Please use this identifier to cite or link to this item:
Title: H.264 region-based weighted prediction for scenes with local brightness variations
Authors: Tsang, SH
Lee, TK
Chan, YL 
Siu, WC 
Issue Date: 2013
Source: IET Seminar digest, 2013, v. 2013, no. 1 How to cite?
Abstract: This paper presents a novel region-based weighted prediction (WP) parameter estimation scheme for H.264 to encode scenes with local brightness variations (LBV). Thescheme is achieved by utilizing multiple WP parameter sets for various regions and assigning them to the same reference frame. These multiple WP parameter sets are then encoded using the framework of multiple reference frame motion estimation (MRFME).This arrangement ensures that the proposed scheme is compliant with the H.264 standard. In this scheme, a region partitioning process is designed to divide the current frame into different regions where each one has some degree of uniformity in its brightness variation. This can assist in estimating multiple sets of region-based WP parameters accurately. As a consequence, the proposed scheme can improve prediction in scenes with different degrees of LBVs in different regions of the same picture. Results show that the region-based scheme can efficiently handle LBV scenes with significant coding gain.
Description: Constantinides International Workshop on Signal Processing, CIWSP 2013, London, 25 January 2013
ISBN: 9781849197335
DOI: 10.1049/ic.2013.0004
Appears in Collections:Conference Paper

View full-text via PolyU eLinks SFX Query
Show full item record

Page view(s)

Last Week
Last month
Citations as of Feb 18, 2019

Google ScholarTM



Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.