In this paper, we propose a novel lightweight approximate authentication algorithm that provides efficient protection for wireless video streaming where attacks on the stream are possible, but classical integrity prot...
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In this paper, we propose a novel lightweight approximate authentication algorithm that provides efficient protection for wireless video streaming where attacks on the stream are possible, but classical integrity protection algorithms are impractical because bit errors occur naturally. The benefits of the proposed algorithm over other algorithms are fast execution and small message authentication code size. Moreover, the approximate authentication supports errorresilientvideo decoding by dropping seriously damaged packets, thus improving the perceived quality of the video stream. The performance of the algorithm is demonstrated via numerical analysis, simulations and measurements over modeled and real wireless channels.
The Emergence of three dimensional (3D) video applications, based on Depth Image Based Rendering (DIBR) has brought about new dimensions to the video transmission problem, due to the need to transmit additional depth ...
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ISBN:
(纸本)9781424463794
The Emergence of three dimensional (3D) video applications, based on Depth Image Based Rendering (DIBR) has brought about new dimensions to the video transmission problem, due to the need to transmit additional depth information to the receiver. Until the transmission problem of 3D video is adequately addressed, consumer applications based on 3D video will not gain much popularity. Exploiting the unique correlations that exist between the color and their corresponding depth images, will lead to more errorresilientvideo encoding schemes for 3D video. In this paper we present an errorresilient 3D video communication scheme that exploits the correlation of motion vectors in color and depth video streams. The presented method achieves up to 0.8 dB gain for color sequences and up to 0.7 dB gain for depth sequences over error prone communication channels.
In this research, a JSCC (Joint Source-Channel coding) videocoding system based on the optimization of end-to-end distortions is proposed. To this end, a model describing the rate and distortion of video contents in ...
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ISBN:
(纸本)9783540682974
In this research, a JSCC (Joint Source-Channel coding) videocoding system based on the optimization of end-to-end distortions is proposed. To this end, a model describing the rate and distortion of video contents in the error-prone environment is established and estimated. Based on the constructed models, the proposed system is capable of controlling coding parameters, such as channel code rate, quantization parameters, and number of packets, adaptively in accordance with the channel condition and bit rate budge, to optimize the quality of received video at decoder side. Experimental results show that our proposed JSCC system can improve PSNR by up to 5 dB, with respect to the traditional EEP (Equal error protection) technique.
In this paper a novel robust video transmission scheme is proposed that can not only decode the compressed video stream in two directions but also correct channel errors with limit burst length. Standard video coders ...
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ISBN:
(纸本)0819452114
In this paper a novel robust video transmission scheme is proposed that can not only decode the compressed video stream in two directions but also correct channel errors with limit burst length. Standard video coders usually utilize variable length coding (VLC) to obtain high compression ratio, which makes the compressed bit stream very vulnerable to channel errors. Even one bit error may lead to loss of synchronization with the following bits undecodable and result in error propagation. In order to limit error propagation due to VLC we put forward a new videocoding scheme named as two-way decodable variable length data blocks (TDVLDB), which makes the compressed bit stream bi-directionally decodable through reversal and XOR operations. Great subjective and object quality improvements have been found in our simulation results compared with other resilient schemes, such as the reversible variable length codes (RVLC) scheme, the partial backward decodable bit stream (PBDBS) scheme and the early resynchronization (ER) scheme.
video Source encoders such as H. 264 and VC-1 are in common use today and provide impressive compression performance. These use variable length coding and predictive coding to achieve high compression ratios but as a ...
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ISBN:
(纸本)9781424479948
video Source encoders such as H. 264 and VC-1 are in common use today and provide impressive compression performance. These use variable length coding and predictive coding to achieve high compression ratios but as a consequence render the encoded bitstream extremely sensitive to channel errors. In this paper we revisit an alternative technique, Pyramid Vector Quantisation, which generates fixed length codes. Intra mode PVQ is presented as a means of robustly compressing and wirelessly transmitting HD video. The paper shows that PVQ is an effective codec for indoor wireless transmission of HD video. Comparing the required channel SNR for an H. 264 based system with a PVQ based system shows that PVQ can operate at a much lower SNR (with gains of up to 11 dB) while still providing excellent video quality and compression performance.
Delivery of 3D immersive entertainment to the home remains a highly challenging problem due to the large amount of data involved, and the need to support a wide variety of different displays. Support of such displays ...
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ISBN:
(纸本)9781424479948
Delivery of 3D immersive entertainment to the home remains a highly challenging problem due to the large amount of data involved, and the need to support a wide variety of different displays. Support of such displays may require different numbers of views, delivered over time varying networks. This requires a delivery scheme featuring scalable compression to adapt to varying network conditions, and error resiliency to overcome disturbing losses in the 3D perception. Audio and video attention models can be used in designing an optimal content-aware compression and transmission scheme, by prioritizing the most visually important areas of the video. This paper gives an overview of a content-aware, scalable multi-view audiovisual entertainment delivery framework. Results are shown to evaluate the kinds of error robustness improvements that could be seen using such a system.
HEVC (High Efficiency videocoding), the latest and most popular videocoding stan- dard, has succeeded in significantly improving performance in terms of the compres- sion efficiency by exploiting more and more spati...
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HEVC (High Efficiency videocoding), the latest and most popular videocoding stan- dard, has succeeded in significantly improving performance in terms of the compres- sion efficiency by exploiting more and more spatial and temporal dependencies. Conse- quently, HEVC coded videos are much more susceptible to network impairments, which unless mitigated by some means, can have a significant detrimental impact on the end users perceived Quality of Experience (QoE). Furthermore, emerging HEVC based interactive video applications pose many chal- lenges which cannot be resolved using traditional resource allocation algorithms or error resilience schemes. These include dynamic network conditions, the need for maintain- ing the QoE across a group of interacting users, strict delay constraints, as well as the geographic and temporal variations in the interactive content processing require- ments, all of which must collectively determine and adapt the appropriate videocoding parameters and network level resource allocation to enhance the overall QoE. To this end, this research proposes application layer and network layer methodologies to improve the end user QoE. First, an end user s video quality prediction model is proposed for HEVC based video communications under error prone channels. The model which incorporates the errors in the motion vectors, the reference pixels and the pixel clipping operations during the modelling phase, has subsequently demonstrated only a 3% prediction error whereas the state-of-the-art methods couldn t reach below 17.5% under identical conditions. Later, these distortion values are re-used inside the HEVC Rate-Distortion Optimization (RDO) process to realize a 20%-40% improvement in the BD-rate compared to the state-of-the-art errorresilient schemes. Secondly, a novel motion vector estimation algorithm is proposed to select motion vectors which unlike the existing methods not only mitigate the error propagation from the previous frames but als
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