Paper Info
Title
A video retrieval system for electrical safety education based on a mobile agent
Abstract
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.
Year
DOI
Venue
2005
10.1007/11424826_89
ICCSA'05 Proceedings of the 2005 international conference on Computational Science and Its Applications - Volume Part II
Keywords
Field
DocType
semantic-based retrieval scheme,semantic-based video retrieval system,electrical safety-related educational purpose,various video data,video data,user input,video data retrieval efficiency,proposed system,mobile agent,electrical safety education,diverse user query
Annotation,System safety,Video retrieval,Data retrieval,Computer science,Mobile agent,Image retrieval,Video tracking,Multimedia,Semantics
Conference
Volume
ISSN
ISBN
3481
0302-9743
3-540-25861-2
Citations 
PageRank 
References 
0
0.34
9
Authors
2
Name
Order
Citations
PageRank
Hyeon Seob Cho100.68
Keun-Wang Lee22413.44