Title :
Modelling high level semantics for video data management
Author :
Srinivasan, Uma ; Nepal, Surya ; Reynolds, Graham
Author_Institution :
Math. & Inf. Sci., CSIRO, North Ryde, NSW, Australia
Abstract :
In order to manage large collections of video content, we need appropriate video content models that can facilitate interaction with the content. The important issue for video applications is to accommodate different ways in which a video sequence can function semantically. The authors propose and illustrate a metamodel framework that allows users to develop and specify their own semantics using automatically detected features and explicitly specifying objects, events and their relationships
Keywords :
computational linguistics; content-based retrieval; image sequences; multimedia databases; very large databases; video databases; automatically detected features; high level semantics modelling; metamodel framework; video applications; video content models; video data management; video sequence; Australia; Content management; Event detection; Image databases; Layout; Mathematical model; Multimedia databases; Object detection; TV; Video sequences;
Conference_Titel :
Intelligent Multimedia, Video and Speech Processing, 2001. Proceedings of 2001 International Symposium on
Conference_Location :
Hong Kong
Print_ISBN :
962-85766-2-3
DOI :
10.1109/ISIMP.2001.925391