13 lines
1.4 KiB
Plaintext
13 lines
1.4 KiB
Plaintext
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== Introduction
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In this chapter, we take a little step back from interaction and propose a system with simple interactions that however, addresses most of the open problems mentioned in @i:challenges[Section].
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We take inspiration from video streaming: working on the similarities between video streaming and 3D streaming (seen in @i:video-vs-3d[Section]), we benefit from the DASH efficiency (seen in @rw:dash[Section]) for streaming 3D content.
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DASH is based on content preparation and structuring which helps not only the streaming policies but also leads to a scalable and efficient system since it moves completely the load from the server to the clients.
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A DASH client downloads the structure of the content, and then, depending on its needs and independently of the server, decides what to download.
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In this chapter, we show how to mimic DASH video with 3D streaming, and we develop a system that keeps DASH benefits.
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@d3:dash-3d[Section] describes our content preparation and metadata, and all the preprocessing that is done to our model to allow efficient streaming.
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Section~\ref{d3:dash-client} gives possible implementations of clients that exploit the content structure.
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Section~\ref{d3:evaluation} evaluates the impact of the different parameters that appear both in the content preparation and the client.
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Finally, Section~\ref{d3:conclusion} sums up our work and explains how it tackles the challenges raised in the conclusion of the previous chapter.
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