Adaptive video quality control based on connection status over ATM networks

NCUIR > College of Electrical Engineering & Computer Science > Graduate Institute of Electrical Engineering > journal & Dissertation > Item 987654321/29264

Please use this identifier to cite or link to this item: http://ir.lib.ncu.edu.tw/handle/987654321/29264

Title:	Adaptive video quality control based on connection status over ATM networks
Authors:	Chang,PC;Wang,JT;Lin,YC
Contributors:	電機工程研究所
Keywords:	VBR VIDEO
Date:	1999
Issue Date:	2010-06-29 20:20:21 (UTC+8)
Publisher:	中央大學
Abstract:	The MPEG video coding is the most widely used video coding standard which usually generates variable bit-rate (VBR data streams. Although ATM can deliver VER traffic, the burst traffic still has the possibility to be dropped due to network congestion. The cell loss can be minimized by using an enforced rate control method. However, the quality of the reproduced video may be sacrificed due to insufficient peak rate available. In this work, we propose an end-to-end quality adaptation mechanism for MPEG traffic over ATM. The adaptive quality control (AQC) scheme allocates a certain number of coding bits to each video frame based on the network condition and the type of next frame. More bits may be allocated if the network condition, represented by the connection-level, is good or the next frame is B-frame that usually consumes fewer bits, A high connection-level allows a relatively large number of tagged cells, which are non-guaranteed in delivery, for video frames with high peak rates. The connection-level adjustment unit at the encoder end adjusts the connection-level based on the message of the network condition from the quality monitoring unit at decoder. The simulation results show that the AQC system can effectively utilize the channel bandwidth as well as maintain satisfactory video quality in various network conditions.
Relation:	IEICE TRANSACTIONS ON COMMUNICATIONS
Appears in Collections:	[Graduate Institute of Electrical Engineering] journal & Dissertation

Files in This Item:

File	Description	Size	Format
index.html		0Kb	HTML	501	View/Open

社群 sharing

Loading...