Efficient personalized scalable video adaptation decision-taking engine based on MPEG-21

Author

Arnaiz, Laura ; Menéndez, José Manuel ; Jiménez, David

Author_Institution

Dept. de Senales, Sist. y Radiocomun., Univ. Politec. de Madrid, Madrid, Spain

Volume

57

Issue

2

fYear

2011

fDate

5/1/2011 12:00:00 AM

Firstpage

763

Lastpage

770

Abstract

This paper presents a novel algorithm designed to efficiently adapt scalable video using MPEG-21. The algorithm is able to take the optimal decision among all possible video adaptations. It takes into account information about network, user terminal and user preferences. This information is gathered together by means of MPEG-21 DIA descriptors. The decision on the optimal adaptation is achieved through the application of the Viterbi algorithm. The results prove that the presented decision-taking engine offers an optimal and efficient solution for personalized scalable video adaptation in heterogeneous environments.

Keywords

maximum likelihood estimation; video streaming; MPEG-21 DIA descriptors; Viterbi algorithm; decision-taking engine; personalized scalable video adaptation; Bandwidth; Bit rate; Scalability; Spatial resolution; Static VAr compensators; Transform coding; Viterbi algorithm; MPEG-21; SVC; Universal Multimedia Access (UMA); Viterbi; adaptation;

fLanguage

English

Journal_Title

Consumer Electronics, IEEE Transactions on

Publisher

ieee

ISSN

0098-3063

Type

jour

DOI

10.1109/TCE.2011.5955220

Filename

5955220