Email this article 
Open Access
Subscription or Fee Access
Effective Algorithm Using Similarity Based Technique for Image and Video Databases
Abstract
Navidgator, an intelligent browsing-tool for image and video data is developed. The main problem with the handling of multimedia databases is the navigation through and the search within the content of a database. The major problem arises from the difference between the possible textual description (annotation) of the database content and its visual appearance. Overcoming the so called semantic gap has been in the focus of research for some time. In the present study, a new system for similarity-based browsing of multimedia databases is presented. The system aims at decreasing the semantic gap by using a tree structure, built up on balanced hierarchical clustering. Using this approach, operators are provided with an intuitive and easy-to-use browsing tool. In the present study an attempt is made is not only on the description of the database organization and retrieval structure, but also how the proposed techniques might be integrated into a single system. In this paper an attempt is made for the direct use of a balanced tree structure for navigating through the database of keyframes, paired with an easy-to-use interface, offering a coarse to fine similarity-based view of the grouped database content.
Keywords
References
X. He, D. Cai, J.R. Wen, W.Y. Ma and H.J. Zhang, “ImageSeer:Clustering and Searching WWW Images Using Link and Page Layout Analysis”, Microsoft Technical Re port, (2004), MSR-TR-2004-38.
Smeulders A., Worring M., Santini S., Gupta A., Jain R.: Content based image retrieval at the end of the early years. IEEE transactions on pattern analysis and machine intelligence, 22 (12) (2000), 1349-1379
Broecker L., Bogen M., Cremers A.B.: Bridging the semantic gap in content- based image retrieval systems. In: Internet Multimedia Management Systems II, Volume 4519 of Presented at the Society of Photo-Optical Instrumentation Engineers (SPIE) Conference. (2001)54-62
Zhao R., Grosky W.: Narrowing the semantic gap-improved text-based web document retrieval using visual features. Multimedia, IEEE Transactions on 4(2) (2002) 189-200
Zhao R., Grosky W.: Bridging the Semantic Gap in Image Retrieval.Distributed Multimedia Databases: Techniques and Applications (2003)
Dorai C., Venkatesh S., Bridging the semantic gap with computational media aesthetics. Multimedia, IEEE 10(2) (2003) 15-17
S. Yu., D. Cai., J.R. Wen., W.Y. Ma.,: “Improving pseudo-relevance feedback in web information retrieval using web page segmentation”,Proc. 12th World Wide Web Conference, (2003), Budapest, Hungary
Barecke T., Kijak E., Nurnberger A., Detyniecki M.: A som-based interface for video browsing. Image and Video Retrieval, Proceedings 4071 (2006) 506-509
Rautiainen M., Ojala T., Seppanen T.: Cluster-temporal browsing of large news video databases. IEEE Int. Conference on Multimedia and Expo 2 (2004) 751{754
Chen J., Bouman, C., Dalton J.: Similarity pyramids for browsing and organization of large image databases. SPIE Human Vision and Electronic Imaging III 3299 (1998)
Chen J.Y., Bouman C., Dalton J.: Hierarchical browsing and search of large image databases. Image Processing, IEEE Transactions on 9, Issue 3 (March 2000) 442- 455
Taskiran C., Chen J., Albiol A., Torres L., Bouman C., Delp E.., A compressed video database structured for active browsing and search,IEEE Transactions on Multimedia 6(1) (FEB 2004) 103{118
Johnson S.C.: Hierarchical clustering schemes. Psychometrika 32(3)(1967), 241-241
Manjunath B., Ohm, J., Vasudevan, V., Yamada, A.: Color and texture descriptors. IEEE Trans. on Circuits Syst. for Video Techn. 11(6) (2001)
McQueen J.: Some methods for classification and analysis of multivariate observations. In Proceedings of the Fifth Berkeley Symposium on Mathematical Statistics and Probability (1967) 281-297
Tamura H., Mori S., Yamawaki, T.: Textual features corresponding to visual perception. IEEE Transactions on Systems, Man, and Cybernetics SMC-8(6) (1978)
Refbacks
- There are currently no refbacks.
This work is licensed under a Creative Commons Attribution 3.0 License.