Machine Learning for Intelligent Multimedia Analytics
Techniques and Applications
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Beschreibung
This book presents applications of machine learning techniques in processing multimedia large-scale data. Multimedia such as text, image, audio, video, and graphics stands as one of the most demanding and exciting aspects of the information era. The book discusses new challenges faced by researchers in dealing with these large-scale data and also presents innovative solutions to address several potential research problems, e.g., enabling comprehensive visual classification to fill the semantic gap by exploring large-scale data, offering a promising frontier for detailed multimedia understanding, as well as extract patterns and making effective decisions by analyzing the large collection of data.
This book presents applications of machine learning techniques in processing multimedia large-scale data. Multimedia such as text, image, audio, video, and graphics stands as one of the most demanding and exciting aspects of the information era. The book discusses new challenges faced by researchers in dealing with these large-scale data and also presents innovative solutions to address several potential research problems, e.g., enabling comprehensive visual classification to fill the semantic gap by exploring large-scale data, offering a promising frontier for detailed multimedia understanding, as well as extract patterns and making effective decisions by analyzing the large collection of data.
Presents applications of machine learning techniques in processing multimedia large-scale data Discusses new challenges faced by researchers in dealing with multimedia data Provides innovative solutions to address several potential research problems
Autor*in
Pardeep Kumar
Themen in »Machine Learning for Intelligent Multimedia Analytics«
Multimedia Analytics Big Data IoT Healthcare Urban Computing Digital Forensics Security and Privacy Machine Intelligence