Timing constraints of MPEG-2 decoding for high quality video: misconceptions and realistic assumptions

Isovic, Damir; Fohler, Gerhard; Steffens, Liesbeth

doi:10.1109/emrts.2003.1212730

Cited by 32 publications

(27 citation statements)

References 8 publications

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“…Most control techniques are applied at system or task level, focus on optimality criteria and are adequate only for soft real-time. The integration of safety criteria is useful in applications where quality should remain above some minimal level [8], [4], e.g., home TVs, or where hard deadlines must be respected. Buttazzo et al's elastic tasks model [5], as well as slack scheduling [7], [10] and gain time techniques [3] are proposed in order to adapt a system to its actual behavior, but they are only based on worst-case execution times and do not deal with quality smoothness.…”

Section: Introductionmentioning

confidence: 99%

QoS control for optimality and safety

Combaz

Fernandez

Lepley

et al. 2005

Proceedings of the 5th ACM International Conference on Embedded Software

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We propose a method for fine grain QoS control of real-time applications. The method allows adapting the overall system behavior by adequately setting the quality level parameters of its actions. The objective of the control policy is to meet QoS requirements including three types of properties: 1) safety that is, no deadline is missed; 2) optimality that is, maximization of the available time budget; 3) smoothness of quality levels. The method takes as input a model of the application software, QoS requirements and platformdependent timing information, and produces a controlled application software meeting the QoS requirements on the target platform. This paper provides a complete formalization of the quality control problem. It proposes a new control management policy ensuring safety, near-optimality and smoothness. It also describes a prototype tool implementing the quality control algorithm and experimental results about its application to a video encoder.

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Section: Introductionmentioning

confidence: 99%

QoS control for optimality and safety

Combaz

Fernandez

Lepley

et al. 2005

Proceedings of the 5th ACM International Conference on Embedded Software

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“…However, the task of predictably manage multimedia load is not trivial. Video decoding execution times vary greatly depending on the spatial and temporal attributes of the video [63]. Furthermore, when decoding multiple streams of live video (e.g., multipoint video conferencing, multi-camera real-time video surveillance, multiple view object detection), the workload characteristics became increasingly dynamic and thus difficult to model.…”

Section: Swarm Intelligence Algorithms For Dynamic Task Reallocationmentioning

confidence: 99%

Dynamic Resource Allocation in Embedded, High-Performance and Cloud Computing

Indrusiak

Dziurzański

Singh

2016

Dynamic Resource Allocation in Embedded, High-Performance and Cloud Computing

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The "River Publishers Series in Information Science and Technology" covers research which ushers the 21st Century into an Internet and multimedia era. Multimedia means the theory and application of filtering, coding, estimating, analyzing, detecting and recognizing, synthesizing, classifying, recording, and reproducing signals by digital and/or analog devices or techniques, while the scope of "signal" includes audio, video, speech, image, musical, multimedia, data/content, geophysical, sonar/radar, bio/medical, sensation, etc. Networking suggests transportation of such multimedia contents among nodes in communication and/or computer networks, to facilitate the ultimate Internet.Theory, technologies, protocols and standards, applications/services, practice and implementation of wired/wireless networking are all within the scope of this series. Based on network and communication science, we further extend the scope for 21st Century life through the knowledge in robotics, machine learning, embedded systems, cognitive science, pattern recognition, quantum/biological/molecular computation and information processing, biology, ecology, social science and economics, user behaviors and interface, and applications to health and society advance.Books published in the series include research monographs, edited volumes, handbooks and textbooks. The books provide professionals, researchers, educators, and advanced students in the field with an invaluable insight into the latest research and developments.

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“…Processing is blocked when there is no input data. Latency and buffer constraints determine the extent to which working ahead can be applied [9]. The strategies select a quality level for processing the next frame upon completion of the previous frame, i.e.…”

Section: B Control Strategiesmentioning

confidence: 99%

Dynamic resource allocation for real-time priority processing applications

Heuvel

Bril

Schiemenz

et al. 2010

IEEE Trans. Consumer Electron.

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Citation for published version (APA):Heuvel, van den, M. M. H. P., Bril, R. J., Schiemenz, S., & Hentschel, C. (2010). Dynamic resource allocation for real-time priority processing applications. IEEE Transactions on Consumer Electronics, 56 (2) Please check the document version of this publication:• A submitted manuscript is the version of the article upon submission and before peer-review. There can be important differences between the submitted version and the official published version of record. People interested in the research are advised to contact the author for the final version of the publication, or visit the DOI to the publisher's website.• The final author version and the galley proof are versions of the publication after peer review.• The final published version features the final layout of the paper including the volume, issue and page numbers. Link to publication General rightsCopyright and moral rights for the publications made accessible in the public portal are retained by the authors and/or other copyright owners and it is a condition of accessing publications that users recognise and abide by the legal requirements associated with these rights.• Users may download and print one copy of any publication from the public portal for the purpose of private study or research.• You may not further distribute the material or use it for any profit-making activity or commercial gain • You may freely distribute the URL identifying the publication in the public portal.If the publication is distributed under the terms of Article 25fa of the Dutch Copyright Act, indicated by the "Taverne" license above, please follow below link for the End User Agreement: www.tue.nl/taverne Take down policyIf you believe that this document breaches copyright please contact us at:openaccess@tue.nl providing details and we will investigate your claim.

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Timing constraints of MPEG-2 decoding for high quality video: misconceptions and realistic assumptions

Cited by 32 publications

References 8 publications

QoS control for optimality and safety

QoS control for optimality and safety

Dynamic Resource Allocation in Embedded, High-Performance and Cloud Computing

Dynamic resource allocation for real-time priority processing applications

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