PBIR: perception-based image retrieval-a system that can quickly capture subjective image query concepts

Edward Y. Chang, Kwang-Ting Cheng, Wei-Cheng Lai, Ching-Tung Wu, Chengwei Chang, Yi-Leh Wu

Abstract: We describe the Perception-Based Image Retrieval (PBIR) system that we have built on our recently developed query-concept learning algorithms, MEGA and SVMActive. We show that MEGA and SVMActive can learn a complex image-query concept in a small number of user iterations (usually three to four) on a large, multi-category, high-dimensional image database.