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» Supervised Color Image Segmentation in a Markovian Framework
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VISSYM
2004
13 years 6 months ago
Illustrating Surfaces in Volume
This paper presents a novel framework for illustrating surfaces in a volume. Surfaces are illustrated by drawing only feature lines, such as silhouettes, valleys, ridges, and surf...
Xiaoru Yuan, Baoquan Chen
ECCV
2006
Springer
14 years 7 months ago
Specularity Removal in Images and Videos: A PDE Approach
We present a unified framework for separating specular and diffuse reflection components in images and videos of textured scenes. This can be used for specularity removal and for i...
Satya P. Mallick, Todd Zickler, Peter N. Belhumeur...
CVIU
2006
110views more  CVIU 2006»
13 years 5 months ago
Simultaneous tracking of multiple body parts of interacting persons
This paper presents a framework to simultaneously segment and track multiple body parts of interacting humans in the presence of mutual occlusion and shadow. The framework uses mu...
Sangho Park, Jake K. Aggarwal
MIR
2004
ACM
236views Multimedia» more  MIR 2004»
13 years 10 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...
KDD
2012
ACM
205views Data Mining» more  KDD 2012»
11 years 7 months ago
Rank-loss support instance machines for MIML instance annotation
Multi-instance multi-label learning (MIML) is a framework for supervised classification where the objects to be classified are bags of instances associated with multiple labels....
Forrest Briggs, Xiaoli Z. Fern, Raviv Raich