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» Computing Visual Attention from Scene Depth
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ICIP
2003
IEEE
15 years 13 days ago
Top-down control of visual attention in object detection
Current computational models of visual attention focus on bottom-up information and ignore scene context. However, studies in visual cognition show that humans use context to faci...
Aude Oliva, Antonio B. Torralba, Monica S. Castelh...
CVPR
2005
IEEE
14 years 4 months ago
A Slit Scanning Depth of Route Panorama from Stationary Blur
This work achieves an efficient acquisition of scenes and their depths along streets. During the movement of a vehicle, a slit in the camera frame is set properly to sample scenes...
Min Shi, Jiang Yu Zheng
ICMCS
2008
IEEE
156views Multimedia» more  ICMCS 2008»
14 years 5 months ago
Human attention model for semantic scene analysis in movies
In this paper, we specifically propose the Weber-Fechner Law-based human attention model for semantic scene analysis in movies. Different from traditional video processing techniq...
Anan Liu, Yongdong Zhang, Yan Song, Dongming Zhang...
ICPR
2008
IEEE
15 years 1 days ago
Nonparametric Bayesian attentive video analysis
We address the problem of object-based visual attention from a Bayesian standpoint. We contend with the issue of joint segmentation and saliency computation suitable to provide a ...
Giuseppe Boccignone
3DPVT
2006
IEEE
240views Visualization» more  3DPVT 2006»
14 years 4 months ago
Global Depth from Epipolar Volumes--A General Framework for Reconstructing Non-Lambertian Surfaces
Using Epipolar Image Analysis in the context of the correspondence finding problem in depth reconstruction has several advantages. One is the elegant incorporation of prior knowl...
Timo Stich, Art Tevs, Marcus A. Magnor