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This e-book constitutes the refereed complaints of the seventh foreign convention on Adaptive Multimedia Retrieval, AMR 2009, held in Madrid, Spain, in September 2009.The 12 revised complete papers and the invited contribution offered have been rigorously reviewed. The papers are equipped in topical sections on greedy multimedia streams; pinpointing track; adapting distances; realizing photographs; and round the user.
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Additional resources 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
Es 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 online 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.
Accuracy of the three speech recognizers in question answering scenario The evaluation result of the recognition rate is shown in Figure 6. All systems are performing over a 60% of correct words rate. Structured texts have been used for testing4. The results of the evaluation provide numeric figures for the recognition rate, but not any accuracy value of the comparison between both texts. This can be seen in the graphical user interface. If we compare transcriptions with the OT using the visual results box, we can see that all speech recognizers are quite accurate due to the type of text (structured text).
While these three approaches share similar algorithmic roots (dynamic programming) they produce fundamentally diﬀerent types of alignments. Intuitively, one may think of two extremes. On the one hand, DTW relies on strong model assumptions, but works reliably in the case that these assumptions are fulﬁlled. On the other hand, partial matching oﬀers a high degree of ﬂexibility, but may lead to alignments being locally misguided or split into many fragments. The SmithWaterman approach can be thought of being in between these two extremes.