27 lines
2.4 KiB
XML
27 lines
2.4 KiB
XML
== Thesis outline
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First, in @f, we give some preliminary information required to understand the types of objects we are manipulating in this thesis.
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We then proceed to compare 3D and video content: video and 3D share many features, and analyzing video setting gives inspiration for building a 3D streaming system.
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In @rw, we present a review of the state of the art in multimedia interaction and streaming.
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This chapter starts with an analysis of the video streaming standards.
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Then it reviews the different 3D streaming approaches.
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The last section of this chapter focuses on 3D interaction.
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Then, in @bi, we present our first contribution: an in-depth analysis of the impact of the UI on navigation and streaming in a 3D scene.
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We first develop a basic interface for navigating in 3D and then, we introduce 3D objects called _bookmarks_ that help users navigating in the scene.
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We then present a user study that we conducted on 51 people which shows that bookmarks ease user navigation: they improve performance at tasks such as finding objects.
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We analyze how the presence of bookmarks impacts the streaming: we propose and evaluate streaming policies based on precomputations relying on bookmarks and that measurably increase the quality of experience.
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In Chapter X, we present the most important contribution of this thesis: DASH-3D.
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DASH-3D is an adaptation of DASH (Dynamic Adaptive Streaming over HTTP): the video streaming standard, to 3D streaming.
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We first describe how we adapt the concepts of DASH to 3D content, including the segmentation of content.
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We then define utility metrics that rate each chunk depending on the user's position.
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Then, we present a client and various streaming policies based on our utilities which can benefit from DASH format.
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We finally evaluate the different parameters of our client.
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In Chapter X, we present our last contribution: the integration of the interaction ideas that we developed in Chapter X into DASH-3D.
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We first develop an interface that allows desktop as well as mobile devices to navigate in streamed 3D scenes, and that introduces a new style of bookmarks.
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We then explain why simply applying the ideas developed in Chapter X is not sufficient and we propose more efficient precomputations that enhance the streaming.
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Finally, we present a user study that provides us with traces on which we evaluate the impact of our extension of DASH-3D on the quality of service and on the quality of experience.
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