Weighted prediction for HEVC

Philippe Bordes; Dominique Thoreau; Philippe Salmon; Pierre Andrivon

doi:10.1117/12.906747

15 February 2012 Weighted prediction for HEVC

Philippe Bordes, Dominique Thoreau, Philippe Salmon, Pierre Andrivon

Proceedings Volume 8305, Visual Information Processing and Communication III; 830504 (2012) https://doi.org/10.1117/12.906747
Event: IS&T/SPIE Electronic Imaging, 2012, Burlingame, California, United States

Abstract

HEVC is the new video coding standard developed in a joint effort (JCT-VC) by ISO MPEG and ITU-T VCEG. As other state-of-the-art block-based inter-prediction codec, it is very sensitive to illumination variations in-between frames. To cope with this limitation, the weighted prediction (WP) tool has been proposed. A comparison of the performance of WP in HEVC and MPEG-4 AVC/H.264 is carried out. The efficiency of WP is very dependent on the quality of the estimated WP parameters. The different stages of state-of-art WP parameters estimators are discussed and a new algorithm is proposed. It is based on histogram matching with global motion compensation. Several options are evaluated and comparison is made with other existing methods.

Citation Download Citation

Philippe Bordes, Dominique Thoreau, Philippe Salmon, and Pierre Andrivon "Weighted prediction for HEVC", Proc. SPIE 8305, Visual Information Processing and Communication III, 830504 (15 February 2012); https://doi.org/10.1117/12.906747

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