Title
Compressive video classification in a low-dimensional manifold with learned distance metric
Abstract
In this paper, we introduce an architecture for addressing the problem of video classification based on a set of compressed features, without the need of accessing the original full-resolution video data. In particular, the video frames are acquired directly in a compressed domain by means of random projections associated with a set of compressive measurements. This initial dimensionality reduction step is followed by distance metric learning for the construction of an informative distance matrix, which is then embedded in a manifold learning approach to increase the discriminative power of the random measurements in a lower-dimensional space. Classification results using a set of activity videos suggest that the proposed approach can be used effectively in cases when the acquisition and processing of full-resolution video data is characterized by increased consumption of the available power, memory and bandwidth, which may impede the operation of systems with limited resources.
Year
Venue
Keywords
2012
Signal Processing Conference
data compression,image classification,learning (artificial intelligence),matrix algebra,video coding,activity videos,compressive measurements,compressive video classification,distance metric learning,full-resolution video data,informative distance matrix,learned distance metric,low-dimensional manifold,lower-dimensional space,manifold learning approach,random projections,video frames,Compressive video classification,distance metric learning,manifold learning
Field
DocType
ISSN
Computer vision,Semi-supervised learning,Dimensionality reduction,Pattern recognition,Metric (mathematics),Manifold alignment,Video tracking,Artificial intelligence,Distance matrix,Nonlinear dimensionality reduction,Video compression picture types,Mathematics
Conference
2219-5491
ISBN
Citations 
PageRank 
978-1-4673-1068-0
0
0.34
References 
Authors
7
4
Name
Order
Citations
PageRank
George Tzagkarakis113917.94
Grigorios Tsagkatakis212221.53
Jean-Luc Starck31183122.27
P. Tsakalides4954120.69