Title
Multiview extension of HEVC using reduced resolution disparity information for inter-view prediction tools
Abstract
This paper investigates the effect of reducing the resolution of estimated depth maps that are used for inter-view motion and residual prediction in a multiview extension of HEVC. The investigated HEVC extension includes disparity compensated prediction similar to the MVC extension of H.264/AVC. For further increasing the coding efficiency, the obtained disparity vectors are used to estimate depth maps, which are employed by two additional tools: The inter-view motion prediction uses the estimated data for predicting motion vectors of dependent views from the independent view while the inter-view residual prediction uses the depth data for predicting the residual data of dependent views. Simulations showed that, on average, bit rate savings of about 10% for the dependent views are achieved by enabling the additional coding tools. By reducing the resolution of the estimated depth maps, the decoding complexity overhead associated with the inter-view motion and residual prediction can be significantly decreased from about 167% to 128% at the expense of a minor bit rate increase of about 0.5%.
Year
DOI
Venue
2012
10.1109/3DTV.2012.6365453
3DTV-Conference: The True Vision - Capture, Transmission and Display of 3D Video
Keywords
Field
DocType
decoding,encoding,video coding,H.264/AVC,HEVC extension,MVC extension,bit rate savings,coding tools,decoding complexity overhead,disparity compensated prediction,disparity vectors,estimated depth maps,high efficiency video coding,inter-view motion prediction,inter-view prediction tools,multiview extension,reduced resolution disparity information,residual prediction,3D video coding,Multi-view video coding,inter-view prediction
Computer vision,Residual,Algorithmic efficiency,Quarter-pixel motion,Coding tree unit,Computer science,Multiview Video Coding,Transform coding,Artificial intelligence,Harmonic Vector Excitation Coding,Context-adaptive binary arithmetic coding
Conference
ISSN
ISBN
Citations 
2161-2021 E-ISBN : 978-1-4673-4903-1
978-1-4673-4903-1
0
PageRank 
References 
Authors
0.34
1
4
Name
Order
Citations
PageRank
Heribert Brust100.34
Karsten Müller222920.79
Heiko Schwarz341.60
Thomas Wiegand4746110.32