Using small screen space more efficiently
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
The advanced video information system: data structures and query processing
Multimedia Systems
VisualSEEk: a fully automated content-based image query system
MULTIMEDIA '96 Proceedings of the fourth ACM international conference on Multimedia
Power browser: efficient Web browsing for PDAs
Proceedings of the SIGCHI conference on Human Factors in Computing Systems
Modern Information Retrieval
A Generic Annotation Model for Video Databases
VISUAL '99 Proceedings of the Third International Conference on Visual Information and Information Systems
IEEE Transactions on Multimedia
On clustering and retrieval of video shots through temporal slices analysis
IEEE Transactions on Multimedia
Scalable portrait video for mobile video communication
IEEE Transactions on Circuits and Systems for Video Technology
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Recently, retrieval of various video data has become an important issue as more and more multimedia content services are being provided. To effectively deal with video data, a semantic-based retrieval scheme that allows for processing diverse user queries and saving them on the database is required. In this regard, this paper proposes a semantic-based video retrieval system that allows the user to search diverse meanings of video data for electrical safety-related educational purposes by means of automatic annotation processing. If the user inputs a keyword to search video data for electrical safety-related educational purposes, the mobile agent of the proposed system extracts the features of the video data that are afterwards learned in a continuous manner, and detailed information on electrical safety education is saved on the database. The proposed system is designed to enhance video data retrieval efficiency for electrical safety-related educational purposes.