Image Search System

목차

Abstract
 1. Introduction
 2. Existing Systems and Related Studies Although, is very useful positioning certain wide range
 3. Cluster-based Tag Ranking and Search System
  3.1 Tag Frequency Extraction
  3.2 Semantic Similarity Extraction
  3.3 Tag-Pair Weight Matrix Creation
  3.4 TWM-based Tag Clustering
  3.5 TBTC-based Ranking Algorithm
 4. Conclusion
 Acknowledgements
 References

저자정보

  • Si-Hwa Lee Medipia Tech. Inc., Ltd.
  • Sae-Hong Cho Dept. of Multimedia Engineering, at Hansung University
  • Dae-Hoon Hwang Dept. of Computer Science, at Gachon University

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