NDLI: RBF based spatio-temporal representation technique for video compression

Content Provider	ACM Digital Library
Author	Mathur, Mona Mehta, Kartik Chaudhury, Santanu Lall, Brejesh
Abstract	Parametric coding is a technique in which data is processed to extract meaningful information and then representing it compactly using appropriate parameters. Parametric Coding exploits redundancy in information to provide a very compact representation and thus achieves very high compression ratios. However, this is achieved at the cost of higher computation complexity. This disadvantage is now being offset by the availability of high speed processors, thus making it possible to exploit the high compression ratios of the parametric video coding techniques. In this paper a novel idea for efficient parametric representation of video is proposed. We perform Oct-Tree Decomposition on a video stack, followed by parameter extraction using Radial Basis Function Networks (RBFN) to achieve exceptionally high compression ratios, even higher than the state of art H.264 codec. The proposed technique exploits spatial-temporal redundancy and therefore inherently achieves multiframe prediction.
Starting Page	485
Ending Page	489
Page Count	5
File Format	PDF
ISBN	9781450300605
DOI	10.1145/1924559.1924624
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	2010-12-12
Publisher Place	New York
Access Restriction	Subscribed
Subject Keyword	Radial basis functions Spatio-temporal modeling Oct-tree decomposition
Content Type	Text
Resource Type	Article

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RBF based spatio-temporal representation technique for video compression