Abstract
This paper presents the Instant Customized Summaries Streaming service, a multimedia service able to deliver customized video summaries with a minimum delay after the original content has been uploaded to a video repository. Uploaded videos start being analyzed, via on-line real-time algorithms. As analysis results are available, video summaries are then generated also in an on-line scheme, adapted to different available terminal and finally streamed to the subscribed clients. The whole chain works in on-line mode so all the processes can be simultaneously executed without waiting for any of them to have finished its operation. A prototype of this service, accessible via a web interface, has been fully implemented.
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References
De Bruyne, S., De Schrijver, D., De Neve, W., Van Deursen, D., Van de Walle, R.: Enhanced shot-based video adaptation using MPEG-21 generic bitstream syntax schema. In: Proc. of IEEE Symposium on Computational Intelligence in Image and Signal Processing, CIISP 2007, pp. 380–385 (2007)
Chang, S.F., Vetro, A.: Video adaptation: Concepts, technologies, and open issues. Proceedings of the IEEE 93(1), 148–158 (2005)
Kim, S., Yoon, Y.: Universal video adaptation model for contents delivery using focus-of-choice model. In: Proc. of Second International Conference on Future Generation Communication and Networking, FGCN 2008, vol. 1, pp. 46–49 (2008)
López, F., Martínez, J.M., García, N.: CAIN-21: An extensible and metadata-driven multimedia adaptation engine in the MPEG-21 framework. In: Chua, T.-S., Kompatsiaris, Y., Mérialdo, B., Haas, W., Thallinger, G., Bailer, W. (eds.) SAMT 2009. LNCS, vol. 5887, pp. 114–125. Springer, Heidelberg (2009)
ISO/IEC 21000-2:2004, Information technology - Multimedia framework (MPEG-21) - Part 2: Digital Item Declaration (2004)
ISO/IEC 15938-5:2003, Information technology - Multimedia content description interface - Part 5: Multimedia description schemes (2003)
Hauptmann, A., Yan, R., Lin, W.-H.: How many high-level concepts will fill the semantic gap in news video retrieval? In: Proc. of the 6th ACM International Conference on Image and Video Retrieval, CIVR 2007, pp. 627–634 (2007)
Valdés, V., Martínez, J.M.: Binary tree based on-line video summarization. In: Proc. of ACM Multimedia 2008 (2nd ACM TRECVid Video Summarization Workshop), pp. 134–138 (2008)
Valdés, V., Martínez, J.M.: On-line Video Skimming Based on Histogram similarity. In: Proc. of ACM Multimedia 2007 (1st ACM TRECVid Video Summarization Workshop), pp. 94–98 (2007)
Over, P., Smeaton, A.F., Awad, G.: The TRECVID 2008 BBC rushes summarization evaluation. In: Proc. of ACM Multimedia 2008 (2nd ACM TRECVid Video Summarization Workshop), pp. 1–20 (2008)
Cotsaces, C., Nikolaidis, N., Pitas, I.: Video Shot Detection and Condensed Representation. IEEE Signal Processing Magazine 23(2), 28–37 (2006)
Chang, C.-C., Lin, C.-J.: LIBSVM: a library for support vector machines (2001), Software available at http://www.csie.ntu.edu.tw/~cjlin/libsvm
Bescós, J.: Real-time Shot Change Detection over On-line MPEG-2 Video. IEEE Tr. On Circuits and Systems for Video Technology 14(4), 475–484 (2004)
Durik, M., Benois-Pineau, J.: Robust motion characterisation for video indexing based on mpeg2 optical flow. In: Proc. of International Workshop on Content-Based Multimedia Indexing, CBMI 2001, pp. 57–64 (2001)
Yu, T., Zhang, Y.: Retrieval of Video Clips using global motion information. Electronic Letters 37(14), 893–895 (2001)
Zhu, X., Elmagarmid, A.K., Xue, X., Wu, L., Catlin, A.C.: InsightVideo: Towards hierarchical video content organization for efficient browsing, summarization and retrieval. IEEE Trans. on Multimedia 7(4), 648–666 (2005)
Mezaris, V., Kompatsiaris, I., Boulgouris, N., Strintzis, M.: Real-Time Compressed-Domain Spatio-temporal Segmentation and Ontologies for Video Indexing and Retrieval. IEEE Tr. On Circuits and Systems for Video Technology 14(5), 606–621 (2004)
Venkatesh Babu, R., Ramakrishnan, K., Srinivasan, S.: Video Object Segmentation: A Compressed Domain Approach. IEEE Tr. On Circuits and Systems for Video Technology 14(4), 462–474 (2004)
Wang, Z., Liu, G., Liu, L.: A fast and accurate video object detection and segmentation method in the compressed domain. In: Proc. of the 2003 International Conference on Neural Networks and Signal Processing, vol. 2, pp. 1209–1212 (2003)
Escudero, M., Tiburzi, F., Bescos, J.: Mpeg video object segmentation under camera motion and multimodal backgrounds. In: Proc of. IEEE International Conference on Image Processing, ICIP 2008, pp. 2668–2671 (2008)
Márquez, D., Bescós, J.: A Model-Based Iterative Method for Caption Extraction in Compressed MPEG Video. In: Falcidieno, B., Spagnuolo, M., Avrithis, Y., Kompatsiaris, I., Buitelaar, P. (eds.) SAMT 2007. LNCS, vol. 4816, pp. 91–94. Springer, Heidelberg (2007)
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García-Martín, Á. et al. (2011). Instant Customized Summaries Streaming: A Service for Immediate Awareness of New Video Content. In: Detyniecki, M., García-Serrano, A., Nürnberger, A. (eds) Adaptive Multimedia Retrieval. Understanding Media and Adapting to the User. AMR 2009. Lecture Notes in Computer Science, vol 6535. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-18449-9_3
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DOI: https://doi.org/10.1007/978-3-642-18449-9_3
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