A game approach to optimization of bandwidth allocation using MPEG-7 and MPEG-21

Angelides, Marios C.; Sofokleous, Anastasis A.

doi:10.1007/s11042-011-0981-0

Cited by 4 publications

(2 citation statements)

References 57 publications

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“…Secondly, in the execution phase, these conversions are performed on the media and metadata conveyed in the DI. For the decision phase, two different methods have been widely investigated in the literature: 1) Quality-based methods [11][12] [13] (also referred as optimisation-based methods) aim at finding the adaptation parameters that maximise the quality (also referred to as utility) resulting from the adaptation to the constraints of the usage environment. These methods operate by solving an optimisation problem in the Pareto frontier.…”

Section: Multimedia Adaptation-decision Making Methodsmentioning

confidence: 99%

CAIN-21: Automatic adaptation decisions and extensibility in an MPEG-21 adaptation engine

Hernández¹,

Martínez²,

García³

2013

IJIMAI

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This paper presents the progress and final state of CAIN-21, an extensible and metadata driven multimedia adaptation in the MPEG-21 framework. CAIN-21 facilitates the integration of pluggable multimedia adaptation tools, automatically chooses the chain of adaptations to perform and manages its execution. To drive the adaptation, it uses the description tools and implied ontology established by MPEG-21. The paper not only describes the evolution and latest version of CAIN-21, but also identifies limitations and ambiguities in the description capabilities of MPEG-21. Therefore, it proposes some extensions to the MPEG-21 description schema for removing these problems. Finally, the pros and cons of CAIN-21 with respect to other multimedia adaptation engines are discussed

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Section: Multimedia Adaptation-decision Making Methodsmentioning

confidence: 99%

CAIN-21: Automatic adaptation decisions and extensibility in an MPEG-21 adaptation engine

Hernández¹,

Martínez²,

García³

2013

IJIMAI

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“…While constructing the overlay, instead of using a fixed out-degree for each node, we have computed out-degree dynamically based on the user type, content preferences, device capabilities, and the network conditions. Similar to [36] and [37], we utilize MPEG-21 to describe user characteristics, terminal capabilities, and network characteristics. Specifically, we use the UED tool to gather and express user characteristics such as content preferences and presentation preferences, descriptions of the terminal's capabilities such as display capabilities, power and storage information, and finally network descriptions such as network end-to-end delay, bandwidth, and loss conditions.…”

Section: Design Of Mavssmentioning

confidence: 99%

Modeling and Evaluation of a Metadata-Based Adaptive P2P Video-Streaming System

Iqbal

Shirmohammadi

Hariri

2012

The Computer Journal

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In this paper we present a multi-parent adaptive video streaming system (MAVSS). MAVSS is a cooperative video streaming system, based on the Peer-to-Peer (P2P) content distribution concept, to simultaneously adapt and stream video contents to heterogeneous users. In order to ensure video codec independence, we emphasize on structured metadata-based adaptation. Therefore, MPEG-21 generic Bitstream Syntax Description (gBSD) is selected to describe the parts of the video contents selected for adaptation operations. Additionally, without an optimal solution, it is hard to judge the efficiency of such systems. Therefore, in this paper, we first present the fundamental properties of a multi-parent adaptive video streaming system. We then present a mathematical model of the adaptive streaming system, where we define efficient streaming as an optimization of a cost function that can be solved as an Integer Linear Programming problem. The model illustrates the relation among all the parameters that affect the resource contribution, resource utilization, load balancing, and service fairness. We use this model to analyze the trade-offs that exist between service fairness and system efficiency.

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A serious gaming approach for optimization of energy allocation in CubeSats

Almalki

Angelides

2023

Multimed Tools Appl

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Energy consumption remains an open challenge in aerial systems such as CubeSats and therefore optimization of its allocation is a top priority for maximizing operational capacity. Our research review reveals a plethora of approaches for optimization of energy allocation and all achieving varying degrees of success and not without any compromises. In this paper, we exploit the use of serious gaming in a novel energy allocation algorithm that aims at minimizing energy consumption to maximize the utilities of both CubeSats and terrestrial sensors. To demonstrate this, we use Stackelberg for serious gaming and standalone topology for CubeSat configuration. The experimental results show that the use of a Stackelberg game approach for optimization has led to reduction in the required transmission energy in sensors, an improved link performance between the CubeSat and ground sensors, and an increase in network lifetime and performance without resorting into sensor power enhancements or other external power sources. The overall average operational capacity improvement predictions range between 22 to 27% across all performance indicators of energy efficiency across RF chains of link budgets.

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A game approach to optimization of bandwidth allocation using MPEG-7 and MPEG-21

Cited by 4 publications

References 57 publications

CAIN-21: Automatic adaptation decisions and extensibility in an MPEG-21 adaptation engine

CAIN-21: Automatic adaptation decisions and extensibility in an MPEG-21 adaptation engine

Modeling and Evaluation of a Metadata-Based Adaptive P2P Video-Streaming System

A serious gaming approach for optimization of energy allocation in CubeSats

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