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» Content-based image retrieval by clustering
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WWW
2008
ACM
14 years 10 months ago
Detecting image spam using visual features and near duplicate detection
Email spam is a much studied topic, but even though current email spam detecting software has been gaining a competitive edge against text based email spam, new advances in spam g...
Bhaskar Mehta, Saurabh Nangia, Manish Gupta 0002, ...
TMM
2008
201views more  TMM 2008»
13 years 9 months ago
Fast Best-Match Shape Searching in Rotation-Invariant Metric Spaces
Object recognition and content-based image retrieval systems rely heavily on the accurate and efficient identification of shapes. A fundamental requirement in the shape analysis p...
Dragomir Yankov, Eamonn J. Keogh, Li Wei, Xiaopeng...
ECCV
2008
Springer
14 years 11 months ago
Learning Visual Shape Lexicon for Document Image Content Recognition
Developing effective content recognition methods for diverse imagery continues to challenge computer vision researchers. We present a new approach for document image content catego...
Guangyu Zhu, Xiaodong Yu, Yi Li, David S. Doermann
CIVR
2009
Springer
192views Image Analysis» more  CIVR 2009»
14 years 4 months ago
Example based video filters
Many of the successful multimedia retrieval systems focus on developing efficient and effective video retrieval solutions with the help of appropriate index structures. In these ...
Mihir Jain, Sreekanth Vempati, Chandrika Pulla, C....

Book
640views
15 years 8 months ago
Introduction to Pattern Recognition
"Pattern recognition techniques are concerned with the theory and algorithms of putting abstract objects, e.g., measurements made on physical objects, into categories. Typical...
Sargur Srihari