NDLI: Semantic-based rules for 3D scene adaptation

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Semantic-based rules for 3D scene adaptation

Content Provider	ACM Digital Library
Author	Bilasco, Ioan Marius Villanova-Oliver, Marlène Gensel, Jérôme Martin, Hervé
Abstract	3D data is democratizing on the Web as it becomes available to everybody on almost all access devices. Still, 3D data is a heavy medium, as it contains a lot of geometric and texture information. This complexity raises a lot of problems, especially when data initially designed for great capacity access devices, is to be deployed on small devices. Due to the great heterogeneity of access devices and of their users and usages, the adaptation of already designed data is an important issue. In this paper, we present a rule-based adaptation framework that deals with the adaptation of X3D scenes. An adaptation rule indicates a type of adaptation to be applied to a set of objects which fit with the rule criterion. A basic set of adaptation techniques are registered within the framework. The framework is flexible and additional adaptation engines can be registered in order to support large sets of adaptation techniques.
Starting Page	97
Ending Page	100
Page Count	4
File Format	PDF
ISBN	9781595936523
DOI	10.1145/1229390.1229406
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	2007-04-15
Publisher Place	New York
Access Restriction	Subscribed
Subject Keyword	Adaptation frame work Rule-based adaptations 3d data Geometric degradation Semantic filtering
Content Type	Text
Resource Type	Article

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