Abstract
Similar contents, duplicates, and segments of videos abound in social media networks. However, querying and aggregating all these data with high quality and personalized demand present increasingly formidable challenges. In the paper, we propose a novel framework for automatically aggregating semantically similar and contextual videos in social media network, which called CLUENET. We use a proactive method to collect and integrate all-around valuable clues centered a video to improve the quality of aggregation; By use of these clues the CLUENET constructs a clues network for video aggregation which extract sequences and similar contents of videos, and uses dynamic Petri net (DPN) to steer video aggregation and data prefetching for adapted to different user’s personalized demand. The main features of this framework and how it was implemented using state-of-the-art technologies are also introduced.
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References
Murthy, D., Zhang, A.: Webview: A Multimedia Database Resource Integration and Search System over Web. In: WebNet: World Conference of the WWW, Internet and Intranet (1997)
Cao, J., Zhang, Y.D., et al.: VideoMap: An Interactive Video Retrieval System of MCG-ICT-CAS. In: CIVR (July 2009)
Sprott, D., Wilkes, L.: Understanding Service Oriented Architecture. Microsoft Architecture Journal (1) (2004)
Sakkopoulos, E., et al.: Semantic mining and web service discovery techniques for media resources management. Int. J. Metadata, Semantics and Ontologies 1(1) (2006)
Agrawal, R., Srikant, R.: Mining sequential pattern. In: Proc. of the 11th International Conference on Data Engineering, Taipei (1995)
Bianchini, M., Gori, M., Scarselli, F.: Inside PageRank. ACM Transactions on Internet Technology 5(1) (2005)
Dongwon, L., Hung-sik, K., Eun Kyung, K., et al.: LeeDeo: Web-Crawled Academic Video Search Engine. In: Tenth IEEE International Symposium on Multimedia (2008)
Crescenzi, V., Mecca, G., Merialdo, P.: RoadRunner: Towards automatic data extraction from large web wites. In: VLDB (2001)
Wu, X., Hauptmann, A.G., Ngo, C.W.: Practical elimination of near-duplicates from web video search. In: ACM Multimedia, MM 2007 (2007)
Amer-Yahia, S., Lakshmanan, L., Yu, C.: SocialScope: Enabling Information Discovery on Social Content Sites. In: CIDR (2009)
Tan, R., Guan, S.U.: A dynamic Petri net model for iterative and interactive distributed multimedia presentation. IEEE Transactions on MultiMedia 7(5), 869–879 (2005)
Massimo, M.: A basis for information retrieval in context. ACM Transactions on Information Systems (TOIS) 26(3) (June 2008)
Bulterman, D.C.A., Rutledge, L.R.: SMIL 3.0: Interactive Multimedia for the Web. In: Mobile Devices and Daisy Talking Books. Springer, Heidelberg (2008)
Pellan, B., Concolato, C.: Authoring of scalable multimedia documents. Multimedia Tools and Applications 43(3) (2009)
Yang, C.C., Chan, K.Y.: Retrieving Multimedia Web Objects Based on PageRank Algorithm. In: WWW, May 10-14 (2005)
Cha, M., Kwak, H., et al.: I tube, you tube, everybody tubes: analyzing the world’s largest user generated content video system. In: IMC 2007. ACM, New York (2007)
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Liao, Z., Yang, J., Fu, C., Zhang, G. (2011). CLUENET: Enabling Automatic Video Aggregation in Social Media Networks. In: Lee, KT., Tsai, WH., Liao, HY.M., Chen, T., Hsieh, JW., Tseng, CC. (eds) Advances in Multimedia Modeling. MMM 2011. Lecture Notes in Computer Science, vol 6524. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-17829-0_26
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DOI: https://doi.org/10.1007/978-3-642-17829-0_26
Publisher Name: Springer, Berlin, Heidelberg
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