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- W1549974889 abstract "This chapter demonstrates how different reasoning algorithms can be applied in multimedia analysis. Extracting semantics from images and videos has proved to be a very difficult task. On the other hand, artificial intelligence has made significant progress in the area of knowledge technologies. The chapter introduces the fuzzy extension of the expressive DL language SHIN, f-SHIN, together with the fuzzy reasoning engine, FiRE. The chapter presents a model that uses explicitly represented knowledge about the typical spatial arrangements of objects, so-called spatial constraint templates, which are acquired from labeled examples. Fuzzy constraint reasoning is used to represent the problem and to find a solution that provides an optimal labeling with respect to low-level features and the spatial. The chapter also presents the NEST expert system, which is used for estimation of image regions dissimilarity. Finally, the chapter presents an approach for reasoning over resources complementary to audiovisual streams using FiRE. Controlled Vocabulary Terms fuzzy reasoning; multimedia systems" @default.
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- W1549974889 date "2011-08-08" @default.
- W1549974889 modified "2023-09-23" @default.
- W1549974889 title "Reasoning for Multimedia Analysis" @default.
- W1549974889 doi "https://doi.org/10.1002/9781119970231.ch11" @default.
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