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» Landmark image retrieval using visual synonyms
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NIPS
2008
13 years 9 months ago
Unsupervised Learning of Visual Sense Models for Polysemous Words
Polysemy is a problem for methods that exploit image search engines to build object category models. Existing unsupervised approaches do not take word sense into consideration. We...
Kate Saenko, Trevor Darrell
MM
2005
ACM
178views Multimedia» more  MM 2005»
14 years 1 months ago
Attention region selection with information from professional digital camera
The attentive region extraction is a challenging issue for semantic interpretation of image and video content. The successful attentive region extraction greatly facilitates image...
Song Liu, Liang-Tien Chia, Deepu Rajan
DIAL
2004
IEEE
181views Image Analysis» more  DIAL 2004»
13 years 11 months ago
Forensic Handwritten Document Retrieval System
Document storage and retrieval capabilities of the CEDAR-FOX forensic handwritten document examination system are described. The system is designed for automated and semi-automate...
Sargur N. Srihari, Zhixin Shi
MIR
2006
ACM
200views Multimedia» more  MIR 2006»
14 years 1 months ago
An adaptive graph model for automatic image annotation
Automatic keyword annotation is a promising solution to enable more effective image search by using keywords. In this paper, we propose a novel automatic image annotation method b...
Jing Liu, Mingjing Li, Wei-Ying Ma, Qingshan Liu, ...
VISUAL
1999
Springer
14 years 4 days ago
Crawling for Images on the WWW
Search engines are useful because they allow the user to nd information of interest from the World-Wide Web. These engines use a crawler to gather information from Web sites. Howev...
Junghoo Cho, Sougata Mukherjea