Abstract
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. This paper proposes a semantic-based multimedia database system that enables users to search the meaning of video data in a diverse manner. It uses both semantic and dependency weights to perform video retrieval for the environment education of infants. In the proposed system, the user searches multimedia data for environment education through entering keywords. The mobile agent then computes both semantic and dependency weights, ensuring the accuracy of data retrieved using calculated weights as annotative information of key frames. As a result of implementing and testing the prototype of the proposed system, a higher precision of approximately 96.5% was obtained.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Adali, S., et al.: The Advanced Video Information System: data structure and query processing. In: Multimedia System, pp. 172–186 (1996)
Ricardo, B.Y., Berthier, R.N.: Modern Information Retrieval. ACM Press, New York (1999)
Kamba, T., Elson, S.A.: Using small screen space more efficiently. In: Proceedings of CHI 1996. ACM Press, New York (1996)
Buyukkokten, O., Garcia-Molina, H.: Power Browser: Efficient Web Browsing for PDAs. In: Proceedings of CHI 2000. ACM Press, New York (2000)
Li, J., et al.: Scalable portrait video for mobile video communication. IEEE Trans. on CSVT 13(5), 376–384 (2003)
Dubuc, C., et al.: The design and simulated performance of a mobile video telephony application for satellite third-generation wireless systems. IEEE Trans. on Multimedia 3(4), 424–431 (2001)
Adali, S.: The Advanced Video Information System: Data Structure and Query Processing. ACM Multimedia System 4(4), 172–186 (1996)
Hjelsvold, R.: VideoSTAR-A Database for Video Information Sharing. Ph.D. Thesis, Norwegian Institute of Technology (1995)
Ngo, C.-W., Pong, T.-C., ZhangOn, H.-J.: Clustering and retrieval of video shots through temporal slices analysis. IEEE Trans on Multimedia 04(04), 0446–0458 (2002)
Lee, J., Lee, K.: A Semantics-based Video Retrieval System using Indexing Agent. In: Conference on KMMS 2003, vol. 6(2), pp. 281–284 (2003)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2005 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Lee, K.W., Cho, H.S., Lee, J.H., Cho, W.Y. (2005). A Mobile Multimedia Database System for Infants Education Environment. In: Jia, X., Wu, J., He, Y. (eds) Mobile Ad-hoc and Sensor Networks. MSN 2005. Lecture Notes in Computer Science, vol 3794. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11599463_107
Download citation
DOI: https://doi.org/10.1007/11599463_107
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-30856-0
Online ISBN: 978-3-540-32276-4
eBook Packages: Computer ScienceComputer Science (R0)