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» Two Dimensional Compressive Classifier for Sparse Images
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CORR
2012
Springer
225views Education» more  CORR 2012»
12 years 3 months ago
Compressive Principal Component Pursuit
We consider the problem of recovering a target matrix that is a superposition of low-rank and sparse components, from a small set of linear measurements. This problem arises in co...
John Wright, Arvind Ganesh, Kerui Min, Yi Ma
SAC
2003
ACM
14 years 24 days ago
An Adaptive Three-Dimensional DCT Compression Based on Motion Analysis
In this paper, we propose an adaptive 3D-DCT compression technique, which dynamically determines an optimal size of the video cube based on the motion analysis. The technique cons...
Borko Furht, Ken Gustafson, Hesong Huang, Oge Marq...
ECCV
2008
Springer
14 years 9 months ago
Compressive Sensing for Background Subtraction
Abstract. Compressive sensing (CS) is an emerging field that provides a framework for image recovery using sub-Nyquist sampling rates. The CS theory shows that a signal can be reco...
Volkan Cevher, Aswin C. Sankaranarayanan, Marco F....
ICCV
2003
IEEE
14 years 9 months ago
Image Spaces and Video Trajectories: Using Isomap to Explore Video Sequences
Dimensionality reduction techniques seek to represent a set of images as a set of points in a low dimensional space. Here we explore a video representation that considers a video ...
Robert Pless
ICIP
2003
IEEE
14 years 9 months ago
Compressed domain human motion recognition using motion history information
In this paper we present a system for classifying various human actions in compressed domain video framework. We introduce the notion of quantifying the motion involved, through w...
R. Venkatesh Babu, K. R. Ramakrishnan