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ICIP
2006
IEEE
15 years 11 months ago
Spatio-Temporal Scene Level Error Concealment for Shape and Texture Data in Segmented Video Content
In this paper, a novel shape and texture error concealment technique for segmented object-based video scenes is proposed. This technique is different from existing concealment tec...
Luis Ducla Soares, Fernando Pereira
AAAI
2011
13 years 10 months ago
A Scalable Tree-Based Approach for Joint Object and Pose Recognition
Recognizing possibly thousands of objects is a crucial capability for an autonomous agent to understand and interact with everyday environments. Practical object recognition comes...
Kevin Lai, Liefeng Bo, Xiaofeng Ren, Dieter Fox
IJCV
2008
151views more  IJCV 2008»
14 years 10 months ago
Describing Visual Scenes Using Transformed Objects and Parts
We develop hierarchical, probabilistic models for objects, the parts composing them, and the visual scenes surrounding them. Our approach couples topic models originally developed...
Erik B. Sudderth, Antonio Torralba, William T. Fre...
CVPR
2009
IEEE
16 years 4 months ago
Learning Mixed Templates for Object Recognition
This article proposes a method for learning object templates composed of local sketches and local textures, and investigates the relative importance of the sketches and textures ...
Haifeng Gong, Song Chun Zhu, Ying Nian Wu, Zhangzh...
AVSS
2009
IEEE
15 years 3 months ago
Comparative Evaluation of Stationary Foreground Object Detection Algorithms Based on Background Subtraction Techniques
In several video surveillance applications, such as the detection of abandoned/stolen objects or parked vehicles, the detection of stationary foreground objects is a critical task...
Álvaro Bayona, Juan Carlos San Miguel, Jos&...