Efficient multiview depth video coding using depth synthesis prediction

Cheon Lee; Yo-Sung Ho; Byeongho Choi

doi:10.1117/1.3600575

1 July 2011 Efficient multiview depth video coding using depth synthesis prediction

Cheon Lee, Yo-Sung Ho, Byeongho Choi

Author Affiliations +

Optical Engineering, Vol. 50, Issue 7, 077004 (July 2011). https://doi.org/10.1117/1.3600575

Abstract

The view synthesis prediction (VSP) method utilizes interview correlations between views by generating an additional reference frame in the multiview video coding. This paper describes a multiview depth video coding scheme that incorporates depth view synthesis and additional prediction modes. In the proposed scheme, we exploit the reconstructed neighboring depth frame to generate an additional reference depth image for the current viewpoint to be coded using the depth image-based-rendering technique. In order to generate high-quality reference depth images, we used pre-processing on depth, depth image warping, and two types of hole filling methods depending on the number of available reference views. After synthesizing the additional depth image, we encode the depth video using the proposed additional prediction modes named VSP modes; those additional modes refer to the synthesized depth image. In particular, the VSP_SKIP mode refers to the co-located block of the synthesized frame without the coding motion vectors and residual data, which gives most of the coding gains. Experimental results demonstrate that the proposed depth view synthesis method provides high-quality depth images for the current view and the proposed VSP modes provide high coding gains, especially on the anchor frames.

©(2011) Society of Photo-Optical Instrumentation Engineers (SPIE)

Citation Download Citation

Cheon Lee, Yo-Sung Ho, and Byeongho Choi "Efficient multiview depth video coding using depth synthesis prediction," Optical Engineering 50(7), 077004 (1 July 2011). https://doi.org/10.1117/1.3600575

Published: 1 July 2011

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