Improved hard-decision quantization with decision tree for HEVC video compression

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3 Scopus citations

Abstract

In this paper, we design an improved hard-decision quantization (HDQ) scheme for HEVC compression. A decision tree model is generated based on the behavior of the soft-decision quantization (SDQ) in HEVC, and it is utilized to help making decision for each quantized level in the proposed HDQ. Experimental results show that our proposed quantization scheme achieves an average of 3.11% coding gain compared to the conventional HDQ and it provides a more hardware friendly implementation than SDQ.

Original languageEnglish
Title of host publicationProceedings - DCC 2020
Subtitle of host publicationData Compression Conference
EditorsAli Bilgin, Michael W. Marcellin, Joan Serra-Sagrista, James A. Storer
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages401
Number of pages1
ISBN (Electronic)9781728164571
DOIs
StatePublished - Mar 2020
Event2020 Data Compression Conference, DCC 2020 - Snowbird, United States
Duration: 24 Mar 202027 Mar 2020

Publication series

NameData Compression Conference Proceedings
Volume2020-March
ISSN (Print)1068-0314

Conference

Conference2020 Data Compression Conference, DCC 2020
Country/TerritoryUnited States
CitySnowbird
Period24/03/2027/03/20

Keywords

  • Decision tree
  • Hard decision quantization
  • Video coding

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