Measurement Campaign on Transmit Delay Diversity for Mobile DVB-T/H Systems

Bari, Raffaele Di; Bard, M.; Arrinda, Amaia; Ditto, P.; Araniti, Giuseppe; Cosmas, John; Loo, Kok-Keong; Nilavalan, R.

doi:10.1109/tbc.2010.2050030

Cited by 6 publications

(2 citation statements)

References 17 publications

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“…Random loss model for 5%, 10% and 20% Packet Loss Rates (PLRs) was considered and the simulations were repeated 50 times. Similar PLR values have been observed in [108]. For all sequences, each frame consisted of one slice, the frame rate was 25 frames per second.…”

Section: Simulation Resultssupporting

confidence: 77%

Low-complexity multiview video coding

Khattak

Hamzaoui

Ahmad

et al. 2012

2012 Picture Coding Symposium

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Abstract3D video is a technology that has seen a tremendous attention in the recent years. Multiview Video Coding (MVC) is an extension of the popular H.264 video coding standard and is commonly used to compress 3D videos. It offers an improvement of 20% to 50% in compression efficiency over simulcast encoding of multiview videos using the conventional H.264 video coding standard. However, there are two important problems associated with it: (i) its superior compression performance comes at the cost of significantly higher computational complexity which hampers the real-world realization of MVC encoder in applications such as 3D live broadcasting and interactive Free Viewpoint Television (FTV), and (ii) compressed 3D videos can suffer from packet loss during transmission, which can degrade the viewing quality of the 3D video at the decoder. This thesis aims to solve these problems by presenting techniques to reduce the computational complexity of the MVC encoder and by proposing a consistent error concealment technique for frame losses in 3D video transmission.The thesis first analyses the complexity of the MVC encoder. It then proposes two novel techniques to reduce the complexity of motion and disparity estimation. The first method achieves complexity reduction in the disparity estimation process by exploiting the relationship between temporal levels, type of macroblocks and search ranges while the second method achieves it by exploiting the geometrical relationship between motion and disparity vectors in stereo frames. These two methods are then combined with other state-of-the-art methods in a unique framework where gains add up. Experimental results show that the proposed low-complexity framework can reduce the encoding time of the standard MVC encoder by over 93% while maintaining similar compression efficiency performance.The addition of new View Synthesis Prediction (VSP) modes to the MVC encoding framework improve the compression efficiency of MVC. However, testing additional modes comes at the cost of increased encoding complexity. In order to reduce the encoding complexity, the thesis, next, proposes a bayesian early mode decision technique for a VSP enhanced MVC coder. It exploits the statistical similarities between the RD costs of the VSP SKIP mode in neighbouring views to terminate the mode decision process early. Results indicate that the proposed technique can reduce the encoding time of the enhanced MVC coder by over 33% at similar compression efficiency levels.Finally, compressed 3D videos are usually required to be broadcasted to a large number of users where transmission errors can lead to frame losses which can degrade the video quality at the decoder. A simple reconstruction of the lost frames can lead to inconsistent reconstruction of the 3D scene which may negatively affect the viewing experience of a user. In order to solve this problem, the thesis proposes, at the end, a consistency model for recovering frames lost during transmission. The proposed consistency model is used to evaluate...

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Section: Simulation Resultssupporting

confidence: 77%

Low-complexity multiview video coding

Khattak

Hamzaoui

Ahmad

et al. 2012

2012 Picture Coding Symposium

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“…However, FEC cannot guarantee perfect recovery of the transmitted data. In mobile applications, for example, the error rate after FEC may be significant under realistic conditions [1]. For this reason, FEC is often used in conjunction with error concealment at the decoder, which aims at masking the effect of residual transmission errors.…”

Section: Introductionmentioning

confidence: 99%

Temporal and Inter-View Consistent Error Concealment Technique for Multiview Plus Depth Video

Khattak

Maugey

Hamzaoui

et al. 2016

IEEE Trans. Circuits Syst. Video Technol.

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Abstract-Multiview plus depth (MVD) is an emerging video format with many applications, including 3D television and free viewpoint television. During broadcast of compressed MVD video, transmission errors may cause the loss of whole frames, resulting in significant degradation of video quality. Error concealment techniques have been widely used to deal with transmission errors in video communication. However, the existing solutions do not address the requirement that the reconstructed frames be consistent with neighbouring frames, i.e., corresponding pixels have consistent color information. We propose a new consistency model for error concealment of MVD video that allows to maintain a high level of consistency between frames of the same view (temporal consistency) and those of neighbouring views (inter-view consistency). We then propose an algorithm that uses our model to implement concealment in a consistent way. Simulations with the reference software for the Multiview Video Coding project of the Joint Video Team (JVT) of the ISO/IEC MPEG and ITU-T VCEG show that our method outperforms benchmark techniques, including a baseline approach based on the Boundary Matching Algorithm, with respect to both reconstruction quality and view consistency.

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