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.)

ISBN-10: 3642184480

ISBN-13: 9783642184482

This e-book constitutes the refereed lawsuits 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 provided have been rigorously reviewed. The papers are equipped in topical sections on greedy multimedia streams; pinpointing tune; 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

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The voice recognizers used for the experiments are IBM ViaVoice [3], Dragon Naturally Speaking [8] and Sail Labs' Media Mining Indexer (MMI) [6]. They are all commercial voice recognizers, and our aim was to compare them in order to choose the most appropriate one to accomplish tasks for other projects. 5 is a commercial speech recognizer that needs previous training by the user. It supports MS operating systems and incorporates keyboard shortcuts, specialized themes and the possibility of adding vocabulary.

Improving the comparison algorithm to manage continuous text (unstructured-text) or at least structured long texts. The use of punctuation marks could be useful for both the alignment and the comparison algorithm. Polishing the alignment algorithm, since increasing the accuracy of aligned texts, the comparison results will improve noticeably. Also, we must solve the problem of alignment for plain texts without temporal marks. Improving the ‘Complementary Matching’ algorithm to develop an automatic way to obtain the optimum values for the algorithm.

In addition to some meaningful MPEG compressed domain information that might result useful for further analysis (DC images, AC coefficients and motion vectors) the set of features extracted by this module include video shot boundaries, a parametric characterization of the global motion field and a series of segmentation masks indicating moving objects and text captions. Regarding shot detection, numerous proposals have shown to achieve a great level of accuracy in case of abrupt shot changes, yet gradual transitions are still an important challenge in this area; [12] includes a broad state-of-the-art review on this topic.

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