Network support for dynamically scaled multimedia data streams

Hoffman, Don; Speer, M.; Fernando, Gerard

doi:10.1007/3-540-58404-8_22

Cited by 21 publications

(5 citation statements)

References 4 publications

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“…That is, to meet an instantaneous network congestion or limitation, a network node can start by dropping B-pictures of an MPEG-1 video. If the constraint is still not met, further P-pictures are dropped and so forth [5]. A similar filtering technique was also proposed by [6].…”

Section: A Statement Of the Problemmentioning

confidence: 98%

“…By approximating the motion compensation to a linear operation 3 as reported in [16] and [17], and substituting (4) in (3), the final decoded picture becomes (5) More specifically, the finer the quantization error of the first enhancement layer, the higher is the resemblance between the decoded picture and the original one. In general, when a decoded picture is motion compensated for the reconstruction of the next incoming one, the output of the decoder's MC-loop, i.e., will be identical to the output of the encoder's MC-loop as shown in Fig.…”

Section: A Closed-loop Snr Encodingmentioning

confidence: 99%

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Multilayer transcoding with format portability for multicasting of single-layered video

Shanableh

Ghanabari²

2005

IEEE Trans. Multimedia

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This paper proposes a novel multilayer video transcoding approach for multicasting pre-encoded video to heterogeneous end-systems via diverse grouping of networks. Multilayer transcoding is first addressed by means of multiquality or SNR scalability of the MPEG-2 standard. Frequency domain transcoding and drift-compensated transcoding are derived from the closed-loop and multiloop SNR scalabilities, respectively. The proposed transcoding architectures are verified in terms of eliminating picture drift whilst preserving compatibility with the MPEG-2 SNR decoder. Multilayer transcoding is then addressed by means of multiresolution or spatial scalability of the MPEG-2 standard that supports different video formats. The transcoder retains the full resolution of the incoming video stream in its enhancement layer while generating a low spatio-temporal resolution base-layer compatible with the H.263 video format. Hence providing both multilayer transcoding and video format portability. The resultant video layers are shown to be free from drift with PSNR results comparable to those of the respective scalable encoders.Index Terms-Compressed domain processing, scalable video coding, video networking, video transcoding.

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Section: A Statement Of the Problemmentioning

confidence: 98%

Section: A Closed-loop Snr Encodingmentioning

confidence: 99%

Multilayer transcoding with format portability for multicasting of single-layered video

Shanableh

Ghanabari²

2005

IEEE Trans. Multimedia

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“…Multiple systems have been developed for such scaling especially in the unicast case. [GiGu91] and [KaMR93], for instance, regulate the sender codec to adapt the amount of transmitted data, [JSTS92] describes a special queuing mechanism to adapt the bandwidth allocated by videos sent across packet-switched networks; and [HoSF93] addresses network feedback to the sender to avoid congestion in networks that cannot be supported properly by resource management.…”

Section: Scalingmentioning

confidence: 99%

Multimedia communication

1997

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Multimedia communication deals with the transfer, the protocols, services and mechanisms of discrete media data (such as text and graphics) and continuous media data (like audio and video) in/over digital networks. Such a communication requires all involved components to be capable of handling a well-defined quality of service. The most important quality of service parameters are used to request (1) the required capacities of the involved resources, (2) compliance to end-to-end delay and jitter as timing restrictions, and (3) restriction of the loss characteristics. In this paper we describe the necessary issues and we study the ability of current networks and communication systems to support distributed multimedia applications. Further, we discuss upcoming approaches and systems which promise to provide the necessary mechanisms and consider which issues are missing for a complete multimedia communication infrastructure.

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“…QoS adaptors scale flows at the end-systems based on a user supplied QoS scaling policy (see section 4.2) and the measured performance of on-going flows. In contrast to adapting flows at the endsystems, QoS filters manipulate hierarchically coded flows (Shacham, 1992) (Hoffman, 1993) at the end-systems and as they progress through communications systems. In dynamic QoS management we refer to scaling (Delgrossi, 1993) (Kappner ,1994) as an "umbrella" term to cover the combination of QoS adaptation in end-systems, and QoS filtering (Pasquale, 1993) (Yeadon, 1994) in end-systems and the network.…”

Section: Scalable Objectsmentioning

confidence: 99%

“…The interplay between multi-layer coded flows (Shacham, 1992), end-to-end communication support and receiver-oriented Quality of Service (QoS) requirements (Zhang, 1995) is an interesting and active area of research (Pasquale, 1993) (Delgrossi, 1993) (Tokuda,92) (Hoffman, 1993). The basic technique used by coders (e.g., MPEGI, MPEG2 and H261) for compression of audio-visual flows is to remove redundant information in the signal.…”

Section: Introductionmentioning

confidence: 99%

Meeting End-to-End QoS Challenges for Scalable Flows in Heterogeneous Multimedia Environments

Campbell

Eleftheriadis

Aurrecoechea

1995

High Performance Networking

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Many distributed audio and video applications exhibit robusmess in adapting to fluctuations in the delivered quality of service (QoS). By trading off temporal and spatial quality to available bandwidth, or manipulating the playout time of continuous media in response to variation in delay, audio and video flows can be kept meaningful at the playout device with minimal perceptual distortion. In this paper we introduce Dynamic QoS Management (DQM) for the control and management of multi-layer coded flows operating in heterogeneous multimedia networking environments. Two key techniques are proposed to meet the challenge of supporting scalable flows over multimedia networks: i) Dynamic Rate Shaping, which is a novel source-based QoS filter for manipulating the rate of MPEG-coded flows, matching it to the available network resources while minimising the distortion observed at the receiver; and ii) an Adaptive Network Service, which offers "hard" guarantees to the base layer of multi-layer coded flows, and "fairness" guarantees to the enhancement layers based on a new bandwidth allocation technique called Weighted Fair Sharing.

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Network support for dynamically scaled multimedia data streams

Cited by 21 publications

References 4 publications

Multilayer transcoding with format portability for multicasting of single-layered video

Multilayer transcoding with format portability for multicasting of single-layered video

Multimedia communication

Meeting End-to-End QoS Challenges for Scalable Flows in Heterogeneous Multimedia Environments

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