NDLI: Error resilient joint source-channel adaptive intra-refresh rate for wireless video transmission

Content Provider	IEEE Xplore Digital Library
Author	dela Cruz, A.R. Cajote, R.D.
Copyright Year	2014
Description	Author affiliation: Electr. & Electron. Eng. Inst., Univ. of the Philippines, Quezon City, Philippines (dela Cruz, A.R.; Cajote, R.D.)
Abstract	Intra-refresh in video coding is an efficient error control tool of video encoder in minimizing error propagation caused by unreliable network. However, when channel becomes reliable, intra-coded macroblocks (MBs) tend to increase quantization distortion. In this paper, we propose a method of adaptive intra-refresh rate (AIRR) by obtaining the optimum number of intra-coded MBs in a given frame based on the condition of the channel. This is achieved by estimating end-to-end distortion at the encoder side which allows the encoder to adjust the refresh rate before encoding. In this work, we propose a quantization distortion model which estimates source distortion as functions of residual information and quantization parameter (QP). The residual information is estimated using the proposed mean-absolute difference (MAD) prediction model based on the linear relationship between intra-refresh rate and MAD. The proposed models are used to implement a joint source-channel AIRR (JSC-AIRR) scheme using standard H.264/AVC encoder. Accurate estimate of the actual distortion at various refresh rates are achieved and able to estimate the distortion before encoding the frame. The proposed scheme is compared to random intra refresh scheme with various refresh rates and periodic intra refresh scheme. Average improvements of up to 1.54 dB in PSNR video quality are measured and subjective quality improvements are observed which proves the effectiveness of the proposed scheme especially in time varying channel conditions.
Starting Page	509
Ending Page	514
File Size	471110
Page Count	6
File Format	PDF
ISBN	9781479946129
ISSN	21653577
DOI	10.1109/ICDSP.2014.6900718
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-08-20
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Quantization (signal) Signal to noise ratio Encoding Bit rate Digital signal processing Video coding Computational modeling error-control intra-refresh rate joint source channel coding quantization distortion
Content Type	Text
Resource Type	Article

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