Abstract
The rapid growth and wide application of distance education have lead to the significant need for multimedia techniques and systems. It is difficult, however, to implement the interactions among the students or/and between the students and the teacher because of the huge volume of multimedia data. This paper presents a framework of the interactive multimedia system for distance learning of higher education with several novel characteristics. First, a hierarchical structure for multimedia system has been proposed to support personalized learning and teaching styles. Second, several feature selection algorithms have been used to support fast video classification and retrieval. Third, a novel asynchronous model has been provided to address the challenges issues of interaction in distance education. We analyze the performance of the system based on a real application of the self-study multimedia web page for the final exam of one university course.
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References
Lew, M.S., Sebe, N., Eakins, J.P.: Challenges of Image and Video Retrieval. In: Lew, M., Sebe, N., Eakins, J.P. (eds.) CIVR 2002. LNCS, vol. 2383, pp. 1–6. Springer, Heidelberg (2002)
Sundaram, H., Chang, S.F.: Computable scenes and structures in films. IEEE Trans. Multimedia 4, 482–491 (2002)
Fan, J., Luo, H., Elmagarmid, A.K.: Concept-oriented Indexing of Video Databases: Toward Semantic Sensitive Retrieval and Browsing. IEEE Trans. Image Processing 13, 974–992 (2004)
Barnard, K., Duygulu, P., de Freitas, N., Forsyth, D., Blei, D.M., Jordan, M.I.: Matching words and pictures. J. Mach. Learn. Res. 3, 1107–1135 (2003)
Bakker, E., Lew, M.: Semantic Video Retrieval Using Audio Analysis. In: Lew, M., Sebe, N., Eakins, J.P. (eds.) CIVR 2002. LNCS, vol. 2383, pp. 260–267. Springer, Heidelberg (2002)
Sato, T., Kanade, T., Hughes, E., Smith, M., Satoh, S.: Video OCR: Indexing Digital News Libraries by Recognition of Superimposed and Caption. ACM Multimedia Systems Special Issue on Video Libraries (February 1998)
Kim, K., Choi, J., Kim, N., Kim, P.: Extracting semantic information from basketball video based on audio-visual features. In: Lew, M., Sebe, N., Eakins, J.P. (eds.) CIVR 2002. LNCS, vol. 2383, pp. 278–288. Springer, Heidelberg (2002)
Wei, G., Sethi, I.K.: Omni-face detection for video/image content description. In: ACM Multimedia Workshops, pp. 185–189 (2000)
Naphade, M.R., Kristjansson, T., Fery, B., Huang, T.S.: Probabilistic Multimedia Objects Multijects: A novel Approach to Indexing and Retrieval in Multimedia Systems. In: Proceedings of IEEE International Conference on Image Processing, vol. 3, pp. 536–540 (2001)
Zhang, H., Low, C.Y., Smoliar, S.W.: Video Parsing and Browsing Using Compressed Data. Multimedia Tools and Applications 1, 89–111 (1995)
Lee, J., Dickinson, B.W.: Multiresolution video indexing for subband coded video databases. In: SPIE Proceedings: Image and Video Processing, vol. 2185, pp. 162–173 (1994)
Liu, Y., Kender, J.R.: Video frame categorization using Sort-Merge feature selection. In: Proceedings IEEE Workshop on Motion and Video Computing, pp. 72–77 (2002)
Liu, Y., Kender, J.R.: Feature selection for video data. In: Proceedings of the Third SIAM International Conference on Data Mining, San Francisco, CA, USA, May 1-3 (2003)
Liu, Y., Kender, J.R.: Fast scene segmentation using multi-level feature selection algorithm. In: IEEE International Conference on Multimedia & Expo (2003)
Liu, Y., Kender, J.R.: Video retrieval under sparse training data. In: CIVR, pp. 406–413 (2003)
Liu, Y., Kender, J.R.: Video Feature Selection Using Fast-converging Sort-Merge Tree. In: Submitted to IEEE International Conference on Multimedia & Expo (2004)
Liu, Y., Kender, J.R.: Fast video segment retrieval by Sort-Merge feature selection, boundary refinement, and lazy evaluation. Computer Vision and Image Understanding 92(2-3), 147–175 (2003)
Iskander, M.F.: Computer-Based Electromagnetic Education. IEEE Transactions on Microwave Theory and Techniques 41(6b) (1993)
Schnepf, J., Konstan, J.A., Du, D.H.-C.: Doing FLIPS: Flexible Interactive Presentation Synchronization. IEEE Journal on Selected Areas in Communications 14(1) (January 1996)
Tobagi, F.A.: Distance Learning with Digital Video. IEEE Transactions on Multimedia (1995)
Yin, P.-Y., Bhanu, B., Chang, K.-C., Dong, A.: Integrating Relevance Feedback Techniques for Image Retrieval Using Reinforcement Learning. IEEE Transactions on Pattern Analysis and Machine Intelligence 27(10), 1536–1551 (2005)
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Liu, Y., Chit, W.H. (2006). Interactive Multimedia System for Distance Learning of Higher Education. In: Pan, Z., Aylett, R., Diener, H., Jin, X., Göbel, S., Li, L. (eds) Technologies for E-Learning and Digital Entertainment. Edutainment 2006. Lecture Notes in Computer Science, vol 3942. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11736639_38
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DOI: https://doi.org/10.1007/11736639_38
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-33423-1
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