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» Learning Color Names from Real-World Images
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CVPR
2012
IEEE
11 years 11 months ago
Contextual Boost for Pedestrian Detection
Pedestrian detection from images is an important and yet challenging task. The conventional methods usually identify human figures using image features inside the local regions. In...
Yuanyuan Ding, Jing Xiao
IJON
2006
82views more  IJON 2006»
13 years 7 months ago
Ratio rule and homomorphic filter for enhancement of digital colour image
Digital colour image enhancement using a homomorphic filter provides good dynamic range compression, but it fails in colour rendition. In this letter, we propose to perform natura...
Ming-Jung Seow, Vijayan K. Asari
SDM
2007
SIAM
121views Data Mining» more  SDM 2007»
13 years 9 months ago
Mining Visual and Textual Data for Constructing a Multi-Modal Thesaurus
We propose an unsupervised approach to learn associations between continuous-valued attributes from different modalities. These associations are used to construct a multi-modal t...
Hichem Frigui, Joshua Caudill
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, ...
CVPR
2000
IEEE
14 years 9 months ago
Chromatic Framework for Vision in Bad Weather
Conventional vision systems are designed to perform in clear weather. However, any outdoor vision system is incomplete without mechanisms that guarantee satisfactory performance u...
Srinivasa G. Narasimhan, Shree K. Nayar