Print Email Facebook Twitter Design and evaluation of tile selection algorithms for tiled HTTP adaptive streaming Title Design and evaluation of tile selection algorithms for tiled HTTP adaptive streaming Author Devloo, J. Lamot, N. van Campen, J. Weymaere, E. Latré, S. Famaey, J. van Brandenburg, R. de Turck, F. Contributor Doyen, G. (editor) Waldburger, M. (editor) Publication year 2013 Abstract The future of digital video is envisioned to have an increase in both resolution and interactivity. New resolutions like 8k UHDTV are up to 16 times as big in number of pixels compared to current HD video. Interactivity includes the possibility to zoom and pan around in video. We examine Tiled HTTP Adaptive Streaming (TAS) as a technique for supporting these trends and allowing them to be implemented on conventional Internet infrastructure. In this article, we propose three tile selection algorithms, for different use cases (e.g., zooming, panning). A performance evaluation of these algorithms on a TAS testbed, shows that they lead to better bandwidth utilization, higher static Region of Interest (ROI) video quality and higher video quality while manipulating the ROI. We show that we can transmit video at resolutions up to four times larger than existing algorithms during bandwidth drops, which results in a higher quality viewing experience. We can also increase the video quality by up to 40 percent in interactive video, during panning or zooming. © 2013 IFIP International Federation for Information Processing. Subject Communication & InformationMNS - Media & Network ServicesTS - Technical SciencesInfostructuresInformaticsInformation SocietyClient quality selection algorithmsHTTP Adaptive StreamingTiled HTTP Adaptive Streaming To reference this document use: http://resolver.tudelft.nl/uuid:46a5490d-792e-438e-b805-a67e35cd587d DOI https://doi.org/10.1007/978-3-642-38998-6_3 TNO identifier 474972 Publisher Springer, Berlin Source Emerging Management Mechanisms for the Future Internet. 7th IFIP WG 6.6 International Conference on Autonomous Infrastructure, Management, and Security, AIMS 2013, 25-28 June 2013, Barcelona, Spain, 25-36 Series Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) Document type bookPart Files To receive the publication files, please send an e-mail request to TNO Library.