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» On Learning Shapes from Shades
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ICCV
2009
IEEE
14 years 11 months ago
Image Saliency by Isocentric Curvedness and Color
In this paper we propose a novel computational method to infer visual saliency in images. The method is based on the idea that salient objects should have local characteristics tha...
Roberto Valenti
ICMCS
2005
IEEE
112views Multimedia» more  ICMCS 2005»
14 years 2 months ago
Segment-based approach to the recognition of emotions in speech
A new framework for the context and speaker independent recognition of emotions from voice, based on a richer and more natural representation of the speech signal, is proposed. Th...
Mohammad T. Shami, Mohamed S. Kamel
ICIP
2009
IEEE
13 years 6 months ago
Labelfaces: Parsing facial features by multiclass labeling with an epitome prior
We consider the problem of parsing facial features from an image labeling perspective. We learn a per-pixel unary classifier, and a prior over expected label configurations, allow...
Jonathan Warrell, Simon J. D. Prince
ICPR
2004
IEEE
14 years 10 months ago
Multi-Resolution Template Kernels
Domains in which shapes of objects change rapidly and significantly are a challenge for existing representation techniques: sport is a good example of this. We present a texture-b...
Chris J. Needham, Roger D. Boyle
ISBI
2009
IEEE
14 years 3 months ago
Bridging the Semantic Gap Using Ranking Svm for Image Retrieval
One of the main challenges for Content-Based Image Retrieval (CBIR) is to achieve meaningful mappings between the high-level semantic concepts and the low-level visual features in...
Haiying Guan, Sameer Antani, L. Rodney Long, Georg...