E-model based comparison of multiple description coding and layered coding in packet networks

2007 ◽  
Vol 18 (7) ◽  
pp. 661-668 ◽  
Author(s):  
Yugang Zhou ◽  
Wai-Yip Chan
2021 ◽  
Author(s):  
Katarina Stojadinović

In this study, we investigate efficient coding of multi-channel audio signals for transmission over packet networks. The techniques studied and developed as part of this research are based on redundancy coding and aim to achieve robustness with respect to packet losses. The resulting algorithm also addresses the needs of network clients with varying access bandwidths; the algorithm generates multi-layer encoded data streams which can range from basic mono to full multi-channel surround audio. Loss mitigation is achieved by applying multiple description coding technique based on the priority encoding transmission packetization scheme. The hierarchy of the transmitted data is derived from a statistical analysis of the multi-channel audio signal. Inter-channel correlations form the basis for estimating the multi-channel audio signal form the received descriptions at the decoder.


2021 ◽  
Author(s):  
Katarina Stojadinović

In this study, we investigate efficient coding of multi-channel audio signals for transmission over packet networks. The techniques studied and developed as part of this research are based on redundancy coding and aim to achieve robustness with respect to packet losses. The resulting algorithm also addresses the needs of network clients with varying access bandwidths; the algorithm generates multi-layer encoded data streams which can range from basic mono to full multi-channel surround audio. Loss mitigation is achieved by applying multiple description coding technique based on the priority encoding transmission packetization scheme. The hierarchy of the transmitted data is derived from a statistical analysis of the multi-channel audio signal. Inter-channel correlations form the basis for estimating the multi-channel audio signal form the received descriptions at the decoder.


Author(s):  
Nicola Conci ◽  
Francesco G.B. De Natale

Transcoding provides ad hoc solutions for every user’s category by decompressing a video sequence and recompressing it into a different format where the frame size, colour representation, frame rate, quality, and other characteristics may change. Scalable coding allows implementing most of these operations in an easier and cheapest way, substituting decoding and re-encoding with simple selection and combination operations. In this case, the video is encoded once for all, but different users can access different instances of it according to their specific requirements, capabilities, and compatibilities. The aim of this chapter is to highlight the pros and cons of both techniques, presenting solutions based on layered coding and multiple description coding as a valuable alternative to transcoding, especially in those cases where network losses are not negligible.


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