Paper
27 December 1999 Case for predictable media quality in networked multimedia applications
Anna Bouch, M. Angela Sasse
Author Affiliations +
Proceedings Volume 3969, Multimedia Computing and Networking 2000; (1999) https://doi.org/10.1117/12.373521
Event: Electronic Imaging, 2000, San Jose, CA, United States
Abstract
Shared networks are now able to support a wide range of applications, including real-time multimedia. This has led the networking community to consider a wider range of network Quality of Service (QoS) guarantees and pricing schemes. To date, the QoS required by networked multimedia applications has been described in terms of technical parameters. We argue that, in order to maximize the realized quality of any network, the QoS requirements of networked multimedia applications should be based on the value that users ascribe to the media quality they receive in the content of a particular task. This argument is supported with results from a set of studies in which users' perceptions of media quality was investigated for a listening task. We found that users' expectancies of quality directly influenced their ratings: low expectancies produce higher ratings for the same level of objective quality-- provided that quality is predictable. In conclusion, we outline the implications of our studies for the design of networked multimedia applications and the network services that support them.
© (1999) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Anna Bouch and M. Angela Sasse "Case for predictable media quality in networked multimedia applications", Proc. SPIE 3969, Multimedia Computing and Networking 2000, (27 December 1999); https://doi.org/10.1117/12.373521
Lens.org Logo
CITATIONS
Cited by 15 scholarly publications.
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Multimedia

Internet

Analytical research

Video

Network architectures

Sun

Computer science

Back to Top