Inter-view prediction of intra mode decision for high-efficiency video coding-based multiview video coding

Thaísa Leal da Silva; Luciano Volcan Agostini; Luis A. da Silva Cruz

doi:10.1117/1.JEI.23.3.033008

22 May 2014 Inter-view prediction of intra mode decision for high-efficiency video coding-based multiview video coding

Thaísa Leal da Silva, Luciano Volcan Agostini, Luis A. da Silva Cruz

Author Affiliations +

Journal of Electronic Imaging, Vol. 23, Issue 3, 033008 (May 2014). https://doi.org/10.1117/1.JEI.23.3.033008

Abstract

Intra prediction is a very important tool in current video coding standards. High-efficiency video coding (HEVC) intra prediction presents relevant gains in encoding efficiency when compared to previous standards, but with a very important increase in the computational complexity since 33 directional angular modes must be evaluated. Motivated by this high complexity, this article presents a complexity reduction algorithm developed to reduce the HEVC intra mode decision complexity targeting multiview videos. The proposed algorithm presents an efficient fast intra prediction compliant with singleview and multiview video encoding. This fast solution defines a reduced subset of intra directions according to the video texture and it exploits the relationship between prediction units (PUs) of neighbor depth levels of the coding tree. This fast intra coding procedure is used to develop an inter-view prediction method, which exploits the relationship between the intra mode directions of adjacent views to further accelerate the intra prediction process in multiview video encoding applications. When compared to HEVC simulcast, our method achieves a complexity reduction of up to 47.77%, at the cost of an average BD-PSNR loss of 0.08 dB.

Citation Download Citation

Thaísa Leal da Silva, Luciano Volcan Agostini, and Luis A. da Silva Cruz "Inter-view prediction of intra mode decision for high-efficiency video coding-based multiview video coding," Journal of Electronic Imaging 23(3), 033008 (22 May 2014). https://doi.org/10.1117/1.JEI.23.3.033008

Published: 22 May 2014

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available