Title | ||
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Compressive video classification in a low-dimensional manifold with learned distance metric |
Abstract | ||
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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 |
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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 Tzagkarakis | 1 | 139 | 17.94 |
Grigorios Tsagkatakis | 2 | 122 | 21.53 |
Jean-Luc Starck | 3 | 1183 | 122.27 |
P. Tsakalides | 4 | 954 | 120.69 |