QoS impact on user perception and understanding of multimedia video clips
MULTIMEDIA '98 Proceedings of the sixth ACM international conference on Multimedia
Video Acceptability and Frame Rate
IEEE MultiMedia
Empirical Study of VBR Traffic Smoothing in Wireless Environment
IICS '02 Proceedings of the Second International Workshop on Innovative Internet Computing Systems
User-oriented QoS in packet video delivery
IEEE Network: The Magazine of Global Internetworking
Web Intelligence and Agent Systems
Mobile kärpät: a case study in wireless personal area networking
Proceedings of the 3rd international conference on Mobile and ubiquitous multimedia
A cognitive approach to user perception of multimedia quality: An empirical investigation
International Journal of Human-Computer Studies
Information Sciences: an International Journal
The kindest cut: enhancing the user experience of mobile tv through adequate zooming
Proceedings of the 15th international conference on Multimedia
Measuring quality of perception in distributed multimedia: Verbalizers vs. imagers
Computers in Human Behavior
Mobile services for horse-race betting: a QoS study of streaming horse-race videos to 3G phones
MobiMedia '06 Proceedings of the 2nd international conference on Mobile multimedia communications
Trafficking: design for the viral exchange of TV content on mobile phones
Proceedings of the 9th international conference on Human computer interaction with mobile devices and services
EC-XAMAS: SUPPORTING E-COMMERCE ACTIVITIES BY AN XML-BASED ADAPTIVE MULTI-AGENT SYSTEM
Applied Artificial Intelligence
Hi-index | 0.00 |
The objective of this study is to examine the effect of individual factors over human perception behavior and to determine the right set of parameters which effectively exploit the underlying network and system capacity while maximizing the QoS perceived by the user. For the comprehensive test, we examine three different types of video clips: news, drama and sport game. From each of the original video clip, we vary the encoding factors as follows: playback rate(384Kbits/sec and 1.5 Mbits/sec), frame rate(5 frames/sec, 15 frames/sec, and 25 frames/sec) and spatial resolution(176x244 and 320x240). We performed extensive user experiment. We particularly focus on video streaming in mobile wireless environment where playback rate and screen size are relatively small. The analysis result reveals that out of three encoding factors, frame rate is the most influential factor. Spatial resolution does not make significant difference on QoS for three video categories. Playback rate results in noticeable difference in QoS. However, the analysis result suggests that the improvement on QoS obtained by quadrupling the playback rate (from 384Kbits/sec to 1.5 Mbits/sec) may not be justifiable particularly when the screen size is small.