Optimized Decoding-Energy-Aware Encoding In Practical VVC Implementations-Reference-Cited by-同舟云学术

Optimized Decoding-Energy-Aware Encoding In Practical VVC Implementations

Published:2022-10-16 Issue: Volume: Page:
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Container-title:2022 IEEE International Conference on Image Processing (ICIP)
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Author:

Kranzler Matthias¹,Wieckowski Adam²,Ramasubbu Geetha¹,Bross Benjamin²,Kaup Andre¹,Marpe Detlev²,Herglotz Christian¹

Affiliation:

1. Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU),Multimedia Communications and Signal Processing,Erlangen,Germany

2. Fraunhofer Heinrich-Hertz Institute (HHI),Video Communication and Applications Department,Berlin,Germany

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9897158/9897159/09897896.pdf?arnumber=9897896

Reference26 articles.

1. Energy Efficient Video Decoding for VVC Using a Greedy Strategy Based Design Space Exploration;kränzler;IEEE Trans Circ and Sys for Video Tech,2021

2. A Comparative Analysis of the Time and Energy Demand of Versatile Video Coding and High Efficiency Video Coding Reference Decoders

3. Vvenc: An Open And Optimized Vvc Encoder Implementation

4. VVC test model reference software (VTM),0

5. Decoding-Energy-Rate-Distortion Optimization for Video Coding

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