The image analysis system with Adaptive Component
Chul Soon Choi, Young Kwan Choi, Chang-Chun Park · 2004
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.