Similarity-Based Image Browsing
Chaomei Chen, George Gagaudakis, Paul L. Rosin · 2000
Digital images and videos have an increasingly important role in today's telecommunication and our everyday life in modern information society. The past few years witnessed a proliferation of content-based image retrieval techniques. Images are typically characterized by intrinsic attributes of images such as color, texture, and shape. However, the potential of integrating these techniques with visualization and data-mining techniques has yet been fully explored. Users should be able to explore images in a database or video clips by visual similarities. In this article, we explore the synergy between Pathfinder networks and content-based information retrieval techniques. Salient structures of images are revealed through visualization models derived from features extracted from images. Visualizations are generated from three feature classes of the well-known QBIC system: color, layout, and texture. 1. INTRODUCTION Digital images and videos have an increasingly important role in today'...