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CLOR
2006
13 years 11 months ago
Generative Models for Labeling Multi-object Configurations in Images
Abstract. We propose a generative approach to the problem of labeling images containing configurations of objects from multiple classes. The main building blocks are dense statisti...
Yali Amit, Alain Trouvé
CHI
2006
ACM
14 years 8 months ago
Improving accessibility of the web with a computer game
Images on the Web present a major accessibility issue for the visually impaired, mainly because the majority of them do not have proper captions. This paper addresses the problem ...
Luis von Ahn, Shiry Ginosar, Mihir Kedia, Ruoran L...
CVPR
2004
IEEE
14 years 10 months ago
Multiscale Conditional Random Fields for Image Labeling
We propose an approach to include contextual features for labeling images, in which each pixel is assigned to one of a finite set of labels. The features are incorporated into a p...
Miguel Á. Carreira-Perpiñán, ...
ICPR
2010
IEEE
13 years 11 months ago
Efficient Learning to Label Images
Conditional random field methods (CRFs) have gained popularity for image labeling tasks in recent years. In this paper, we describe an alternative discriminative approach, by exte...
Ke Jia, Li Cheng, Nianjun Liu, Lei Wang
CVPR
2012
IEEE
11 years 10 months ago
Structured Local Predictors for image labelling
In this paper we introduce Structured Local Predictors (SLP) – A new formulation that considers the image labelling problem from a structured learning point of view. SLP are loc...
Samuel Rota Bulò, Peter Kontschieder, Marce...