The image analysis system with Adaptive Component

Authors:
Chul Choi;Young Kwan Choi;Chang-Chun Park
Affiliations:
Konkuk University, Gwangjin-gu, Seoul, South Korea;Konkuk University, Gwangjin-gu, Seoul, South Korea;Konkuk University, Gwangjin-gu, Seoul, South Korea
Venue:
ISICT '04 Proceedings of the 2004 international symposium on Information and communication technologies
Year:
2004

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Abstract

This paper proposes ACA (Adaptive Component Analysis) as a method for feature extraction and analysis of the content-based image retrieval system. Retrieval measurement is a standard indicating how important the value of a relevant feature is to image retrieval. This process of analysis is called ACA (Adaptive Component Analysis) and the result extracted through ACA becomes an adaptive component for retrieval or statistical/mechanical learning. From the viewpoints of algorithm and system, ACA is a middle stage for content-based image retrieval and it purposes to improve the retrieval speed and performance.