Download Adaptive Multimedia Retrieval: Retrieval, User, and by Josip Krapac, Frédéric Jurie (auth.), Nozha Boujemaa, Marcin PDF

By Josip Krapac, Frédéric Jurie (auth.), Nozha Boujemaa, Marcin Detyniecki, Andreas Nürnberger (eds.)

This ebook constitutes the completely refereed post-workshop court cases of the fifth overseas Workshop on Adaptive Multimedia Retrieval, AMR 2007, held in Paris, France, in July 2007.

The 18 revised complete papers offered including 2 invited papers have been rigorously chosen in the course of rounds of reviewing and development. The papers are equipped in topical sections on picture annotation, suggestions and person modelling, song retrieval, fusion, P2P and middleware, databases and summarization, in addition to ontology and semantics.

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Extra resources for Adaptive Multimedia Retrieval: Retrieval, User, and Semantics: 5th International Workshop, AMR 2007, Paris, France, July 5-6, 2007 Revised Selected Papers

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There is no immediately obvious reason why undecidability should be a negative thing. On the one hand, it doesn’t seem to generate any problem that, on a pragmatic plane, can’t be solved by a good heuristics and common sense. On the other hand, at least for semantic web applications, undecidability seems to resonate with the general web attitude (a very positive one) of seeing imprecision and messiness as a positive fact of life: something to be welcomed as a source of expressive richness, not to be avoided as a source of potential problems4.

Let us consider the first option first. ]. Correspondingly, informational semantics denies that the concept DOG has its content in virtue of its position in a network of conceptual relations The “correspondingly” here does a lot of work, and requires a fairly important metaphysical investment since it maps conceptual structures to linguistic ones. This, passim, is the same investment that ontology requires when it takes a linguistic structure (composed of words and relations) and calls it a conceptual model.

4 c Fig. 9. Precision and recall levels varying the correlation threshold c (P T = 10) Imagination: Exploiting Link Analysis for Accurate Image Annotation 43 (terms) with not-so-high affinity with the query grows as well. In turn, this suggests that P T and c are tightly related. To justify this claim, we considered a high P T value, P T = 10, and changed the correlation threshold. Figure 9 shows precision and recall curves we obtained. 3 is quite lower than that observed in Figure 7, in which P T = 6.

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