@incollection{spyrou_detection_2008,
	title = {Detection of {High}-{Level} {Concepts} in {Multimedia}},
	copyright = {©2008 Springer-Verlag},
	isbn = {978-0-387-74724-8 978-0-387-78414-4},
	url = {http://link.springer.com/referenceworkentry/10.1007/978-0-387-78414-4_16},
	abstract = {SynonymsHigh-level concept detection; Semantic concept detection; Image classification; Object recognitionDefinitionHigh-level concept detection is the process within which the high-level concepts or objects which are presented in a multimedia document are determined. For example, given an image, a detection scheme would reply that it contains concepts such as “sky,” “sand,” “sea,” the image depicts an “outdoor” and more specifically a “beach” scene. In some cases, the actual position of concepts within the image is also detected.IntroductionThe continuously growing volume of multimedia content has led many research efforts to high-level concept detection, since the semantics a document contains provide an effective and desirable annotation of its content. However, detecting the actual semantics within image and video documents remains still a challenging, yet unsolved problem. Its two main and most interesting aspects are the selection of the low-level f ...},
	language = {en},
	urldate = {2016-05-03},
	booktitle = {Encyclopedia of {Multimedia}},
	publisher = {Springer US},
	author = {Spyrou, Evaggelos and Avrithis, Yannis},
	editor = {Furht, Borko},
	year = {2008},
	note = {00003},
	pages = {151--158}
}

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