Abstract
Indexing and retrieval techniques for various multimedia data have become more and more important as a diverse range of multimediabased content services are increasingly provided in wireless network. This paper presents a semantics-based video retrieval system that lets the user retrieve the meanings of large capacity multimedia data in a various way that employs annotation- and feature-based retrieval mechanisms in wireless network. As extract comparison area of optimized after learn feature comparison area, proposed system could reduce number of comparison area remarkably. Also, showed experiment result that improve more recall and precision than previous research.
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. Multimedia System, 172–186 (1996)
Ricardo, B.Y., Berthier, R.N.: Modern Information Retrieval. ACM Press, New York (1999)
Kamba, T., Adali, S., et al.: Using small screen space more efficiently. In: Proceedings of CHI 1996. ACM Press, New York (1996)
Buyukkokten, H.O., et al.: 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)
Hjelsvold, R.: VideoSTAR - A Database for Video Information Sharing, Ph. D. Thesis, Norwegian Institute of Technology (November 1995)
Rehatsch, H., Muller, H.: A Generic Annotation Model for Video Database. In: Huijsmans, D.P., Smeulders, A.W.M. (eds.) VISUAL 1999. LNCS, vol. 1614, pp. 383–390. Springer, Heidelberg (1999)
Smith, J.R., Chang, S.F.: VisualSEEK: a fully automated content-based image query system. ACM Multimedia, Boston (1996)
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), 446–458 (2002)
Jonghee, L., Keunwang, L.: 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
© 2004 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Lee, JH., Lee, KH., Jun, MS., Lee, KW. (2004). An Multimedia Database System Using Mobile Indexing Agent in Wireless Network. In: Negoita, M.G., Howlett, R.J., Jain, L.C. (eds) Knowledge-Based Intelligent Information and Engineering Systems. KES 2004. Lecture Notes in Computer Science(), vol 3215. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-30134-9_12
Download citation
DOI: https://doi.org/10.1007/978-3-540-30134-9_12
Published:
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-23205-6
Online ISBN: 978-3-540-30134-9
eBook Packages: Springer Book Archive