By O'sullivan F., Roy S.
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Extra info for A statistical measure of tissue heterogeneity with application to 3D PET sarcoma data (2003)(en)(16s
Flickr) inspiring the detection and classiﬁcation of objects, people, and events from images. Early image processing was motivated by challenges, such as character recognition, face recognition, and robot guidance. Signiﬁcant interest has focused on imagery retrieval. For example, early applications, such as IBM Research Almaden’s Query by Image Content (QBIC), analyzed color, shape, and texture feature similarity and allowed users to query by example or by drawing, selecting, or other graphical means in a graphical query language (Flickner et al.
Accordingly, today, many commercial or open source information extraction solutions are available, such as Bolt Baranek and Neuman’s IdentiFinder™ (Cambridge, MA), IBM’s Unstructured Information Management Architecture (UIMA) (New York), Rocket Software’s Aerotext™ (Newton, MA), Inxight’s ThingFinder (Sunnyvale, CA), MetaCarta GeoTagger (Cambridge, MA), SRA’s NetOwl Extractor (Fairfax, VA), and others. 3 AUDIO EXTRACTION Just as information extraction from text remains important, so too there are vast audio sources from radio to broadcast news to audio lectures to meetings that require audio information extraction.
Groups apply a range of text and image processing methods, such as single or multilingual term frequency/inverse document frequency (TF/IDF), bag of words, and query expansion for text and color, shape, and texture processing. Results from the open source GIFT (GNU Image Finding Tool) and FIRE (Flexible Image Retrieval Engine) were made available to participants that did not have their own visual system retrieval engine. The results of methods on textual topics achieved as high as about 40% MAP, whereas the best methods on visual topics fared about 24%, suggesting the value of both better language processing as well as the importance of visual processing.
A statistical measure of tissue heterogeneity with application to 3D PET sarcoma data (2003)(en)(16s by O'sullivan F., Roy S.