Abstract
Frame selection techniques based on semantic analysis are widely used to provide content-based summaries of video sequences. Video adaptation is also required to enable the consumption of these summaries through an increasing variety of devices and networks. Scalable video coding provides embedded coding of video where video adaptation is very simple and efficient. In this paper, we describe a model where both video summarization and adaptation are integrated within the MPEG-21 DIA framework, along with some use cases.
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Vetro, A.: MPEG-21 digital item adaptation: Enabling universal multimedia access. IEEE Multimedia 11, 84–87 (2004)
Ohm, J.R.: Advances in scalable video coding. Proceedings of the IEEE 93, 42–56 (2005)
Herranz, L.: Integrating semantic analysis and scalable video coding for efficient content-based adaptation. Multimedia Systems 13, 103–118 (2007)
Mukherjee, D., Delfosse, E., Kim, J.G., Wang, Y.: Optimal adaptation decision-taking for terminal and network quality-of-service. IEEE Transactions on Multimedia 7, 454–462 (2005)
Sprljan, N., Mrak, M., Abhayaratne, G.C.K., Izquierdo, E.: A scalable coding framework for efficient video adaptation. In: WIAMIS. Proc. Int. Work. on Image Analysis for Multimedia Interactive Services (2005)
Mundur, P., Rao, Y., Yesha, Y.: Keyframe-based video summarization using Delaunay clustering. International Journal of Digital Libraries 6, 219–232 (2006)
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© 2007 Springer-Verlag Berlin Heidelberg
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Herranz, L., Martínez, J.M. (2007). Use Cases of Scalable Video Based Summarization and Adaptation Within MPEG-21 DIA. In: Falcidieno, B., Spagnuolo, M., Avrithis, Y., Kompatsiaris, I., Buitelaar, P. (eds) Semantic Multimedia. SAMT 2007. Lecture Notes in Computer Science, vol 4816. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-77051-0_28
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DOI: https://doi.org/10.1007/978-3-540-77051-0_28
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-77033-6
Online ISBN: 978-3-540-77051-0
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