Joint Source-Channel Coding for the Scalable Extension of H.264/MPEG-4 AVC

This paper presents an error concealment method for medium grain scalability (MGS) of the scalable extension of H.264/AVC. Instead of reconstructing a lost frame using a typically compute-intensive error concealment method, in this method, a light-weight decoder preprocessor generates a valid bit stream from the available network abstraction layer (NAL) units in case that MGS layers are used. NAL unit header and slice header are parsed to detect the loss of a NAL unit from MGS layers. Modifications are applied to NAL unit header or slice header if some NAL units of MGS layers are lost. Hence, the number of additional packets that a decoder has to discard as a result of a packet loss is minimized. The proposed method requires low computational cost which is suitable for real-time video streaming. The experimental results demonstrate that the proposed method achieves an improvement of 2.16 dB compared to the NAL unit removal method at 5% packet loss rate. The proposed method can work complementary with other error concealment schemes for a whole-frame loss or serve as a preprocessor to a standard decoder.

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“…A similar work is presented in Ref. 8, which extends the work in Ref. 2 with support of quality scalability using FGS layer.…”

Section: Introductionmentioning

confidence: 52%

Error concealment in the network abstraction layer for medium grain scalability of SVC

Zhao

Ostermann

2010

SPIE Proceedings

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“…Proof of their importance is the large number of works studying error concealment techniques, particularly, in the SVC realm (Y. Chen et al, 2006;Lambert et al, 2009;Ma, Wu, & Sun, 2009;Park, Wang, & Ko, 2007;Pitrey et al, 2010;Pitrey et al, 2011;Stoufs et al, 2007). Among those, some ideas involve assuming a protected base layer (with FEC algorithms) as a concealment mechanism for enhancement layer losses (Pitrey et al, 2010, Pitrey et al, 2011.…”

Section: The Path Towards the Adaptive Decodermentioning

confidence: 99%

A Framework to Measure and Estimate Video Quality in SVC Real-Time Adaptive Systems

Álvarez

Pozueco

Cabrero

et al. 2014

International Journal of Business Data Communications and Networking

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Effectively adapting the content to network conditions in real-time is an important matter in best-effort networks like the Internet. Scalable Video Coding (SVC) is an interesting alternative to implement such systems. However, some problems of the performance evaluation of SVC based adaptive systems have not been solved. The authors review the main efforts directed to measure video quality on SVC related systems and discuss the limitations of each one. This paper elaborates a framework to measure video quality metrics in real adaptive SVC based streams. An estimation method for full reference video quality metrics is proposed. This method reduces reference information required and it is able to provide real-time accurate results simply using metadata regarding the video quality of the reference layers. The video quality of several streams that have been generated using a real-time adaptive system is first measured with the elaborated framework and then estimated with the proposed method.

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Joint Source-Channel Coding for the Scalable Extension of H.264/MPEG-4 AVC

Cited by 2 publications

References 12 publications

Error concealment in the network abstraction layer for medium grain scalability of SVC

Error concealment in the network abstraction layer for medium grain scalability of SVC

A Framework to Measure and Estimate Video Quality in SVC Real-Time Adaptive Systems

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