Kernel Canonical Correlation with Similarity Refinement for Automatic Image Tagging

Yanhui Xiao, Yao Zhao, Zhenfeng Zhu
2010 2010 Sixth International Conference on Intelligent Information Hiding and Multimedia Signal Processing  
Automatic image tagging (AIT) is an effective technology to facilitate the process of image retrieval without requiring user to provide a retrieval instance beforehand. In this paper, we propose an AIT method based on kernel canonical correlation analysis (KCCA) with similarity refinement (KCCSR). As a statistic correlation technique, the KCCA aims at extracting some kind of hidden information shared commonly by the two random variables. Different from the previous KCCA based tagging methods,
more » ... e graph based similarity refinements are first implemented by an interactive way to obtain the enhanced visual and textual representations. Subsequently, the KCCA is applied to them to mine the unique intrinsic semantic representation space, in which the AIT can be completed. The final experimental results validate the effectiveness of the proposed KCCSR.
doi:10.1109/iihmsp.2010.145 dblp:conf/iih-msp/XiaoZZ10 fatcat:wjeqhvow7nh63lpwnaze5obokm