Stochastic Modeling of the Spatiotemporal Wavelet Coefficients and Applications to Quality Enhancement and Error Concealment

Feideropoulou, G.; Pesquet‐Popescu, Béatrice

doi:10.1155/s1110865704402327

Cited by 5 publications

(3 citation statements)

References 25 publications

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“…With the considered simulation conditions, the JSC decoding complexity remains less than three times the complexity of a standard decoder for a channel SNR higher than 15 dB which is considered to be reasonable. For all 3D blocks, which were not corrected using JSC decoding, error-concealment techniques should be employed [6,7,22]. In this work, all headers were assumed error-free.…”

Section: Discussionmentioning

confidence: 99%

Robust decoding of a 3D-ESCOT bitstream transmitted over a noisy channel

Abid

Kieffer

Cagnazzo

et al. 2010

2010 IEEE International Conference on Image Processing

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In this paper, we propose a joint source-channel (JSC) decoding scheme for 3D ESCOT-based video coders, such as Vidwav. The embedded bitstream generated by such coders is very sensitive to transmission errors unavoidable on wireless channels. The proposed JSC decoder employs the residual redundancy left in the bitstream by the source coder combined with bit reliability information provided by the channel or channel decoder to correct transmission errors. When considering an AWGN channel, the performance gains are in average 4 dB in terms of PSNR of the reconstructed frames, and 0.7 dB in terms of channel SNR. When considering individual frames, the obtained gain is up to 15 dB in PSNR.

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Section: Discussionmentioning

confidence: 99%

Robust decoding of a 3D-ESCOT bitstream transmitted over a noisy channel

Abid

Kieffer

Cagnazzo

et al. 2010

2010 IEEE International Conference on Image Processing

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“…There has been only very preliminary work on developing models to capture the content characteristics and distortion propagation for 3D wavelet schemes [8] [17]. In [12], this work was extended to develop a unified mathematical model that describes the operational R-D behavior of motion-compensated wavelet video coders for different encoding settings.…”

Section: Content-based Distortion Modelsmentioning

confidence: 99%

Cross-Layer Packetization and Retransmission Strategies for Delay-Sensitive Wireless Multimedia Transmission

Schaar

Turaga

2007

IEEE Trans. Multimedia

160

107

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Existing wireless networks provide dynamically varying resources with only limited support for the Quality of Service required by the bandwidth-intense, loss-tolerant, and delay-sensitive multimedia applications. This variability of resources does not significantly impact data applications (e.g., file transfers), but has considerable consequences for multimedia applications and often leads to unsatisfactory user experience. Recently, the research focus has been to adapt existing algorithms and protocols at the lower layers of the network stack to better support multimedia transmission applications, and conversely, to modify application layer solutions to cope with the varying wireless networks resources. In this paper, we show that significant improvements in wireless multimedia performance can be obtained by deploying a joint application-layer packetization and MAC-layer retransmission strategy. First, we show that packet-size optimizations solely determined at the MAC-layer result in a sub-optimal performance in terms of the multimedia quality. Subsequently, we propose cross-layer strategies that optimize the packetization, prioritization and retransmission strategies based on content characteristics, channel conditions, and the specific features of the deployed video coder. Finally, we investigate the use of content based distortion models for the video, to reduce the complexity of our proposed optimization. 1. Introduction Wireless networks provide only limited support for the Quality of Service (QoS) required by delay-sensitive and high-bandwidth multimedia applications as they provide dynamically varying resources in terms of available bandwidth, due to multi-path fading, co-channel interference, and noise disturbances. A variety of application-layer solutions have been proposed to cope with these challenges. These include rate adaptation, (rate-distortion optimized) scheduling, error resilience techniques, error concealment mechanisms and joint source-channel coding. An excellent review of application-layer research in wireless multimedia streaming is provided in [1]. Cross-layer design for wireless multimedia transmission has also been investigated (e.g. [7][11][15]) and the results indicate that a significant gain in performance can be obtained. It is however important to note that existing cross-layer solutions often overlook the important issue of packetization and its relationship to other protection strategies at various layers as well as its impact on the ratedistortion (R-D) performance at the application-layer. In this paper, we focus on developing content-based flexible and adaptive packetization strategies for scalable multimedia streams and corresponding Medium Access Control (MAC) retransmission strategies to enable optimal rate-distortion-resilience tradeoffs for wireless multimedia streaming. We develop these joint packetization-retransmission schemes using a crosslayer optimization approach, where the application layer collaborates with the MAC layer to jointly determine the optimal packet ...

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“…Stochastic spatio-temporal modelling is of great importance in a variety of disciplines of natural science, including biology (Cantalapiedra et al (2001), Brix and Chadoeuf (2002), Fewster (2003), Gratzer et al (2004)), image analysis (Feideropoulou and Pesquet-Popescu (2004)), geophysics (Calder (1986), Lovejoy et al (1992), Sornette and Ouillon (2005)) and turbulence (Schmiegel et al (2004), Schmiegel et al (2005)), to name just a few. In particular, the modelling of tumour growth dynamics has been a very active research area in recent years (Delsanto et al (2000), Peirolo and Scalerandi (2004), Pang and Tzeng (2004), Schmiegel (2006)).…”

Section: Introductionmentioning

confidence: 99%

Lévy-based growth models

Jónsdóttir¹,

Schmiegel²,

Jensen³

2008

Bernoulli

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In the present paper, we give a condensed review, for the nonspecialist reader, of a new modelling framework for spatio-temporal processes, based on Lévy theory. We show the potential of the approach in stochastic geometry and spatial statistics by studying Lévy-based growth modelling of planar objects. The growth models considered are spatio-temporal stochastic processes on the circle. As a by product, flexible new models for space-time covariance functions on the circle are provided. An application of the Lévy-based growth models to tumour growth is discussed. This is an electronic reprint of the original article published by the ISI/BS in Bernoulli, 2008, Vol. 14, No. 1, 62-90. This reprint differs from the original in pagination and typographic detail.

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Stochastic Modeling of the Spatiotemporal Wavelet Coefficients and Applications to Quality Enhancement and Error Concealment

Cited by 5 publications

References 25 publications

Robust decoding of a 3D-ESCOT bitstream transmitted over a noisy channel

Robust decoding of a 3D-ESCOT bitstream transmitted over a noisy channel

Cross-Layer Packetization and Retransmission Strategies for Delay-Sensitive Wireless Multimedia Transmission

Lévy-based growth models

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