Conceptual structures: information processing in mind and machine
Conceptual structures: information processing in mind and machine
Semantic descriptors and maps of meaning for videodisc images
Programmed Learning and Educational Technology
The prototype Cloris system: describing, retrieving and discussing videodisc stills and sequences
Information Processing and Management: an International Journal
Maintaining knowledge about temporal intervals
Communications of the ACM
An artificial intelligence approach to the conceptual description of videodisc images
An artificial intelligence approach to the conceptual description of videodisc images
Production and maintenance environments for interactive audio-visual stories
MULTIMEDIA '00 Proceedings of the 2000 ACM workshops on Multimedia
Designing annotation before it's needed
MULTIMEDIA '01 Proceedings of the ninth ACM international conference on Multimedia
The Application of Video Semantics and Theme Representation in Automated Video Editing
Multimedia Tools and Applications
A Conceptual Framework to Support Content-Based Multimedia Applications
ECMAST '99 Proceedings of the 4th European Conference on Multimedia Applications, Services and Techniques
Saying What it Means: Semi-Automated (News) Media Annotation
Multimedia Tools and Applications
Hi-index | 0.00 |
This paper describes a system for formally representing spatial relationships between videodisc image states called settings. A number of setting relations are defined, these being based on the manipulations of the camera typically used in the production of the moving film: zooming in or out, panning etc.. An algorithm is presented which, given a limited level of initial specification by a describer, will constrain, where possible, the setting relations holding between all pairs of settings. The resulting network is called the settings structure. The paper begins by placing the settings structure into the context of its being one part of the CLORIS system.