June 2015
Beginner
304 pages
8h 58m
English
Content preview from Multimedia Ontology
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146 Multimedia Ontology: Representation and Applications
Parser and given as input to this module. Low-level media features (SIFT
features, Spatio-temporal interest points, MFCC features, etc.) are extracted
from the digital artifacts, which can be in different formats (image, audio,
video), and provided to the Concept Recognizer by Media Feature Ex trac-
tor. Media Pattern Classifiers, trained by feature vectors extracted from the
training set of multimedia data, help detect the media patterns (color, shapes,
texture, objects, postures, audio, etc.) in the digital artifacts. In initial stages
of building the ontology, data is labeled with the help
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