Adaptive Multimedia Retrieval: Semantics, Context, and - download pdf or read online

By Andreas Nürnberger, Sebastian Stober, Birger Larsen, Marcin Detyniecki (eds.)

ISBN-10: 3319120921

ISBN-13: 9783319120928

ISBN-10: 331912093X

ISBN-13: 9783319120935

This ebook constitutes the completely refereed post-conference complaints of the tenth foreign convention on Adaptive Multimedia Retrieval, AMR 2012, held in Copenhagen, Denmark, in October 2012.

The 17 revised complete papers offered have been rigorously reviewed and chosen from various submissions. The papers disguise issues of cutting-edge contributions, beneficial properties and class, situation context, language and semantics, track retrieval, and adaption and HCI.

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Extra resources for Adaptive Multimedia Retrieval: Semantics, Context, and Adaptation: 10th International Workshop, AMR 2012, Copenhagen, Denmark, October 24-25, 2012, Revised Selected Papers

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Mach. Learn. 65(2–3), 473–484 (2006) 39. : Algorithms for classifying recorded music by genre. Master’s thesis, Universit´e de Montr´eal, Montr´eal, Canada, Aug 2006 40. : Predicting genre labels for artist using FreeDB. In: Proceedings of the ISMIR, pp. 85–88 (2006) 41. : Scalable genre and tag prediction with spectral covariance. In: Proceedings of the ISMIR (2010) 42. : Clustering beat-chroma patterns in a large music database. In: Proceedings of the ISMIR, Utrecht, Netherlands, Aug 2010 43.

Figure 2 shows how the number of works having an experimental component is distributed over the years. Compared to Fig. 1, the remaining works are reviews, or primarily concerning evaluation. 1 Experimental Design Table 1 describes the ten different experimental designs we find, along with their appearance in the literature. We see that the most common experimental design to test MGR systems is Classify. More than 91 % (397)1 of the referenced work having an experimental component (435) uses such a design [1–9, 11–21, 26–43, 45,47–50,52–56,58–60,62–65,68–70,72–76,79–83,86–90,92–99,102–106,108–122, 124–135, 137–148, 150, 151, 153–165, 167–172, 174–180, 182–197, 199–202, 204–217, 219–223, 225–232, 234, 235, 238–240, 242–261, 263–269, 271–281, 283–287, 289–301, 303, 305–307, 309–313, 317, 319–333, 335–349, 352–359, 361–364, 366–372, 375–383, 385–393,395–397,399,401–403,405–407,409–412,414,416,418–422,424–433,435– 440,443–445,447,448,450–465,467].

The dataset created by Tzanetakis and Cook for [426], however, is the first “benchmark” MGR dataset to have been made publicly available, and as a result continues to be the most used public dataset for MGR. In our analysis, we do not include [474–479] as they are written in Turkish, and [472] as it is written in German, and we can read neither. We could not 70 70 59 60 50 40 34 33 27 30 19 20 12 11 20 10 20 09 08 Fig. 1. Annual numbers of publications in this survey. 20 20 07 06 20 20 05 20 04 20 03 20 02 20 01 7 11 20 00 4 20 99 2 20 98 5 19 97 96 1 19 95 0 19 1 19 10 0 50 45 44 19 Publications 52 A Survey of Evaluation in Music Genre Recognition with statistics without statistics 70 31 66 60 49 41 40 32 30 20 18 12 11 20 10 6 20 09 13 11 20 08 9 20 07 7 20 06 20 05 3 20 03 02 04 1 1 6 20 8 20 20 01 00 6 1 20 4 2 20 21 99 98 11 19 97 96 1 19 95 19 0 19 1 4 1 19 10 0 47 38 30 27 20 Publications 55 50 Fig.

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Adaptive Multimedia Retrieval: Semantics, Context, and Adaptation: 10th International Workshop, AMR 2012, Copenhagen, Denmark, October 24-25, 2012, Revised Selected Papers by Andreas Nürnberger, Sebastian Stober, Birger Larsen, Marcin Detyniecki (eds.)


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