Layered Depth Images for Multi-View Coding
type: Dataset
description: This thesis presents an advanced framework for multi-view plus depth video processing and compression based on the concept of layered depth image (LDI). Several contributions are proposed for both depth-image based rendering and LDI construction and compression. The first contribution is a novel virtual view synthesis technique called Joint Projection Filling (JPF). This technique takes as input any image plus depth content and provides a virtual view in general position and performs image warping while detecting and filling cracks and other small disocclusions. A pixel confidence measure is introduced to avoid ghosting artifacts in the rendered views. For intermediate view interpolation, JPF is used in collaboration with a floating texture realignment technique. For virtual view extrapolation, JPF is combined with a novel full-Z depth aided inpainting technique. In order to efficiently encode the proposed LDI representation, a compression scheme based on MVC/AVC standard is adapted to exploit both temporal redundancies and inter-layer redundancies in the LDI sequence. An incremental construction scheme for the LDI is proposed, called I-LDI. This construction scheme reduces the completion rate of additional layers. An object-based layer organization of the LDI is then presented which ensures spatial consistency of each layer, and thus improves compression efficiency in comparison with a standard AVC/MVC scheme in rate-constrained context. Two rendering methods are finally proposed: the first one uses the JPF method, while the second one uses a 3D mesh for real-time rendering on an eight-views auto-stereoscopic display.
issued: 2026-05-14T11:55:26.063998
language: en
modified: 2026-05-14T11:55:26.064004
contact point: Organization
  fn: CCSD
keyword: compression
keyword: depth
keyword: image
keyword: infoeu-reposemanticsdoctoralthesis
keyword: infoinfo-mmcomputer-science-csmultimedia-csmm
keyword: layered
keyword: multi-view
keyword: multi-vues
keyword: theses
keyword: video
landing page: https://theses.hal.science/tel-00758301

Layered Depth Images for Multi-View Coding
type: Distribution
format: HTML
issued: 2026-05-14T11:55:26.089306
modified: 2026-05-14T11:55:26.043561
access URL: https://theses.hal.science/tel-00758301

test_moissonnage_selune
type: Agent