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.

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Product Description

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.

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Product Details

General

Imprint

Springer Verlag, Singapore

Country of origin

Singapore

Series

Studies in Big Data, 82

Release date

2022

Availability

Supplier out of stock. If you add this item to your wish list we will let you know when it becomes available.

First published

2021

Editors

,

Dimensions

235 x 155mm (L x W)

Format

Paperback

Pages

335

Edition

1st ed. 2021

ISBN-13

978-981-15-9494-6

Barcode

9789811594946

Categories

LSN

981-15-9494-5



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