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» Video Objects Segmentation by Robust Background Modeling
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ICCV
2011
IEEE
12 years 7 months ago
Informative Feature Selection for Object Recognition via Sparse PCA
Bag-of-words (BoW) methods are a popular class of object recognition methods that use image features (e.g., SIFT) to form visual dictionaries and subsequent histogram vectors to r...
Nikhil Naikal, Allen Y. Yang, S. Shankar Sastry
ICIP
2003
IEEE
14 years 9 months ago
Adaptively weighted update steps in motion compensated lifting based scalable video compression
Motion-compensated temporal wavelet decomposition is a useful framework for fully scalable video compression schemes. In this paper we propose a new approach to reduce the ghostin...
Nagita Mehrseresht, David Taubman
ICMCS
2008
IEEE
206views Multimedia» more  ICMCS 2008»
14 years 2 months ago
Redundant motion vectors for improved error resilience in H.264/AVC coded video
This proposal presents a new error robust strategy for encoding redundant pictures for the H.264/AVC standard. The method is based on providing motion vectors as redundant data, i...
Maheshi B. Dissanayake, Chaminda T. E. R. Hewage, ...
CG
2010
Springer
13 years 7 months ago
Realistic cloth augmentation in single view video under occlusions
Augmenting cloth in real video is a challenging task because cloth performs complex motions and deformations and produces complex shading on the surface. Therefore, for a realisti...
Anna Hilsmann, David C. Schneider, Peter Eisert
AMFG
2005
IEEE
155views Biometrics» more  AMFG 2005»
14 years 1 months ago
Linear Programming for Matching in Human Body Gesture Recognition
We present a novel human body gesture recognition method using a linear programming based matching scheme. Instead of attempting to segment an object from the background, we develo...
Hao Jiang, Ze-Nian Li, Mark S. Drew