Principles of traditional animation applied to 3D computer animation
SIGGRAPH '87 Proceedings of the 14th annual conference on Computer graphics and interactive techniques
The design and analysis of spatial data structures
The design and analysis of spatial data structures
SIGGRAPH '95 Proceedings of the 22nd annual conference on Computer graphics and interactive techniques
Adapting simulated behaviors for new characters
Proceedings of the 24th annual conference on Computer graphics and interactive techniques
Retargetting motion to new characters
Proceedings of the 25th annual conference on Computer graphics and interactive techniques
Generating the animation of a 3D agent from explanation text
MULTIMEDIA '98 Proceedings of the sixth ACM international conference on Multimedia
Physically based motion transformation
Proceedings of the 26th annual conference on Computer graphics and interactive techniques
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Multimedia presentations and their applications are becoming more and more popular in most spheres of industry and everyday life. A database approach could help in querying presentations and reusing parts of existing presentations to create new ones. In this paper, we propose an object-oriented model built on a temporal interval tree structure for managing multimedia presentations as temporal databases. This model is based on a class hierarchy that reflects the temporal relationships among multimedia data comprising a presentation. Specifically, we will discuss extending this approach to reusing animations in our presentation database system. Hence, in this paper, based on the object-oriented data model and the database system, we propose storing animations in a database of 3D geometric models and motion descriptions. The reuse of 3D models is a common practice, unlike reusing motion which is rare because it is not as straightforward. Thus, we will explore more on motion reuse techniques. A set of generic and animation-oriented operations are given, which can be used to query and adapt animations for multimedia presentations based on their metadata.