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» Describing Visual Scenes Using Transformed Objects and Parts
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TMM
2010
241views Management» more  TMM 2010»
14 years 6 months ago
Mining Compositional Features From GPS and Visual Cues for Event Recognition in Photo Collections
As digital cameras with Global Positioning System (GPS) capability become available and people geotag their photos using other means, it is of great interest to annotate semantic e...
Junsong Yuan, Jiebo Luo, Ying Wu
MIR
2004
ACM
236views Multimedia» more  MIR 2004»
15 years 5 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...
IJCV
2002
96views more  IJCV 2002»
14 years 11 months ago
A VLSI-Compatible Computer Vision Algorithm for Stereoscopic Depth Analysis in Real-Time
The analysis of the depth coordinates of objects in a visual scene is of vital importance for animals as well as in technological applications like autonomous robot navigation or p...
Bernd Porr, Bernd Nürenberg, Florentin Wö...
IJCV
2007
113views more  IJCV 2007»
14 years 11 months ago
Vision and Rain
The visual effects of rain are complex. Rain produces sharp intensity changes in images and videos that can severely impair the performance of outdoor vision systems. In this paper...
Kshitiz Garg, Shree K. Nayar
PR
2007
96views more  PR 2007»
14 years 11 months ago
Weighted and robust learning of subspace representations
A reliable system for visual learning and recognition should enable a selective treatment of individual parts of input data and should successfully deal with noise and occlusions....
Danijel Skocaj, Ales Leonardis, Horst Bischof