Machine Learning for Intelligent Multimedia Analytics - Techniques and Applications (Paperback, 1st ed. 2021)

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.

General

Imprint:	Springer Verlag, Singapore
Country of origin:	Singapore
Series:	Studies in Big Data, 82
Release date:	2022
First published:	2021
Editors:	Pardeep Kumar • Amit Kumar Singh
Dimensions:	235 x 155mm (L x W)
Format:	Paperback
Pages:	335
Edition:	1st ed. 2021
ISBN-13:	978-981-15-9494-6
Categories:	Books > Computing & IT > Computer software packages > Multimedia Books > Computing & IT > Applications of computing > Artificial intelligence > Machine learning
LSN:	981-15-9494-5
Barcode:	9789811594946

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