4 results
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2. Objective Models for Performance Comparison of Compression Algorithms for 3DTV.
- Author
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KUFA, Jan, KALLER, Ondrej, ZACH, Ondrej, POLAK, Ladislav, and KRATOCHVIL, Tomas
- Subjects
VIDEO codecs ,VIDEO compression ,MULTIMEDIA systems ,ALGORITHMS ,CODECS ,VIDEO coding - Abstract
Efficient video compression algorithms in advanced multimedia broadcasting systems are in high demand. In the last decades, different video compression tools have been developed which can influence the final Quality of Experience in different ways, his paper has two goals. The first goal is to present a study of different compression algorithms available for stereoscopic 3D videos. The second goal is to present the possibilities in the creation of new stereoscopic models. The well-established video codecs (AVC, MVC, HEVC and MV-HEVC) are considered as encoders. Generic objective video quality metrics are used to analyze the compression efficiencies of the considered codecs, extended with results from subjective tests. The correlations between the objective and subjective scores are analyzed statistically. Due to unsatisfactory results of generic 2D metrics for the stereoscopic sequences used in the test, new objective models are presented. Such models show improved correlation with subjective stereoscopic video quality. The validation, verification and a description of models are presented in detail. [ABSTRACT FROM AUTHOR]
- Published
- 2019
- Full Text
- View/download PDF
3. RSA -- QoS: A Resource Loss Aware Scheduling Algorithm for Enhancing the Quality of Service in Mobile Networks.
- Author
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Ramkumar, K. and Newton, P. Calduwel
- Subjects
CODECS ,QUALITY of service ,COMPUTER scheduling ,LONG-Term Evolution (Telecommunications) ,COMPUTER algorithms - Abstract
Adaptive Multi-Rate Codec is one of the codecs which is used for making voice calls. It helps to connect people who are scattered in various geographical areas. It adjusts its bit-rate according to the user's channel conditions. It plays a vital role in providing an improved speech quality of voice connection in Long Term Evolution (LTE). There are some constraints which need to be addressed in providing this service profitably. Quality of Service (QoS) is the dominant mechanism which determines the quality of the speech in communication. On several occasions, number of users are trying to access the same channel simultaneously by standing in a particular region for a longer period of time. It refers to Multi-user channel sharing problem which leads to resource loss very often. The main aim of this paper is to develop a novel RSA -- QoS scheduling algorithm for reducing the Resource Loss Ratio. Eventually, it increases the throughput.The simulation result shows that the RSA -- QoS increases the number of users for accessing the resources better than the existing algorithms in terms of resource loss and throughput. Ultimately, it enhances the QoS in Mobile Networks. [ABSTRACT FROM AUTHOR]
- Published
- 2018
- Full Text
- View/download PDF
4. Distributed strategic learning and game theoretic formulation of network embedded coding.
- Author
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Esposito, Christian, Castiglione, Aniello, Palmieri, Francesco, and Pop, Florin
- Subjects
PUBLISHING ,GAME theory ,CODING theory ,CODECS ,REDUNDANCY in engineering - Abstract
Highlights • Analysis of the issues for applying FEC schemes to reliable event notification. • Formalization of the codec placement and redundancy tuning as an optimization problem. • Resolution by means of game theory and distributed learning. • Simulation and quantitative assessment of the proposed solution. Abstract Nowadays, there is a growing demand of middleware solutions for reliable event notification over the Internet due to several key industrial projects aiming at integrating existing legacy systems and enhancing their functionalities. Reliable event notification is mainly realized by means of retransmissions, with the consequent worsening of the performance and traffic load. Traditionally, the opposite approach of spatial redundancy is not used due to the tunability, scalability and flexibility issues of its implementation schemes. In this paper, we propose a game theoretic formulation of Forward Error Correction (one of the mean schemes to introduce spatial redundancy), in order to resolve these mentioned issues. Moreover, we introduce distributed strategic learning for the optimal formulation of the payoff functions in the game, and for the effective adaptivity in response to the possible variations in the experienced loss patterns. We prove the quality of this solution by using a series of simulations run on OMNET++. [ABSTRACT FROM AUTHOR]
- Published
- 2018
- Full Text
- View/download PDF
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