Depth video coding based on intra mode inheritance from texture. (7th January 2014)
- Record Type:
- Journal Article
- Title:
- Depth video coding based on intra mode inheritance from texture. (7th January 2014)
- Main Title:
- Depth video coding based on intra mode inheritance from texture
- Authors:
- Mora, Elie Gabriel
Jung, Joel
Cagnazzo, Marco
Pesquet-Popescu, Béatrice - Abstract:
- <abstract abstract-type="normal"> <title> <x content-type="archive" xml:space="preserve">Abstract</x> </title> <p>With the recent development of new three-dimensional (3D) multimedia services such as 3D television or free viewpoint television, a new 3D video format, called multiview video + depth (MVD) is currently being investigated. MVD allows synthesizing as many views as required at the receiver side, thus providing smooth scene transitions and the ability to experience a new 3D perspective with each different viewing point. The format introduces, alongside traditional 2D image sequences, sequences of depth maps, which must be efficiently coded to achieve good quality for the synthesized views. One approach to code depth videos is to exploit the correlations between texture and depth. In this work, we propose a new tool to code depth videos in which the texture Intra modes are inherited and used as predictors for the depth Intra modes, hence reducing the mode signaling bitrate. The tool is only used in prediction units where texture and depth Intra directions, or modes, are expected to match. Two criteria that exploit the statistical dependency between the texture and depth Intra modes are studied in this work: GradientMax and DominantAngle. Average bitrate reductions of 1.3 and 1.6% on synthesized sequences are reported for GradientMax and DominantAngle, respectively. The latter method additionally achieves 2.3% bitrate reduction on depth sequences.</p> </abstract>
- Is Part Of:
- APSIPA transactions on signal and information processing. Volume 3(2014)
- Journal:
- APSIPA transactions on signal and information processing
- Issue:
- Volume 3(2014)
- Issue Display:
- Volume 3, Issue 2014 (2014)
- Year:
- 2014
- Volume:
- 3
- Issue:
- 2014
- Issue Sort Value:
- 2014-0003-2014-0000
- Page Start:
- 25
- Page End:
- 28
- Publication Date:
- 2014-01-07
- Subjects:
- Signal processing -- Periodicals
621.3822 - Journal URLs:
- http://journals.cambridge.org/action/displayJournal?jid=SIP ↗
https://nowpublishers.com/SIP ↗ - DOI:
- 10.1017/ATSIP.2013.8 ↗
- Languages:
- English
- ISSNs:
- 2048-7703
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library HMNTS - ELD Digital store
- Ingest File:
- 4374.xml