A hierarchical, multi-resolution method for dictionary-driven content-based image retrieval

Abstract

A new methodology of image and keyframe retrieval for image and video databases is presented. In contrast to previous approaches, which only support similarity retrieval and direct image manipulation on-line, our system performs tagging off-line using neural network algorithm and answers query on-line using only the tags. This new method is more appealing in meeting user's needs than only emphasizing what current technology can offer. Experiments on our CAETI (Computer Assisted Education & Training Initiative) IML (Internet Multimedia Library) show that this model gives high quality query results with fast on-line performance. This visual search system is available at http:/www.videolib.princeton.edu/test/retrieve.