A Fast FoV-Switching DASH System Based on Tiling Mechanism for Practical Omnidirectional Video Services
With the development of multimedia technologies and virtual reality display devices, omnidirectional videos have gained popularity nowadays. To reduce the bandwidth requirement for omnidirectional video transmission, tile-based viewport adaptive streaming methods have been proposed in the literature...
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Published in | IEEE transactions on multimedia Vol. 22; no. 9; pp. 2366 - 2381 |
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Main Authors | , , , , , |
Format | Journal Article |
Language | English |
Published |
Piscataway
IEEE
01.09.2020
The Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Subjects | |
Online Access | Get full text |
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Summary: | With the development of multimedia technologies and virtual reality display devices, omnidirectional videos have gained popularity nowadays. To reduce the bandwidth requirement for omnidirectional video transmission, tile-based viewport adaptive streaming methods have been proposed in the literatures. Challenges related to decoding the tiles simultaneously with limited number of decoders, and ensuring user's viewing experience during the viewport switch are still to be solved. In this paper, a two-layer fast viewport switching dynamic adaptive streaming over HTTP (DASH) system based on tiling mechanism is proposed, which incorporates the viewing trajectory of end users. To deal with the simultaneously decoding problem, an open group of picture (GOP) technique is proposed to enable merging different types of tiles into a composite stream at the client side. To reduce the quality recovery duration after the viewport change, a fast-switching strategy is also proposed. Moreover, considering the priorities of different types of chunks, a download strategy is further proposed to adapt the bandwidth fluctuations and viewport changes. Experimental results showed that the proposed system can significantly reduce the recovery duration of high quality video by approximately 90%, which can provide a better viewing experience to end users. |
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ISSN: | 1520-9210 1941-0077 |
DOI: | 10.1109/TMM.2019.2957976 |