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» Extraction of Visual Features for Lipreading
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MM
2010
ACM
243views Multimedia» more  MM 2010»
13 years 7 months ago
Mobile product recognition
We present a mobile product recognition system for the camera-phone. By snapping a picture of a product with a camera-phone, the user can retrieve online information of the produc...
Sam S. Tsai, David M. Chen, Vijay Chandrasekhar, G...
CORR
2008
Springer
61views Education» more  CORR 2008»
13 years 7 months ago
Science mapping with asymmetrical paradigmatic proximity
We propose a series of methods to represent the evolution of a field of science at different levels: namely micro, meso and macro levels. We use a previously introduced asymmetric...
Jean-Philippe Cointet, David Chavalarias
CORR
2010
Springer
258views Education» more  CORR 2010»
13 years 7 months ago
Single Frame Image super Resolution using Learned Directionlets
In this paper, a new directionally adaptive, learning based, single image super resolution method using multiple direction wavelet transform, called Directionlets is presented. Th...
A. P. Reji, Tessamma Thomas
TCSV
2008
124views more  TCSV 2008»
13 years 7 months ago
A Block-Edge-Pattern-Based Content Descriptor in DCT Domain
In this correspondence, we describe a robust and effective content descriptor based on block edge patterns extracted directly in DCT domain, which is suitable for applications in J...
Jianmin Jiang, Kaijin Qiu, Guoqiang Xiao
MVA
2000
212views Computer Vision» more  MVA 2000»
13 years 7 months ago
Edge-Based Segmentation of Textured Images Using Optimally Selected Gabor Filters
In this paper, we propose a technique for segmenting visual textures using features extracted from the reponses of Ga,bor filters, appropria.tely selectecl to be tuned to texture ...
Bertin Rodolphe Okombi-Diba, Juichi Miyamichi, Ken...