Rate Control for Slimmable Video Codec using Multilayer Perceptron

Defa Wang, Zhiwei Zhu, Shuai Wan, Fei Yang, Luis Herranz

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

As a flexible design for practical end-to-end video compression, slimmable video coding achieves variable rate coding with an adaptable complexity. In this paper, rate control using a multilayer perceptron is proposed to achieve accurate bitrate control for slimmable video coding. An average bitrate error of less than 0.3% is achieved on tested sequences at a slight decrease in the rate-distortion performance. Furthermore, the results show that there is no overflow or underflow in the buffer occupancy during the rate control process.

Original languageEnglish
Title of host publicationISCAS 2024 - IEEE International Symposium on Circuits and Systems
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9798350330991
DOIs
StatePublished - 2024
Event2024 IEEE International Symposium on Circuits and Systems, ISCAS 2024 - Singapore, Singapore
Duration: 19 May 202422 May 2024

Publication series

NameProceedings - IEEE International Symposium on Circuits and Systems
ISSN (Print)0271-4310

Conference

Conference2024 IEEE International Symposium on Circuits and Systems, ISCAS 2024
Country/TerritorySingapore
CitySingapore
Period19/05/2422/05/24

Keywords

  • MLP
  • neural video codec
  • rate control

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