The system of adaptive component analysis for image retrieval

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 the importance of the relevant feature 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 improves the retrieval speed and performance.