User Profiling
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Algorithms and software components for identifying and modeling users’ preferences based on their viewing behavior
Hyper360 Production Techniques
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This deliverable will describe the final Hyper360 production technologies and algorithms implementing the 360 and 3D content production, fusion and quality analysis. Details about each tool's design and architecture will be presented.
Preliminary Production Techniques
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This deliverable will describe the technical progress with respect to the Hyper360 production technologies, outlining the preliminary algorithms developed for 360 and 3D content production, fusion and quality analysis.
Audience Assessment Framework
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Based on the results of T2.2 a protocol and assessment framework will be defined. This framework will define all the parameters related to user acceptance and will lay out a plan how to evaluate these.
Requirements and Scenarios
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This deliverable will describe the scenarios derived from task 2.1 that will be explored to extract concrete users' requirements
Automatic Camera Path and Player Technology
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Document describing algorithms and implementation of the automatic camera path generation in omnidirectional/360 videos and the player technology for animated camera move during playback.
Preliminary Media Graphs, Profiling and Recommendation Engine
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This deliverable will describe the preliminary technologies for media graphs and profiling, and outline the recommendation engine's design. Details about the algorithms used within these concepts will be offered.
Preliminary Player Technology
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First version of a player for 360° video supporting automatic camera paths, multi-viewport viewing, fused content.
Dissemination and Communication Plan
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The document will describe how the project will communicates with the outside world and will specifically address awareness raising amongst the target groups. Alongside with a detailed definition of target groups, the strategy will include an in-depth analysis of the communication channels tailored for these target groups.
Media Navigation Graph Techniques and Recommendation Engine
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Media graphs for 360 video to further extend the naturally rich content of omnidirectional media
