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» Finding visual concepts by web image mining
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ICMCS
2009
IEEE
131views Multimedia» more  ICMCS 2009»
13 years 3 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
ICMCS
2006
IEEE
174views Multimedia» more  ICMCS 2006»
13 years 11 months ago
Web Image Mining Based on Modeling Concept-Sensitive Salient Regions
In this paper, we propose a probabilistic model for web image mining, which is based on concept-sensitive salient regions without human intervene. Our goal is to achieve a middle-...
Jing Liu, Qingshan Liu, Jinqiao Wang, Hanqing Lu, ...
CIVR
2010
Springer
196views Image Analysis» more  CIVR 2010»
13 years 9 months ago
On the sampling of web images for learning visual concept classifiers
Shiai Zhu, Gang Wang, Chong-Wah Ngo, Yu-Gang Jiang
WWW
2003
ACM
14 years 6 months ago
Mining topic-specific concepts and definitions on the web
Traditionally, when one wants to learn about a particular topic, one reads a book or a survey paper. With the rapid expansion of the Web, learning in-depth knowledge about a topic...
Bing Liu, Chee Wee Chin, Hwee Tou Ng
CSE
2009
IEEE
14 years 2 days ago
Web Science 2.0: Identifying Trends through Semantic Social Network Analysis
—We introduce a novel set of social network analysis based algorithms for mining the Web, blogs, and online forums to identify trends and find the people launching these new tren...
Peter A. Gloor, Jonas Krauss, Stefan Nann, Kai Fis...