Exploration of encoding time reduction solutions for intra-frame prediction of VVC encoders

Detalhes bibliográficos
Ano de defesa: 2021
Autor(a) principal: Saldanha, Mário Roberto de Freitas
Orientador(a): Agostini, Luciano Volcan
Banca de defesa: Não Informado pela instituição
Tipo de documento: Tese
Tipo de acesso: Acesso aberto
Idioma: por
Instituição de defesa: Universidade Federal de Pelotas
Programa de Pós-Graduação: Programa de Pós-Graduação em Computação
Departamento: Centro de Desenvolvimento Tecnológico
País: Brasil
Palavras-chave em Português:
VVC
Área do conhecimento CNPq:
Link de acesso: http://guaiaca.ufpel.edu.br/handle/prefix/8176
Resumo: The Versatile Video Coding (VVC) standard was developed to supply the current demand for the upcoming video applications, enabling higher compression performance than previous video coding standards and high versatility to adapt to different types of applications and videos. VVC brings several innovations and enhancements in the coding modules, including larger block sizes, more flexible block partitioning, more angular intra-frame prediction modes, affine motion compensation, and multiple transform selection. Although VVC can provide a high compression performance, these new tools significantly increased the encoding effort. This Thesis proposes timesaving solutions to reduce the encoding effort of the VVC intra-frame prediction. A performance analysis of VVC intra-frame prediction is firstly presented to identify the most time-consuming modules that must be prioritized to accomplish the objective of this work. Subsequently, timesaving solutions based on heuristic and machine learning approaches are presented regarding different intra-frame prediction steps of VVC encoding, including block partitioning of luminance and chrominance samples, mode selection of luminance samples, and the transform selection of luminance samples. It was possible to achieve between 8.5% and 61.3% of encoding time reduction with Bjontegaard Delta Bit Rate (BDBR) ranging from 0.4% to 2.4%. These solutions presented competitive results when compared to the related works.