Fabian Jäger

Segment-wise Coding of Texture and Depth Components in 3D Video


Front	Back

ISBN:

978-3-8440-4343-3

Series:

Aachen Series on Multimedia and Communications Engineering
Herausgeber: Univ.-Prof. Dr.-Ing. Jens-Rainer Ohm
Aachen

Volume:

Keywords:

video coding; 3D video; depth map; motion

Type of publication:

Thesis

Language:

English

Pages:

186 pages

Weight:

276 g

Format:

21 x 14,8 cm

Bindung:

Paperback

Price:

48,80 € / 61,10 SFr

Published:

March 2016

Buy:

Download:

Available PDF-Files for this title:

You need the Adobe Reader, to open the files. Here you get help and information, for the download.

These files are not printable.


	Document		Document
	Type		PDF
	Costs		12,20 EUR
	Action		Purchase in obligation and display of file - 3,9 MB (4113892 Byte)
	Action		Purchase in obligation and download of file - 3,9 MB (4113892 Byte)


	Document		Table of contents
	Type		PDF
	Costs		free
	Action		Diplay of file - 52 kB (53328 Byte)
	Action		Download of file - 52 kB (53328 Byte)

User settings for registered users

You can change your address here or download your paid documents again.

User:	Not logged in.
Actions:	Login / Register Forgotten your password?

Recommendation:

You want to recommend this title?

Review copy

Here you can order a review copy.

Link

You want to link this page? Click here.

Abstract

In this work, two elements of technology are developed in the context of 3D-HEVC.

Firstly, a segment-wise representation of depth maps by constant depth values and secondly, a segment-based motion compensation scheme, which allows for more precise representation of motion or disparity discontinuities between two segments.

The first algorithm works as an alternative to the conventional residual coding scheme of HEVC. It partitions a block into up to two arbitrarily shaped segments and codes a single DC offset value per resulting segment. Moreover, a depth lookup table is used for the transformation of residual values into index values with a significantly lower dynamic range, which can provide further compression benefit. The second algorithm allows approximating arbitrarily shaped discontinuities in the disparity or motion vector fields used for video texture prediction by incorporating segmentation information from the collocated depth map.

Whether a simplified representation of depth information might also be sufficient for a good 3D video rendering quality is additionally investigated in a subjective study on the necessary precision of depth information. It turns out that this only holds as long as the simplification process preserves the location of depth discontinuities. Based on these observations, it can be concluded that compression efficiency improvements with respect to perceptually optimized visual quality are even more significant.