Adaptive Multimedia Retrieval. Understanding Media and by Stephane Marchand-Maillet, Donn Morrison, Eniko Szekely,

By Stephane Marchand-Maillet, Donn Morrison, Eniko Szekely, Jana Kludas, Marc Vonwyl (auth.), Marcin Detyniecki, Ana García-Serrano, Andreas Nürnberger (eds.)

This booklet constitutes the refereed court cases of the seventh overseas convention on Adaptive Multimedia Retrieval, AMR 2009, held in Madrid, Spain, in September 2009.The 12 revised complete papers and the invited contribution awarded have been rigorously reviewed. The papers are equipped in topical sections on greedy multimedia streams; pinpointing song; adapting distances; knowing photographs; and round the user.

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Additional info for Adaptive Multimedia Retrieval. Understanding Media and Adapting to the User: 7th International Workshop, AMR 2009, Madrid, Spain, September 24-25, 2009, Revised Selected Papers

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T2) analyze ICSS ICSS Manager Manager (t1) upload Content provider IVOnLA IVOnLA (t3) ready (t5) pull (t4) summarize (t2) new content (t8) stream (t7) ready (t8) deliver (t6) adapt CAIN-21 CAIN-21 (t5) ready (t8) pull RTS RTS End user ICSS Client ICSS Server Fig. 1. Overview and functional decomposition of the ICSS System The ICSS System can be roughly divided into the ICSS Client and the ICSS Server. The term ICSS Client refers to the set of web pages that the content providers and the end users operate in order to get access to the ICSS Server functionalities.

Based on this idea partial matching computes a scoremaximizing optimal match. Again, this can be achieved efficiently using dynamic programming. See Fig. 2f for an example of an optimal match computed via partial matching based on the matrix shown in Fig. 2c. Here, the misalignment of the solo segments A(75, 83) and M(99, 107) as found in the Smith-Waterman case is not present. So partial matching, not enforcing any step-size or continuity conditions on the alignment, yields a more flexible alignment than the Smith-Waterman approach.

The TRECVID 2008 BBC rushes summarization evaluation. In: Proc. of ACM Multimedia 2008 (2nd ACM TRECVid Video Summarization Workshop), pp. 1–20 (2008) 12. : Video Shot Detection and Condensed Representation. IEEE Signal Processing Magazine 23(2), 28–37 (2006) 13. tw/~cjlin/libsvm 14. : 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) 15. : Robust motion characterisation for video indexing based on mpeg2 optical flow.

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