iRIN: image retrieval in image-rich information networks

In this demo, we present a system called iRIN designed for performing image retrieval in image-rich information networks. We first introduce MoK-SimRank to significantly improve the speed of SimRank, one of the most popular algorithms for computing node similarity in information networks. Next, we propose an algorithm called SimLearn to (1) extend MoK-SimRank to heterogeneous image-rich information network, and (2) account for both link-based and contentbased similarities by seamlessly integrating reinforcement learning with feature learning. Categories and Subject Descriptors H.3.1 [Information Storage and Retrieval]: Content Analysis and Indexing; H.3.3 [Information Storage and Retrieval]: Image Processing and Computer Vision General Terms Algorithms, Experimentation Keywords Image Retrieval, Information Network, Ranking

• Type: Conference
• Year: 2010
• Where: WWW
• Authors: Xin Jin, Jiebo Luo, Jie Yu, Gang Wang, Dhiraj Joshi, Jiawei Han
• Keywords: Image Retrieval, Image-rich Information Network, Information Network, Internet Technology, WWW 2010