Paper
1 May 2017 Information fusion based techniques for HEVC
Author Affiliations +
Abstract
Aiming at the conflict circumstances of multi-parameter H.265/HEVC encoder system, the present paper introduces the analysis of many optimizations' set in order to improve the trade-off between quality, performance and power consumption for different reliable and accurate applications. This method is based on the Pareto optimization and has been tested with different resolutions on real-time encoders.
© (2017) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
D. G. Fernández, A. A. Del Barrio, Guillermo Botella, Uwe Meyer-Baese, Anke Meyer-Baese, and Christos Grecos "Information fusion based techniques for HEVC", Proc. SPIE 10223, Real-Time Image and Video Processing 2017, 102230M (1 May 2017); https://doi.org/10.1117/12.2262604
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CITATIONS
Cited by 3 scholarly publications.
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KEYWORDS
Computer programming

Video

Video compression

Video coding

Quantization

Copper

Detection and tracking algorithms

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