A cross-layer approach for efficient MPEG-4 video streaming using multicarrier spread-spectrum transmission and unequal error protection

Conci, Nicola; Scorza, Giovanni Berlanda; Sacchi, Claudio

doi:10.1109/icip.2005.1529722

Cited by 9 publications

(7 citation statements)

References 16 publications

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“…The data utilized to perform such a study, comes from Figuer. 5 and Figure.2¸ from where it can be deduce the relation between the enhancement-layer BER, SNR and PSNR. Results in dB from the function cost application with8 streams and 512-1024 subcarriers as shown in Table III …”

Section: A Results Of the Function Cost Applicationmentioning

confidence: 99%

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A wireless video streaming system based on OFDMA with multi-layer H.264 coding and adaptive radio resource allocation

Islam

Hossain

2011

2011 International Conference on Image Information Processing

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With the advancement of video-compression technology and the wide deployment of wireless networks, there is an increasing demand for wireless video communication services, and many design challenges remain to be overcome. In this work, an adaptive framework is proposed and simulated for multi-user video transmission over OFDMA-based communication system for the efficient streaming of multi-layered H.264 video over wireless channels. The aim of the proposed method is to combine adaptive sub-carrier allocation and bit loading with the transmission of the H.264 SVC(Scalable Video Coding ) encoded video sequences in order to increase the number of supported users in the system and provide the best quality of service(QoS) to the sub-carriers. The scalable extension H.264/MPEG4-AVC video codec is used to obtain two different bitstreams: a base-layer (carrying the most critical information content at low bitrate), and an enhancement layer, characterized by increasing bitrate and decreasing importance of video content. A prior study of the video quality is performed with a theoretical model, as the quality of the received video will depend on the errors introduced by the wireless channel. The required BER is depends on the video quality, which is the most crucial parameter to determine.The bandwidth is distributed among the orthogonal sub-carriers and the best suited sub-carriers is given to the base layers to achieve the required BER. The paper proposes an overview of the system and tests its performance through extensive simulations. The proposed framework significantly improves the video transmission quality with the maximum use of radio resources.

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Section: A Results Of the Function Cost Applicationmentioning

confidence: 99%

“…On the other side, SNR and computational complexity of the IFFT/FFT are penalty factors. As a result, a cost function can be performance as follows: (5) Where C can be shown as the convenience of the system.…”

Section: Study Of Cost and Performance A Cost Functionalmentioning

confidence: 99%

A wireless video streaming system based on OFDMA with multi-layer H.264 coding and adaptive radio resource allocation

Islam

Hossain

2011

2011 International Conference on Image Information Processing

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“…In FGS, the mechanism for achieving a continuum of quality enhancements is constructed on a bit-plane basis, scanning the data to be delivered from the most significant bit to the less significant one. Layered coding is often associated to unequal error protection (UEP) to ensure a higher protection to the base layer, being the most important information to be delivered [6,9]. It is worth mentioning that in general scalable video coding is more appropriate for the delivery of preencoded sequences.…”

Section: Introductionmentioning

confidence: 99%

Multiple description video coding using coefficients ordering and interpolation

Conci

Natale

2007

Signal Processing: Image Communication

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“…Since the base layer contains visually important data, it has been shown that unequal error protection (UEP) schemes using SVC can achieve better quality by more heavily protecting the base layer as compared to the enhancement layer [6]. In [7]- [8], several joint source channel coding and cross-layer design approaches were analyzed by utilizing UEP on the scalable bit-streams. However, even if a high potential to obtain a performance gain exists, most approaches rely on heuristic adaptive sourcechannel coding techniques.…”

Section: Introductionmentioning

confidence: 99%

Optimal Channel Adaptation of Scalable Video Over a Multicarrier-Based Multicell Environment

Park

Lee

et al. 2009

IEEE Trans. Multimedia

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Abstract-To achieve seamless multimedia streaming services over wireless networks, it is important to overcome inter-cell interference (ICI), particularly, in cell border regions. In this regard scalable video coding (SVC) has been actively studied due to its advantage of channel adaptation. We explore an optimal solution for maximizing the expected visual entropy over an orthogonal frequency division multiplexing (OFDM) -based broadband network from the perspective of cross-layer optimization. An optimization problem is parameterized by a set of source and channel parameters that are acquired along the user location over a multi-cell environment. A sub-optimal solution is suggested using a greedy algorithm that allocates the radio resources to the scalable bitstreams as a function of their visual importance. The simulation results show that the greedy algorithm effectively resists ICI in the cell border region, while conventional non-scalable coding suffers severely because of ICI.Index Terms-Cross-layer optimization, scalable video coding (SVC), human visual system (HVS), visual entropy, unequal error protection (UEP), inter-cell interference (ICI), OFDMbased System.

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A cross-layer approach for efficient MPEG-4 video streaming using multicarrier spread-spectrum transmission and unequal error protection

Cited by 9 publications

References 16 publications

A wireless video streaming system based on OFDMA with multi-layer H.264 coding and adaptive radio resource allocation

A wireless video streaming system based on OFDMA with multi-layer H.264 coding and adaptive radio resource allocation

Multiple description video coding using coefficients ordering and interpolation

Optimal Channel Adaptation of Scalable Video Over a Multicarrier-Based Multicell Environment

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