A fast image retrieval using the unification search method of binary classification and dimensionality condensation of feature vectors

Authors:
Jungwon Cho;Seungdo Jeong;Byunguk Choi
Affiliations:
Department of Computer Education, College of Education, Cheju National University, Jeju-si, Jeju-do, Korea;Multimedia Laboratory, Department of Electrical and Computer Engineering, Hanyang University, Seoul, Korea;Division of Information and Communications, Hanyang University, Seoul, Korea
Venue:
KES'05 Proceedings of the 9th international conference on Knowledge-Based Intelligent Information and Engineering Systems - Volume Part III
Year:
2005

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Abstract

We present the two-stage content-based image retrieval as a new fast image retrieval approach using the unification search method of binary classification and dimensionality condensation of feature vectors. The method successfully reduces the overall retrieval time, while maintaining the same retrieval relevance as the conventional exhaustive search method. By the extensive computer simulations, we have observed that the method is more effective as user-specific threshold for the similarity score increase.