A Machine Learning Approach to Accurate Sequence-Level Rate Control Scheme for Video Coding

Citation Author(s):: Zhu Li
Submitted by:: Zhu Li
Last updated:: 8 October 2018 - 2:50am
Document Type:: Presentation Slides
Document Year:: 2018
Event:: ICIP 2018
Presenters:: Zhu Li
Paper Code:: 2722

Categories:: Image/Video Coding

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Machine learning for CRF-Rate modeling in transcoding

A machine learning approach to accurate sequence-level rate control scheme for video coding.1.1.pdf

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