
Network acknowledgement‐based and error‐propagation‐aware importance modelling for H.264/AVC video transmission over wireless networks
Author(s) -
Wang Qinli,
Liu Guizhong,
Liu Zhao,
Liu Hao,
Zuo Wen,
Wang Ning
Publication year - 2014
Publication title -
iet communications
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.355
H-Index - 62
eISSN - 1751-8636
pISSN - 1751-8628
DOI - 10.1049/iet-com.2013.1039
Subject(s) - acknowledgement , computer science , propagation of uncertainty , network packet , real time computing , macro , scheduling (production processes) , computer network , wireless , packet loss , telecommunications , algorithm , mathematical optimization , mathematics , programming language
In this study, a network acknowledgement‐based and error‐propagation‐aware (NEPA) importance model for H.264/AVC video packet is proposed. Unlike those existing models, the network acknowledgement information is firstly studied to predict the video importance in the author's NEPA model. As a result, the authors can dynamically predict the importance of the current video packet, when its referenced frames are lost. Moreover, by means of analysing the reference relationships among the macro‐blocks (MBs), an error propagation/conceal map is drawn to accurately estimate the error propagation effect. The simulation results demonstrate that their NEPA model could achieve an acceptable accuracy for any video sequence as long as its group of pictures (GoP) size is not too large. Furthermore, an application example which adopts the NEPA model in High Speed Downlink Packet Access scheduling system demonstrates the effectiveness of the NEPA model.