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

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

This ebook 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 awarded have been rigorously reviewed. The papers are prepared in topical sections on greedy multimedia streams; pinpointing track; adapting distances; knowing photos; 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

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Martínez, and Jesús Bescós Video Processing & Understanding Lab. 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.

5. ICSS Web Interface: a) Manager Interface. b) Client Preferences Interface. c) Client Interface. ICSS: A Service for Immediate Awareness of New Video Content 33 computers, making possible scalability to any number of users. Furthermore, the inclusion of new modules (or the improvement of existing ones) was taken into account during the system design, resulting easy to accomplish new application requirements. 7 Conclusions and Future Work The ICSS service is a multimedia service that enables instant on-line viewing of news items.

Here, each cell γ = (n, m) ∈ A encodes a correspondence between the feature vectors v n and wm . Furthermore, by ordering its elements lexicographically A takes the form of a sequence, i. , A = (γ1 , . . , γL ) with γ = (n , m ), ∈ [1 : L]. Additional constraints on the set ensure that only semantically meaningful alignments are permitted. We say that the set A is monotonic if n1 ≤ n2 ≤ . . ≤ nL and m1 ≤ m2 ≤ . . ≤ mL . Similarly, we say that A is strictly monotonic if n1 < n2 < . . < nL and m1 < m2 < .

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