Efficiently-mapped adaptive hierarchical QAM for reliable scalable video communication

Designing wireless video communication system is a challenging task due to high error rates of wireless channels, limited and dynamically varying bandwidth availability, and low energy and complexity requirements of portable multimedia devices. Scalable video coders having excellent rate-distortion performance are most suited to cope with time varying bandwidth of wireless networks, but encoded bits are extremely sensitive to channel errors. This chapter presents a reliable video communication system exploring opportunities offered by various network layers for improved overall performance, while optimizing the resources. More specifically, cross-layer approach for Unequal Error Protection (UEP) of scalable video bitstream is the main theme of this chapter. In UEP, the important bits are given a higher protection compared to the other bits. Conventionally, UEP is achieved by using Forward Error Correction (FEC) at the application layer. However, UEP can also be provided at the physical layer using hierarchical modulation scheme. In this chapter, the authors discuss cross-layer design methodology for UEP that rely on interaction between the application layer and the physical layer to achieve reliable and high quality end-to-end performance in wireless environments. The discussion is mainly focused for wavelet coded video, but it is applicable to other embedded bitstreams as well.

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A scalable Video Communication Framework based on D-Bus

2011 International Conference on Electronics, Communications and Control (ICECC) ◽

10.1109/icecc.2011.6066696 ◽

2011 ◽

Cited By ~ 1

Author(s):

Hua Yuan ◽

Zhenhua Sun ◽

Ling Zhang ◽

Hong Yuan

Keyword(s):

Video Communication ◽

Scalable Video ◽

Communication Framework

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Estimation of Adaptation Parameters for Dynamic Video Adaptation in Wireless Network Using Experimental Method

Computers ◽

10.3390/computers10040039 ◽

2021 ◽

Vol 10 (4) ◽

pp. 39

Author(s):

Gururaj Bijur ◽

Ramakrishna Mundugar ◽

Vinayak Mantoor ◽

Karunakar A Kotegar

Keyword(s):

Video Coding ◽

Experimental Method ◽

Prior Knowledge ◽

Wireless Network ◽

Video Communication ◽

Video Data ◽

Scalable Video ◽

Node Mobility ◽

Video Adaptation

A wireless network gives flexibility to the user in terms of mobility that attracts the user to use wireless communication more. The video communication in the wireless network experiences Quality of Services (QoS) and Quality of Experience (QoE) issues due to network dynamics. The parameters, such as node mobility, routing protocols, and distance between the nodes, play a major role in the quality of video communication. Scalable Video Coding (SVC) is an extension to H.264 Advanced Video Coding (AVC), allows partial removal of layers, and generates a valid adapted bit-stream. This adaptation feature enables the streaming of video data over a wireless network to meet the availability of the resources. The video adaptation is a dynamic process and requires prior knowledge to decide the adaptation parameter for extraction of the video levels. This research work aims at building the adaptation parameters that are required by the adaptation engines, such as Media Aware Network Elements (MANE), to perform adaptation on-the-fly. The prior knowledge improves the performances of the adaptation engines and gives the improved quality of the video communication. The unique feature of this work is that, here, we used an experimental evaluation method to identify the video levels that are suitable for a given network condition. In this paper, we estimated the adaptation parameters for streaming scalable video over the wireless network using the experimental method. The adaptation parameters are derived using node mobility, link bandwidth, and motion level of video sequences as deciding parameters. The experimentation is carried on the OMNeT++ tool, and Joint Scalable Video Module (JSVM) is used to encode and decode the scalable video data.

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