Software-based serverless endpoint video combiner architecture for high-definition multiparty video conferencing

Article


Baskaran, V., Chang, Y., Loo, J. and Wong, K. 2013. Software-based serverless endpoint video combiner architecture for high-definition multiparty video conferencing. Journal of Network and Computer Applications. 36 (1), pp. 336-352. https://doi.org/10.1016/j.jnca.2012.05.008
TypeArticle
TitleSoftware-based serverless endpoint video combiner architecture for high-definition multiparty video conferencing
AuthorsBaskaran, V., Chang, Y., Loo, J. and Wong, K.
Abstract

This paper proposes an endpoint video combiner architecture in a multipoint control unit (MCU) system for high definition multiparty video conferencing. The proposed architecture addresses the current reliability, computational and quality drawbacks of a conventional centralized based video combiner architecture. This is achieved by redesigning the MCU video to move away the video combiner from the bridge and into the client endpoints. Moreover, the proposed architecture represents a serverless system and is able to scale a large number of clients at high resolutions in a multipoint video conferencing session. In order to realize this design, this paper also proposes a custom robust sustainable session management protocol which allows a dynamic multi-port management between the MCU video and client endpoints. In addition, the proposed custom session management protocol includes recommendation for a session protection structure. Experimental results suggest that the proposed architecture exhibits significant computational frame rate performance gains of up to 762.95% in comparison with the conventional centralized video combiner architecture based on a series of four and eight high definition combined video assessments. Moreover, reliability analysis suggests that the proposed architecture is also able to consistently sustain a high frame rate performance within a long duration high definition multipoint video conferencing session.

Research GroupSensoLab group
PublisherElsevier
JournalJournal of Network and Computer Applications
ISSN1084-8045
Publication dates
Print01 Jan 2013
Publication process dates
Deposited09 Apr 2013
Output statusPublished
Digital Object Identifier (DOI)https://doi.org/10.1016/j.jnca.2012.05.008
LanguageEnglish
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