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TRECVID
2008
15 years 8 months ago
ISM TRECVID2008 High-level Feature Extraction
We studied a method using support vector machines (SVMs) with walk-based graph kernels for the high-level feature extraction (HLF) task. In this method, each image is first segmen...
Tomoko Matsui, Jean-Philippe Vert, Shin'ichi Satoh...
NIPS
2003
15 years 7 months ago
Bayesian Color Constancy with Non-Gaussian Models
We present a Bayesian approach to color constancy which utilizes a nonGaussian probabilistic model of the image formation process. The parameters of this model are estimated direc...
Charles R. Rosenberg, Thomas P. Minka, Alok Ladsar...
ICIP
1997
IEEE
16 years 8 months ago
Segmentation of Compressed Documents
We present a novel technique for segmentation of a JPEGcompressed documentbased on block activity. The activity is measured as the number of bits spent to encode each block. Each ...
Ricardo L. de Queiroz, Reiner Eschbach
ACCV
2007
Springer
16 years 21 days ago
Color Constancy Via Convex Kernel Optimization
This paper introduces a novel convex kernel based method for color constancy computation with explicit illuminant parameter estimation. A simple linear render model is adopted and ...
Xiaotong Yuan, Stan Z. Li, Ran He
CAIP
1999
Springer
115views Image Analysis» more  CAIP 1999»
15 years 10 months ago
EigenHistograms: Using Low Dimensional Models of Color Distribution for Real Time Object Recognition
Abstract. Distribution of object colors has been used in computer vision for recognition and indexing. Most of the recent approaches to this problem have been focused on de ning op...
Jordi Vitrià, Petia Radeva, Xavier Binefa