Adaptation as a premise for perceptual-based multimedia communications

The vision of a new generation of network communication architectures, which deliver a Quality of Service based on intelligent decisions about the interactions that typically take place in a multimedia scenario, encourages researchers to look at novel ways of matching user-level requirements with parameters characterising underlying network performance. In this paper, we suggest an integrated architecture that makes use of the objective-technical information provided by the designer and the Quality of Perception metric for intelligent decision making in the construction of user-centred adaptable communication protocols. This approach, based on the Analytic Hierarchy Process, incorporates not only classical Quality of Service considerations, but indeed, user preferences as well, and opens the possibility for the suggested protocols to dynamically adapt based on a changing operating environment. Results show that the proposed approach does provide an enhanced user multimedia experience when compared with legacy communication protocols.

[1]  Tatsuya Yamazaki,et al.  Adaptive QoS Management for Multimedia Applications in Heterogeneous Environments: A Case Study with Video QoS Mediation (Special Issue on New Paradigms in Network Management) , 1999 .

[2]  E. Horlait,et al.  Quality of Service Management for Distributed Multimedia Applications , 1994, Proceeding of 13th IEEE Annual International Phoenix Conference on Computers and Communications.

[3]  George Ghinea,et al.  QoS impact on user perception and understanding of multimedia video clips , 1998, MULTIMEDIA '98.

[4]  Deborah Estrin,et al.  RSVP: a new resource ReSerVation Protocol , 1993 .

[5]  Sheila S. Hemami,et al.  Frame rate preferences in low bit rate video , 2003, Proceedings 2003 International Conference on Image Processing (Cat. No.03CH37429).

[6]  Bernhard Plattner,et al.  Da CaPo++ : communication support for distributed applications , 1997 .

[7]  Sheila S. Hemami,et al.  MINMAX rate control with a perceived distortion metric , 2004, IS&T/SPIE Electronic Imaging.

[8]  Kaoru Sezaki,et al.  Architecture of haptics communication system for adaptation to network environments , 2001, IEEE International Conference on Multimedia and Expo, 2001. ICME 2001..

[9]  G. A. Miller THE PSYCHOLOGICAL REVIEW THE MAGICAL NUMBER SEVEN, PLUS OR MINUS TWO: SOME LIMITS ON OUR CAPACITY FOR PROCESSING INFORMATION 1 , 1956 .

[10]  Peter Hofmann,et al.  Quality of service (QoS) in distributed hypermedia-systems , 1995, Proceedings of Fourth International Conference on Computer Communications and Networks - IC3N'95.

[11]  Dipankar Raychaudhuri,et al.  A dynamic quality of service framework for video in broadband networks , 1998 .

[12]  Mary K. Vernon,et al.  Scalable on-demand media streaming with packet loss recovery , 2001, TNET.

[13]  Johnson P. Thomas,et al.  Mapping Quality of Perception to Quality of Service: The Case for a Dynamically Reconfigurable Communication System , 2000 .

[14]  T. Saaty,et al.  The Analytic Hierarchy Process , 1985 .

[15]  Allan Kuchinsky,et al.  Quality is in the eye of the beholder: meeting users' requirements for Internet quality of service , 2000, CHI.

[16]  P. Herbig,et al.  Quality Is in the Eye of the Beholder , 1994 .

[17]  Wu-chi Feng,et al.  Quality-adaptive media streaming by priority drop , 2003, NOSSDAV '03.

[18]  Jaideep Srivastava,et al.  An adaptive, perception-driven error spreading scheme in continuous media streaming , 2000, Proceedings 20th IEEE International Conference on Distributed Computing Systems.