Paper
19 April 2004 Graphics hardware for gradient-based motion estimation
Francis Kelly, Anil Kokaram
Author Affiliations +
Proceedings Volume 5309, Embedded Processors for Multimedia and Communications; (2004) https://doi.org/10.1117/12.526742
Event: Electronic Imaging 2004, 2004, San Jose, California, United States
Abstract
Motion estimation and compensation is a key component in video procesing. Motion estimation is necessary for high quality compression. It is also a key component in archive video restoration and motion picture post-production. Very accurate motion vectors are usually required in the latter two applications. More accurate motion vectors can also lead to greater coding efficiency. Real-time, accurate motion estimation is currently not attainable on standard desktop PCs. It usually requires some kind of dedicated hardware such as on video coding chips. Gradient based motion estimation is one which gives good accuracy for reasonable computational cost. This paper uses the Wiener based motion estimator as a vehicle to explore the acceleration of gradient based motion estimation on the PC.
© (2004) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Francis Kelly and Anil Kokaram "Graphics hardware for gradient-based motion estimation", Proc. SPIE 5309, Embedded Processors for Multimedia and Communications, (19 April 2004); https://doi.org/10.1117/12.526742
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CITATIONS
Cited by 9 scholarly publications.
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KEYWORDS
Motion estimation

Visualization

Linear filtering

Image processing

Video

Gaussian filters

Video compression

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