2005
DOI: 10.1109/tcsvt.2005.856917
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Real-time low-complexity adaptive approach for enhanced QoS and error resilience in MPEG-2 video transport over RTP networks

Abstract: In this paper, the problems of redundancy allocation for providing effective error-resilience and service class distribution for enhanced quality of service (QoS) in real-time MPEG-2 video transport are addressed. A real-time low-complexity content-based adaptive error-resilient approach is proposed for the transport of MPEG-2 video streams, encapsulated using real-time transport protocol (RTP) and delivered over heterogeneous networks. An algorithm is derived using spatial and temporal properties of MPEG-2 vi… Show more

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Cited by 18 publications
(9 citation statements)
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“…The first aspect refers to the structure of the data: a set of packets in a stream, a set of macroblocks in a frame, a frame, or a video layer. The second alludes to the units within the encoded video stream, whose features are analyzed to perform the prioritization: macroblock ranking, frame classification, and video scalability exploitation [5,6,11]. In general, the finer the granularity of evaluation, the more computationally costly the technique.…”
Section: Unequal Loss Protectionmentioning
confidence: 99%
“…The first aspect refers to the structure of the data: a set of packets in a stream, a set of macroblocks in a frame, a frame, or a video layer. The second alludes to the units within the encoded video stream, whose features are analyzed to perform the prioritization: macroblock ranking, frame classification, and video scalability exploitation [5,6,11]. In general, the finer the granularity of evaluation, the more computationally costly the technique.…”
Section: Unequal Loss Protectionmentioning
confidence: 99%
“…Several studies analyze multimedia data services [1][2][3][4][5][6][7][8] for a variety of communication media and devices. The process of providing real-time multimedia services over mobile and broadband Internet connection has different requirements in terms of the Quality of Service (QoS) [9][10][11][12][13][14][15][16][17][18][19][20][21][22][23][24][25][26][27]. This prompts the division of multimedia data into two layers-the base layer and the enhancement layer.…”
Section: Introductionmentioning
confidence: 99%
“…The data units which can influence the decoded video quality are a set of packets in a stream, a set of macroblocks in a frame, a frame, and a video layer. The data units which determine the encoded video quality are macroblock ranking, frame classification, and video scalability exploitation [3]- [6].…”
Section: Introductionmentioning
confidence: 99%