Skip Prediction and Early Termination for Fast Mode Decision in H.264/AVC

Files in This Item:
File Description SizeFormat 
Skip_Prediction_and_Early_Termination_for_Fast_Mode_Decision_in_H.264:AVC.pdf222.31 kBAdobe PDFDownload
Title: Skip Prediction and Early Termination for Fast Mode Decision in H.264/AVC
Authors: Ivanov, Yuri
Bleakley, Chris J.
Permanent link: http://hdl.handle.net/10197/7084
Date: 31-Aug-2006
Abstract: This paper proposes a fast mode decision algorithm for H.264/AVC based on skip prediction and early termination techniques. The skip decision is based on a partially computed Sum of Absolute Differences metric combined with utilization of the Lagrangian Rate- Distortion cost function from the previous frame. A statistical analysis of the spatio-temporal characteristics of the Rate Distortion cost function and SAD metric for skip decisions is provided. Experimental results show that the new algorithm outperforms existing ones in performance providing a 55% reduction in total computational complexity, a slight reduction in bit rate and negligible impact on visual quality.
Funding Details: University College Dublin
Type of material: Conference Publication
Publisher: IEEE
Copyright (published version): 2006 IEEE
Keywords: Skip prediction algorithms;Mode decision;Sum of absolute differences (SAD)
DOI: 10.1109/ICDT.2006.70
Language: en
Status of Item: Peer reviewed
Conference Details: International Conference on Digital Communications (ICDT), Cap Esterel, France, 29 - 31 August, 2006
Appears in Collections:Computer Science Research Collection

Show full item record

SCOPUSTM   
Citations 20

9
Last Week
0
Last month
checked on Jun 22, 2018

Download(s) 50

17
checked on May 25, 2018

Google ScholarTM

Check

Altmetric


This item is available under the Attribution-NonCommercial-NoDerivs 3.0 Ireland. No item may be reproduced for commercial purposes. For other possible restrictions on use please refer to the publisher's URL where this is made available, or to notes contained in the item itself. Other terms may apply.