Grouping web image search result

In this paper, we propose a Web image search result organizing method to facilitate user browsing. We formalize this problem as a salient image region pattern extraction problem. Given the images returned by Web search engine, we first segment the images into homogeneous regions and quantize the environmental regions into image codewords. The salient codeword “phrases” are then extracted and ranked based on a regression model learned from human labeled training data. According to the salient “phrases”, images are assigned to different clusters, with the one nearest to the centroid as the entry for the corresponding cluster. Satisfying experimental results show the effectiveness of our proposed method. Categories and Subject Descriptors H.5.3 [Information Interfaces and Presentation]: Group and Organization Interfaces – Organizational design. H.3.3 [Information Storage and Retrieval]: Information Search and Retrieval – Clustering. General Terms Algorithms, Performance Keywo...

• Type: Conference
• Year: 2004
• Where: MM
• Authors: Xin-Jing Wang, Wei-Ying Ma, Qi-Cai He, Xing Li
• Keywords: Image, MM 2004, Pattern Extraction Problem, Salient Image Region