Sciweavers

Share
MM
2004
ACM

Hierarchical clustering of WWW image search results using visual, textual and link information

9 years 1 months ago
Hierarchical clustering of WWW image search results using visual, textual and link information
We consider the problem of clustering Web image search results. Generally, the image search results returned by an image search engine contain multiple topics. Organizing the results into different semantic clusters facilitates users’ browsing. In this paper, we propose a hierarchical clustering method using visual, textual and link analysis. By using a vision-based page segmentation algorithm, a web page is partitioned into blocks, and the textual and link information of an image can be accurately extracted from the block containing that image. By using block-level link analysis techniques, an image graph can be constructed. We then apply spectral techniques to find a Euclidean embedding of the images which respects the graph structure. Thus for each image, we have three kinds of representations, i.e. visual feature based representation, textual feature based representation and graph based representation. Using spectral clustering techniques, we can cluster the search results into ...
Deng Cai, Xiaofei He, Zhiwei Li, Wei-Ying Ma, Ji-R
Added 30 Jun 2010
Updated 30 Jun 2010
Type Conference
Year 2004
Where MM
Authors Deng Cai, Xiaofei He, Zhiwei Li, Wei-Ying Ma, Ji-Rong Wen
Comments (0)
books