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ImageSeer: Clustering and Searching
WWW Images Using Link and Page
Layout Analysis
April 1, 2004
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Download Document

BibTex
Authors

Ji-Rong Wen

Wei-Ying Ma

Hong-Jiang Zhang
Publication Type
TechReport
Pages
12
Number
MSR-TR-2004-38

Abstract

Related Info
Abstract
Due to the rapid growth of the number of digital images on the Web, there is an increasing
demand for effective and efficient method for organizing and retrieving the images available.
This paper describes ImageSeer, a system for clustering and searching WWW images. By using
a vision-based page segmentation algo-rithm, a web page is partitioned into blocks, and the
textual and link information of an image can be accurately extracted within the block containing
that image. The textual information is used for image representation. By extracting the page-toblock, block-to-image, block-to-page relationships through link structure and page layout
analysis, we construct an image graph. Our method is less sensitive to noisy links than previous
methods like Pi-cASHOW, and hence the image graph can better reflect the se-mantic
relationship between images. With the graph models, we use techniques from spectral graph
theory and Markov Chain theory for image ranking, clustering and embedding. Some experimental results are given in the paper.
Related Info
Related Files
 tr-2004-38.pdf
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