Open AccessImproving Audiovisual Content Annotation Through a Semi-automated Process Based on Deep Learning
Author(s) -
Luís Vilaça,
Paula Viana,
Pedro Carvalho,
Maria Teresa Andrade
Publication year - 2019
Publication title -
advances in intelligent systems and computing
Language(s) - English
Resource type - Book series
eISSN - 2194-5357
pISSN - 2194-5365
DOI - 10.1007/978-3-030-17065-3_7
Subject(s) - computer science , annotation , artificial intelligence , process (computing) , upload , machine learning , identification (biology) , deep learning , feature extraction , automatic image annotation , pattern recognition (psychology) , image (mathematics) , image retrieval , world wide web , botany , biology , operating system
Over the last years, Deep Learning has become one of the most popular research fields of Artificial Intelligence. Several approaches have been developed to address conventional challenges of AI. In computer vision, these methods provide the means to solve tasks like image classification, object identification and extraction of features.
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