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http://hdl.handle.net/1942/27541
Title: | Standards-compliant HTTP Adaptive Streaming of Static Light Fields | Authors: | WIJNANTS, Maarten LIEVENS, Hendrik MICHIELS, Nick PUT, Jeroen QUAX, Peter LAMOTTE, Wim |
Issue Date: | 2018 | Publisher: | ACM | Source: | Spencer, Stephen N. (Ed.). Proceedings of the 24th ACM Symposium on Virtual Reality Software and Technology, ACM, (Art N° 4) | Abstract: | Static light fields are an effective technology to precisely visualize complex inanimate objects or scenes, synthetic and real-world alike, in Augmented, Mixed and Virtual Reality contexts. Such light fields are commonly sampled as a collection of 2D images. This sampling methodology inevitably gives rise to large data volumes, which in turn hampers real-time light field streaming over best effort networks, particularly the Internet. This paper advocates the packaging of the source images of a static light field as a segmented video sequence so that the light field can then be interactively network streamed in a quality-variant fashion using MPEG-DASH, the standardized HTTP Adaptive Streaming scheme adopted by leading video streaming services like YouTube and Netflix. We explain how we appropriate MPEG-DASH for the purpose of adaptive static light field streaming and present experimental results that prove the feasibility of our approach, not only from a networking but also a rendering perspective. In particular, real-time rendering performance is achieved by leveraging video decoding hardware included in contemporary consumer-grade GPUs. Important trade-offs are investigated and reported on that impact performance, both network-wise (e.g., applied sequencing order and segmentation scheme for the source images of the static light field) and rendering-wise (e.g., disk-versus-GPU caching of source images). By adopting a standardized transmission scheme and by exclusively relying on commodity graphics hardware, the net result of our work is an interoperable and broadly deployable network streaming solution for static light fields. | Notes: | Wijnants, M (reprint author), Hasselt Univ tUL, Expertise Ctr Digital Media, Diepenbeek, Belgium. maarten.wijnants@uhasselt.be; hendrik.lievens@uhasselt.be; nick.michiels@uhasselt.be; jeroen.put@uhasselt.be; peter.quax@uhasselt.be; wim.lamotte@uhasselt.be | Keywords: | Static light fields; HTTP Adaptive Streaming; MPEG-DASH; video compression; H.264; JPEG; experimental evaluation; IBR | Document URI: | http://hdl.handle.net/1942/27541 | ISBN: | 9781450360869 | DOI: | 10.1145/3281505.3281539 | ISI #: | 000455377200004 | Rights: | Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from permissions@acm.org. | Category: | C1 | Type: | Proceedings Paper | Validations: | ecoom 2020 |
Appears in Collections: | Research publications |
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VRST_mwijnants_CAM_READY.pdf Restricted Access | Published version | 2.11 MB | Adobe PDF | View/Open Request a copy |
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