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ICMCS
2009
IEEE
131views Multimedia» more  ICMCS 2009»
13 years 2 months ago
Web image mining using concept sensitive Markov stationary features
With the explosive growth of web resources, how to mine semantically relevant images efficiently becomes a challenging and necessary task. In this paper, we propose a concept sens...
Chunjie Zhang, Jing Liu, Hanqing Lu, Songde Ma
CVPR
2008
IEEE
14 years 6 months ago
One step beyond histograms: Image representation using Markov stationary features
This paper proposes a general framework called Markov stationary features (MSF) to extend histogram based features. The MSF characterizes the spatial co-occurrence of histogram pa...
Jianguo Li, Weixin Wu, Tao Wang, Yimin Zhang
APWEB
2006
Springer
13 years 8 months ago
Image Description Mining and Hierarchical Clustering on Data Records Using HR-Tree
Since we can hardly get semantics from the low-level features of the image, it is much more difficult to analyze the image than textual information on the Web. Traditionally, textu...
Congle Zhang, Sheng Huang, Gui-Rong Xue, Yong Yu