Compression of Multi-View-plus-Depth (MVD) data: from perceived quality analysis to MVD coding tools designing
type: Dataset
description: This thesis is meant to investigate new multi-view-plus-depth (MVD) coding frameworks limiting as much as possible the perceptible distortions occurring in the views synthesized from decompressed data. Our objectives thus particularly concern the development of perceptually driven tools in the context of MVD coding. The difficulties we tackle lie in the fact that not only the distortions sources are multiple but there is no dedicated quality assessment tool for this specific type of data. For this reason, this thesis is focused on two main issues: the synthesized views quality evaluation and their specific artifacts and the conception of new compression scheme for MVD data based on perceived quality criteria. In this thesis, we conducted several studies in order to qualify DIBR related artifacts in synthesized views. Student's t-test results from ACR-HR and Paired Comparisons scores have led to the determination of reliability of usual subjective image/video quality assessment methods when used for the evaluation of synthesized views. The performances of usual objective image/video quality metrics has been evaluated through their correlations with subjective scores. We then focused on depth maps compression. We proposed two depth map coding schemes that are based on a compression method for 2D still images, namely LAR method. Based on our observations and experimentations, we proposed a representation and coding strategy that meets the need for depth edges preservation while ensuring high compression rate. Comparisons with state-of-the-art codecs such as H.264/AVC and HEVC showed improvements in terms of visual quality at low bit-rates. We also conducted studies regarding the bit-rate allocation issue in the context of MVD coding. The results of this thesis can be useful for the conception of new image/video quality assessment protocols, in the context of MVD; for the conception of new objective quality metrics; for improving MVD coding schemes by integrating our pr…
issued: 2026-05-15T04:56:50.821880
language: en
modified: 2026-05-15T04:56:50.821885
contact point: Organization
  fn: CCSD
keyword: 3d-video
keyword: 3dtv
keyword: acr-hr
keyword: carte-de-profondeur
keyword: compression
keyword: depth-map
keyword: evaluation-de-qualite
keyword: ftv
keyword: h264
keyword: hevc
keyword: infoeu-reposemanticsdoctoralthesis
keyword: infoinfo-tscomputer-science-cssignal-and-image-processing
keyword: lar
keyword: multi-view
keyword: mvd
keyword: pc
keyword: quality-evaluation
keyword: spisignalengineering-sciences-physicssignal-and-image-processing
keyword: theses
keyword: video-3d
landing page: https://theses.hal.science/tel-00777710

Compression of Multi-View-plus-Depth (MVD) data: from perceived quality analysis to MVD coding tools designing
type: Distribution
format: HTML
issued: 2026-05-15T04:56:50.888359
modified: 2026-05-15T04:56:50.783752
access URL: https://theses.hal.science/tel-00777710

test_moissonnage_selune
type: Agent