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Design and evaluation of tile selection algorithms for tiled HTTP adaptive streaming (Best paper award)

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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.
Keywords
HTTP Adaptive Streaming, IBCN, Tiled HTTP Adaptive Streaming, Client quality selection algorithms

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Citation

Please use this url to cite or link to this publication:

Chicago
Devloo, Jens, Nils Lamot, Jelle Van Campen, Evi Weymaere, Steven Latré, Jeroen Famaey, R Van Brandenburg, and Filip De Turck. 2013. “Design and Evaluation of Tile Selection Algorithms for Tiled HTTP Adaptive Streaming (Best Paper Award).” In Lecture Notes in Computer Science, 7943:25–36.
APA
Devloo, J., Lamot, N., Van Campen, J., Weymaere, E., Latré, S., Famaey, J., Van Brandenburg, R., et al. (2013). Design and evaluation of tile selection algorithms for tiled HTTP adaptive streaming (Best paper award). LECTURE NOTES IN COMPUTER SCIENCE (Vol. 7943, pp. 25–36). Presented at the 7th IFIP WG 6.6 International Conference on Autonomous Infrastructure, Management, and Security (AIMS).
Vancouver
1.
Devloo J, Lamot N, Van Campen J, Weymaere E, Latré S, Famaey J, et al. Design and evaluation of tile selection algorithms for tiled HTTP adaptive streaming (Best paper award). LECTURE NOTES IN COMPUTER SCIENCE. 2013. p. 25–36.
MLA
Devloo, Jens, Nils Lamot, Jelle Van Campen, et al. “Design and Evaluation of Tile Selection Algorithms for Tiled HTTP Adaptive Streaming (Best Paper Award).” Lecture Notes in Computer Science. Vol. 7943. 2013. 25–36. Print.
@inproceedings{4190515,
  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.},
  author       = {Devloo, Jens and Lamot, Nils and Van Campen, Jelle and Weymaere, Evi and Latr{\'e}, Steven and Famaey, Jeroen and Van Brandenburg, R and De Turck, Filip},
  booktitle    = {LECTURE NOTES IN COMPUTER SCIENCE},
  isbn         = {978-3-642-38998-6},
  issn         = {0302-9743},
  language     = {eng},
  location     = {Barcelona, Spain},
  pages        = {25--36},
  title        = {Design and evaluation of tile selection algorithms for tiled HTTP adaptive streaming (Best paper award)},
  volume       = {7943},
  year         = {2013},
}

Web of Science
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