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IEEE Trans. Circuits Syst. Video Techn. 01/2007; 17:1164-1173.
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IEEE Trans. Circuits Syst. Video Techn. 01/2007; 17:1149-1163.
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ABSTRACT: The scalable extension of H.264/AVC, known as scalable video coding or SVC, is currently the main focus of the Joint Video
Team’s work. In its present working draft, the higher level syntax of SVC follows the design principles of H.264/AVC. Self-contained
network abstraction layer units (NAL units) form natural entities for packetization. The SVC specification is by no means
finalized yet, but nevertheless the work towards an optimized RTP payload format has already started. RFC 3984, the RTP payload
specification for H.264/AVC has been taken as a starting point, but it became quickly clear that the scalable features of
SVC require adaptation in at least the areas of capability/operation point signaling and documentation of the extended NAL
unit header. This paper first gives an overview of the history of scalable video coding, and then reviews the video coding
layer (VCL) and NAL of the latest SVC draft specification. Finally, it discusses different aspects of the draft SVC RTP payload
format, including the design criteria, use cases, signaling and payload structure.
Journal of Zhejiang University - Science A: Applied Physics & Engineering 04/2006; 7(5):657-667. · 0.41 Impact Factor
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Proceedings of the International Conference on Image Processing, ICIP 2006, October 8-11, Atlanta, Georgia, USA; 01/2006
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ABSTRACT: This paper investigates the transmission of H.264 /AVC video in the 3GPP Multimedia Broadcast /Multicast Streaming service (MBMS). Application-layer forward error correction (FEC) codes are used to combat transmission errors in the radio access network. In this FEC protection scheme, the media RTP stream is organized into source blocks spanning many RTP packets, over which FEC repair packets are generated. This paper proposes a novel method for unequal error protection that is applicable in MBMS. The method reduces the expected tune-in delay when a new user joins into a broadcast. It is based on four steps. First, temporally scalable H.264 /AVC streams are coded including reference and non-reference pictures or sub-sequences. Second, the constituent pictures of a group of pictures (GOP) are grouped according to their temporal scalability layer. Third, the interleaved packetization mode of RFC3984 is used to transmit the groups in ascending order of relevance for decoding. As an example, the non-reference pictures of a GOP are sent earlier than the reference pictures of the GOP. Fourth, each group is considered a source block for FEC coding and the strength of the FEC is selected according to its importance. Simulations show that the proposed method improves the quality of the received video stream and decreases the expected tune-in delay.
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ABSTRACT: Multiple description coding (MDC) o®ers a competitive so- lution for video transmission over lossy packet networks, with a graceful degradation of the reproduced quality as the loss rate increases. This paper illustrates how redundant pictures, an error resilience tool included in H.264/AVC, can be employed in conjunction with multiple state video coding scheme, previously proposed in the literature. The proposed MDC solution is shown to provide superior perfor- mance to state-of-the-art techniques, in terms of improved average luma peak-signal-to-noise-ratio (PSNR), fewer tem- poral °uctuations in the picture quality, and improved ro- bustness to bad estimation of the loss probability in the network.
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[show abstract]
[hide abstract]
ABSTRACT: Multiple description coding (MDC) o®ers a competitive so- lution for video transmission over lossy packet networks, with a graceful degradation of the reproduced quality as the loss rate increases. This paper illustrates how redundant pictures, an error resilience tool included in H.264/AVC, can be employed in conjunction with multiple state video coding scheme, previously proposed in the literature. The proposed MDC solution is shown to provide superior perfor- mance to state-of-the-art techniques, in terms of improved average luma peak-signal-to-noise-ratio (PSNR), fewer tem- poral °uctuations in the picture quality, and improved ro- bustness to bad estimation of the loss probability in the network.
