2015
DOI: 10.1109/tmm.2015.2389714
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Anchor View Allocation for Collaborative Free Viewpoint Video Streaming

Abstract: Abstract-In free viewpoint video, a viewer can choose at will any camera angle or the so-called "virtual view" to observe a dynamic 3-D scene, enhancing his/her depth perception. The virtual view is synthesized using texture and depth videos of two anchor camera views via depth-image-based rendering (DIBR). We consider, for the first time, collaborative live streaming of a free viewpoint video, where a group of users may interactively pull and cooperatively share streams of different anchor views. There is a c… Show more

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Cited by 11 publications
(11 citation statements)
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“…Similar to scalable video streaming, lower layers are assigned higher important levels. In [35], Ren et al investigate the problem of sharing the peers' reference views for the virtual view synthesis in live free viewpoint video streaming scenarios. They propose an algorithm to help peers choose their reference views and neighbouring peers based on minimizing the total streaming costs (e.g.…”
Section: Multiview Video Streamingmentioning
confidence: 99%
“…Similar to scalable video streaming, lower layers are assigned higher important levels. In [35], Ren et al investigate the problem of sharing the peers' reference views for the virtual view synthesis in live free viewpoint video streaming scenarios. They propose an algorithm to help peers choose their reference views and neighbouring peers based on minimizing the total streaming costs (e.g.…”
Section: Multiview Video Streamingmentioning
confidence: 99%
“…Using an array of cameras to capture a 3D scene synchronously from slightly shifted viewpoints, IMVS systems [4][5][6][7][8] study how the captured multi-view videos can be pre-encoded into multiple streams. A receiving user can periodically request switches to neighboring camera views, and the server in response switches video streams with minimum discruption to the user's viewing experience.…”
Section: Related Workmentioning
confidence: 99%
“…To facilitate stream-switching, new frames like DSC frame [9] and merge frame (M-frame) [10] were proposed. Unlike IMVS [4][5][6][7][8], we optimize the division of 360 VR video into multiple streams covering different view ranges given a constant RTT. To the best of our knowledge, we are the first to study this problem for interactive VR video streaming formally.…”
Section: Related Workmentioning
confidence: 99%
“…In particular, we assume that the distortion Du() has the property of monotonicity in reference view distance, as done in [12]:…”
Section: Synthesized View Distortionmentioning
confidence: 99%