A novel hybrid 3D video service algorithm based on scalable video coding (SVC) technology |
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| Affiliation: | 1. Department of Nutritional Sciences, University of Toronto, Toronto, ON, Canada M5S 1A8;2. Keenan Research Centre for Biomedical Science of St. Michael’s Hospital, Toronto, ON, Canada M5B 1T8;3. Center for Epigenetics, Van Andel Research Institute, Grand Rapids, MI 49503-2518, USA;4. Department of Medicine, University of Toronto, Toronto, ON, Canada M5S 1A8;5. USC Epigenome Center, University of Southern California, Los Angeles, CA 90089-9601, USA;6. Department of Biochemistry and Molecular Biology, University of Southern California, Los Angeles, CA 90089-9601, USA;7. Division of Gastroenterology, St. Michael’s Hospital, Toronto, ON, Canada M5B 1W8;1. Jordan University of Science & Technology, Irbid 22110, Jordan\n;2. Princess Sumayya University for Technology, Amman, Jordan;3. Nanyang Technological University, Singapore 639798, Singapore\n;4. Wayne State University, Detroit, MI 48202, USA\n;5. The University of Michigan-Ann Arbor, Ann Arbor MI 48109-1079, USA\n |
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| Abstract: | A scalable video coding (SVC) server can simultaneously provide a single bitstream with a fixed maximum service layer for different kinds of devices having different memory capacity, network bandwidth, and CPU performance requirements. An efficient hybrid 3D video service scheme is proposed without violation of the SVC standard technology for multiple transmission paths. A dynamic local disparity vector estimation algorithm is used to reflect the motion shift component between stereo views in the inter-layer prediction stage of the SVC encoder. To improve the coding efficiency, an adaptive search scheme based on distortion rates (DRs) between corresponding and reference macroblocks is used. Based on experimental results, up to 1.41 dB of quality improvement using JSVM 9.19 reference software is verified. |
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| Keywords: | Scalable video coding Multiple channels Local disparity vector Interlayer prediction |
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