iFind?a system for semantics and feature based image retrieval over Internet

摘要

iFind© (v 1.0) is a web based image retrieval system developed at Microsoft Research China. It provides the functionalities of keyword based image search, query by image example, category based image browsing, relevance feedback, and semi-automatic image annotation. The key technology in the system is the integrated semantics and feature based image retrieval and relevance feedback approach, which will be presented in our paper in the ACM Multimedia 2000 Proceedings [1]. When the user provides feedback images, the system can refine the retrieval result based on the user's feedback. In the meantime, the system updates the annotation of feedback images by increasing the linkage to the positive examples' annotation and decreasing the linkage to the negative examples' annotation. The updated annotation can further help to improve image retrieval results of the system in later use.