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Scalable trellis quantization for JPEG XS

 
: Richter, T.

:

Bilgin, A. ; Institute of Electrical and Electronics Engineers -IEEE-; IEEE Signal Processing Society:
Data Compression Conference, DCC 2020. Proceedings : 24-27 March 2020, Snowbird, Utah, USA, Virtual Conference
Los Alamitos, Calif.: IEEE Computer Society Conference Publishing Services (CPS), 2020
ISBN: 978-1-7281-6457-1
ISBN: 978-1-7281-6458-8
S.390
Data Compression Conference (DCC) <2020, Online>
Englisch
Konferenzbeitrag
Fraunhofer IIS ()

Abstract
Trellis quantization as structured vector quantizer is able to improve the rate-distortion performance of traditional scalar quantizers. In this work, a trellis quantization option for JPEG XS is considered and analyzed; JPEG XS is a low-complexity, low-latency high-speed 'mezzanine'' codec for Video over IP transmission in professional production environments and industrial applications where high compression rates are of lesser importance than visual lossless compression at high speed.

: http://publica.fraunhofer.de/dokumente/N-602821.html