Error-resilient video transcoding for robust internetwork communications using GPRS

Dogan, S.; Cellatoglu, A.; Uyguroğlu, M.; Sadka, A.H.; Kondoz, A.M.

doi:10.1109/tcsvt.2002.800308

Cited by 62 publications

(33 citation statements)

References 23 publications

(20 reference statements)

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“…The method is based on analytical models that characterize how corruption propagates in a video that is compressed using motion-compensated encoding and subjected to bit errors. Dogan [6] used adaptive intra refresh (AIR) and feedback control signaling (FCS) methods to improve the error resilience of compressed video in the transcoding operation. The AIR method prevents the error propagation within a video stream by using a pre-determined number of intra MBs.…”

Section: B Error-resilient Transcoding For Video Over Wireless Channelmentioning

confidence: 99%

Video transcoding: an overview of various techniques and research issues

Ahmad

Wei

Sun

et al. 2005

IEEE Trans. Multimedia

281

154

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Abstract-One of the fundamental challenges in deploying multimedia systems, such as telemedicine, education, space endeavors, marketing, crisis management, transportation, and military, is to deliver smooth and uninterruptible flow of audio-visual information, anytime and anywhere. A multimedia system may consist of various devices (PCs, laptops, PDAs, smart phones, etc.) interconnected via heterogeneous wireline and wireless networks. In such systems, multimedia content originally authored and compressed with a certain format may need bit rate adjustment and format conversion in order to allow access by receiving devices with diverse capabilities (display, memory, processing, decoder). Thus, a transcoding mechanism is required to make the content adaptive to the capabilities of diverse networks and client devices. A video transcoder can perform several additional functions. For example, if the bandwidth required for a particular video is fluctuating due to congestion or other causes, a transcoder can provide fine and dynamic adjustments in the bit rate of the video bitstream in the compressed domain without imposing additional functional requirements in the decoder. In addition, a video transcoder can change the coding parameters of the compressed video, adjust spatial and temporal resolution, and modify the video content and/or the coding standard used. This paper provides an overview of several video transcoding techniques and some of the related research issues. We introduce some of the basic concepts of video transcoding, and then review and contrast various approaches while highlighting critical research issues. We propose solutions to some of these research issues, and identify possible research directions.Index Terms-Frequency domain, heterogeneous video systems, H.26X, MPEG-X, motion vector refinement, spatial domain, video transcoding.

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Section: B Error-resilient Transcoding For Video Over Wireless Channelmentioning

confidence: 99%

Video transcoding: an overview of various techniques and research issues

Ahmad

Wei

Sun

et al. 2005

IEEE Trans. Multimedia

281

154

View full text Add to dashboard Cite

show abstract

“…However, the general concept of transcoding video to boost error resiliency is reported in the literature. For instance, [4,5] proposed the use of Adaptive Intra Refresh (AIR) and feedback control signalling for video transmission over GPRS. A similar approach appeared in [6] which estimates the effect of error propagation and selectively applies Adaptive Intra Refresh.…”

Section: Related Workmentioning

confidence: 99%

Error resiliency transcoding and decoding solutions using distributed video coding techniques

Shanableh

May

Ishtiaq

2008

Signal Processing: Image Communication

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This paper proposes a number of video transcoding techniques for the purpose of adding error resiliency. The proposed solutions make use of distributed video coding technologies which were originally reported in the literature for distributing coding complexity between the encoder and the decoder. Three transcoding solutions are proposed: frequency-domain, time-domain and compressed-domain transcoding, and various decoding architectures are investigated. Error resiliency at the decoder is addressed as a post-process, an integrated process and a pre-process. It is shown that implementing error resiliency as a decoder pre-process and combining this with compressed-domain transcoding removes the need to interfere with the functionality of existing and compliant decoders whilst minimising complexity. The proposed solutions serve as a framework for boosting the error resiliency of pre-encoded video and can be applied to MPEG-2, and H.264/AVC coded streams.

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“…The work in [9] proposes an error-resilience transcoder for General Packet Radio Service (GPRS) mobile-access networks with the transcoding process performed at a video proxy that can be located at the edge of two or more networks. Two error-resilience tools: the Adaptive Intra Refresh (AIR) and Feedback Control Signaling (FCS) are used adaptively to reduce error effects, while preserving the transmission rate adaptation feature of the video transcoders.…”

Section: Survey Of Related Workmentioning

confidence: 99%

Error resilience video transcoding for wireless communications

Vetro

Xin²,

Sun

2005

IEEE Wireless Commun.

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Video communication through wireless channels is still a challenging problem due to the limitations in bandwidth and the presence of channel errors. Since many video sources are originally coded at a high rate and without considering the different channel conditions that may be encountered later, a means to repurpose this content for delivery over a dynamic wireless channel is needed. Transcoding is typically used to reduce the rate and change the format of the originally encoded video source to match network conditions and terminal capabilities. Given the existence of channel errors that can easily corrupt the video quality, there is also the need to make the bitstream more resilient to transmission errors. In this article, we provide an overview of the error-resilience tools found in todays video coding standards and describe a variety of techniques that may be used to achieve error-resilence video transcoding. IEEE Wireless CommunicationsThis work may not be copied or reproduced in whole or in part for any commercial purpose. Permission to copy in whole or in part without payment of fee is granted for nonprofit educational and research purposes provided that all such whole or partial copies include the following: a notice that such copying is by permission of Mitsubishi Electric Research Laboratories, Inc.; an acknowledgment of the authors and individual contributions to the work; and all applicable portions of the copyright notice. Copying, reproduction, or republishing for any other purpose shall require a license with payment of fee to Mitsubishi Electric Research Laboratories, Inc. All rights reserved. ABSTRACTVideo communication through wireless channels is still a challenging problem due to the limitations in bandwidth and the presence of channel errors. Since many video sources are originally coded at a high rate and without considering the different channel conditions that may be encountered later, a means to repurpose this content for delivery over a dynamic wireless channel is needed. Transcoding is typically used to reduce the rate and change the format of the originally encoded video source to match network conditions and terminal capabilities. Given the existence of channel errors that can easily corrupt the video quality, there is also the need to make the bitstream more resilient to transmission errors. In this article, we provide an overview of the error-resilience tools found in today's video coding standards and describe a variety of techniques that may be used to achieve error-resilience video transcoding.

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Error-resilient video transcoding for robust internetwork communications using GPRS

Cited by 62 publications

References 23 publications

Video transcoding: an overview of various techniques and research issues

Video transcoding: an overview of various techniques and research issues

Error resiliency transcoding and decoding solutions using distributed video coding techniques

Error resilience video transcoding for wireless communications

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