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» Foreground Object Detection Using Two Successive Images
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110
Voted
CVPR
2010
IEEE
15 years 10 months ago
The chains model for detecting parts by their context
Detecting an object part relies on two sources of information - the appearance of the part itself, and the context supplied by surrounding parts. In this paper we consider problem...
Leonid Karlinsky, Michael Dinerstein, Daniel Harar...
ICCV
2009
IEEE
16 years 7 months ago
Joint learning of visual attributes, object classes and visual saliency
We present a method to learn visual attributes (eg.“red”, “metal”, “spotted”) and object classes (eg. “car”, “dress”, “umbrella”) together. We assume imag...
Gang Wang, David Forsyth
MIR
2004
ACM
236views Multimedia» more  MIR 2004»
15 years 8 months ago
Boosting contextual information in content-based image retrieval
We present a new framework for characterizing and retrieving objects in cluttered scenes. This CBIR system is based on a new representation describing every object taking into acc...
Jaume Amores, Nicu Sebe, Petia Radeva, Theo Gevers...
105
Voted
ICPR
2010
IEEE
15 years 2 months ago
Connected Component Trees for Multivariate Image Processing and Applications in Astronomy
In this paper, we investigate the possibilities offered by the extension of the connected component trees (cc-trees) to multivariate images. We propose a general framework for ima...
Benjamin Perret, Sébastien Lefèvre, ...
123
Voted
CVPR
2003
IEEE
16 years 4 months ago
Object Removal by Exemplar-Based Inpainting
A new algorithm is proposed for removing large objects from digital images. The challenge is to fill in the hole that is left behind in a visually plausible way. In the past, this...
Antonio Criminisi, Kentaro Toyama, Patrick P&eacut...