Abstract
As more multimedia data is delivered over networks, video data constitutes a significant amount of network traffic. On the other hand, consumers use a variety of displays to watch multimedia services delivered over networks. These devices include traditional TV monitors, smartphones, tablets and computer monitors. Consequently, screen sizes and viewing conditions (e.g., viewing distances, viewing environment illumination, etc.) may affect the perceptual video quality. Depending on the viewing environment and content characteristics, transmitting video data at high bitrates or high resolutions may not improve the perceptual video quality. In this paper, we investigate how various aspects of the viewing environment influence perceptual video quality and propose some methods to select bitrates and transmission resolutions based on perceptual video quality and viewing conditions for available bandwidth.
Original language | English |
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Title of host publication | 10th International Conference on Information, Intelligence, Systems and Applications, IISA 2019 |
Publisher | Institute of Electrical and Electronics Engineers Inc. |
ISBN (Electronic) | 9781728149592 |
DOIs | |
Publication status | Published - 2019 Jul |
Event | 10th International Conference on Information, Intelligence, Systems and Applications, IISA 2019 - Patras, Greece Duration: 2019 Jul 15 → 2019 Jul 17 |
Publication series
Name | 10th International Conference on Information, Intelligence, Systems and Applications, IISA 2019 |
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Conference
Conference | 10th International Conference on Information, Intelligence, Systems and Applications, IISA 2019 |
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Country/Territory | Greece |
City | Patras |
Period | 19/7/15 → 19/7/17 |
Bibliographical note
Funding Information:ACKNOWLEDGMENT This work was supported by the Korea Science and Engineering Foundation (KOSEF), under Grant 2009-0077978, funded by the Korean Government (MEST).
Publisher Copyright:
© 2019 IEEE.
All Science Journal Classification (ASJC) codes
- Computer Networks and Communications
- Artificial Intelligence
- Computer Vision and Pattern Recognition
- Information Systems
- Information Systems and Management
- Media Technology
- Education