Hao Liu, Xing Xie, Xiaoou Tang, Zhiwei Li, and Wei-Ying Ma
The rapid development of web image search engines has enabled users to search hundred million of images available on the Web. However, due to the unsatisfactory performance of current search technologies, people still need to spend much time in navigating through the large number of result pages to find images of their interest. In this paper, we analyze the main characteristics of web image search results browsing from psycho-physiological and behavioral psychological views and propose to employ a similarity-based organization to present the search results. A user study is carried out to compare our approach with a ranking-based list interface and a cluster-based interface. Experimental results show that visual similarity can help users to explore image search results more naturally and efficiently.