JOURNAL ARTICLE

Interactive optimization of video compression algorithms on massively parallel computers

Abstract

This paper presents a new technique which allows interactive optimization of video compression algorithms using massively parallel computers such as the CRAY T3D. This work aims to exploit as much as possible the parallel nature of digital image processing algorithms to obtain almost real-time computing with the exibility of a software implementation. Thanks to this low computation time, interactive tools have been developed which allow easy and fast visual evaluation of image quality. This leads to signi cant productivity gain when developing new video compression techniques. Our approach has been validated on advanced region-based video compression algorithms. The interactive facilities o ered by the proposed technique permit the accurate optimization of the algorithm parameters in few minutes, where several days were previously needed. Depending on the complexity of the compression algorithms, 8-12 images are compressed, decompressed and visualized per second. 1

Keywords:
Computer science Massively parallel Data compression Parallel computing Computer graphics (images) Compression (physics) Algorithm

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Topics

Advanced Data Compression Techniques
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition
Video Coding and Compression Technologies
Physical Sciences →  Computer Science →  Signal Processing
Image and Video Quality Assessment
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition

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