Domain knowledge ontology building for semantic video event description

Authors:
Dan Song;Hai Tao Liu;Miyoung Cho;Hanil Kim;Pankoo Kim
Affiliations:
Dept. of Computer Science, Chosun University, Gwangju, Korea;Dept. of Computer Science, Chosun University, Gwangju, Korea;Dept. of Computer Science, Chosun University, Gwangju, Korea;Dept. of Computer Education, Jeju University, Jeju-do, Korea;Dept. of CSE, Chosun University, Korea
Venue:
CIVR'05 Proceedings of the 4th international conference on Image and Video Retrieval
Year:
2005

Citing 9
Cited 1

The Holy Grail of Content-Based Media Analysis

IEEE MultiMedia
Semantic Modeling and Knowledge Representation in Multimedia Databases

IEEE Transactions on Knowledge and Data Engineering
A Survey on Content-Based Retrieval for Multimedia Databases

IEEE Transactions on Knowledge and Data Engineering
Knowledge Retrieval and the World Wide Web

IEEE Intelligent Systems
Ontology-Based Photo Annotation

IEEE Intelligent Systems
A self-referential perceptual inference framework for video interpretation

ICVS'03 Proceedings of the 3rd international conference on Computer vision systems
Rapid scene analysis on compressed video

IEEE Transactions on Circuits and Systems for Video Technology
Region-based representations of image and video: segmentation tools for multimedia services

IEEE Transactions on Circuits and Systems for Video Technology
Overview of the MPEG-7 standard

IEEE Transactions on Circuits and Systems for Video Technology

The e-Sentencias Prototype: A Procedural Ontology for Legal Multimedia Applications in the Spanish Civil Courts

Proceedings of the 2009 conference on Law, Ontologies and the Semantic Web: Channelling the Legal Information Flood

Quantified Score

Hi-index	0.00

Visualization

Abstract

A novel method for video event analysis and description based on the domain knowledge ontology has been put forward in this paper. Semantic concepts in the context of the video event are described in one specific domain enriched with qualitative attributes of the semantic objects, multimedia processing approaches and domain independent factors: low level features (pixel color, motion vectors and spatio-temporal relationship). In this work, we consider one shot (episode) in the Billiard Game of video as the domain to explain how the high-level semantic mapped into low level features and the detection of the semantically important event.