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  1. Proceedings of the 3rd International Workshop on Multicore Software Engineering (IWMSE '10)
  2. Towards efficient video compression using scalable vector graphics on the Cell/B.E.
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Automatic parallelization of programming languages: past, present and future
Writing concurrent desktop applications in an actor-based programming model
Towards efficient video compression using scalable vector graphics on the Cell/B.E.
IMUnit: improved multithreaded unit testing
JCudaMP: OpenMP/Java on CUDA
Enabling multi-core based monitoring and fault tolerance in C++/Java
You are not alone: breaking transaction isolation
Predicting multi-core performance: a case study using Solaris containers
Concurrency design patterns, software quality attributes and their tactics
Challenges in operating-systems reengineering for many cores
The correlation between parallel patterns and multi-core benchmarks
Dynamic reconfiguration in NoC-based MPSoCs in the avionics domain

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Towards efficient video compression using scalable vector graphics on the Cell/B.E.

Content Provider ACM Digital Library
Author Sluşanschi, Emil Muraraşu, Alin Şerban, Andreea Herişanu, Alexandru Sandu, Andreea Stoenescu, Teodor
Abstract With the emergence of multi-core CPUs, parallel computing has made the leap from being a paradigm mainly used in high performance computing to imposing itself as one of the standards used in mainstream computing. The field of video compression and decompression naturally embraces parallel computing since video compression is a computationally intensive task that can be successfully distributed among two or more computing cores. This paper describes a different approach to video compression based on image vectorization on the novel Cell/B.E. architecture. Video frames are analyzed and interesting features such as edges, corners and patches are extracted, with significant performance speedups obtained on the Cell processor and maintaining good image quality. Finally, the features and the topological relations between them are used to reconstruct the original image.
Starting Page 26
Ending Page 31
Page Count 6
File Format PDF
ISBN 9781605589640
DOI 10.1145/1808954.1808962
Language English
Publisher Association for Computing Machinery (ACM)
Publisher Date 2010-05-01
Publisher Place New York
Access Restriction Subscribed
Subject Keyword Cell/b.e. programming Multi-core Image vectorization Video compression
Content Type Text
Resource Type Article
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