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Deep learning for multimedia processing applications /

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Deep learning for multimedia processing applications // edited by Uzair Aslam Bhatti ... [et al.].
其他作者:	Bhatti, Uzair Aslam,
出版者:	Boca Raton :CRC Press, : c2024.,
面頁冊數:	2 v. :ill. (some col.) ; : 26 cm.;
標題:	Multimedia systems. -
ISBN:	9781032665856 (set : order) :

Deep learning for multimedia processing applications /
Deep learning for multimedia processing applications /edited by Uzair Aslam Bhatti ... [et al.]. - 1st ed. - Boca Raton :CRC Press,c2024. - 2 v. :ill. (some col.) ;26 cm.

Includes bibliographical references and indexes.

v. 1. Image security and intelligent systems for multimedia processing -- v. 2. Signal processing and pattern recognition.

"Deep Learning for Multimedia Processing is a comprehensive guide that explores the revolutionary impact of deep learning techniques in the field of multimedia processing. Written for a wide range of readers, from students to professionals, this book offers a concise and accessible overview of the application of deep learning in various multimedia domains, including image processing, video analysis, audio recognition, and natural language processing. Divided into two volumes, Volume One begins by introducing the fundamental concepts of deep learning, providing readers with a solid foundation to understand its relevance in multimedia processing.Readers will discover how deep learning techniques enable accurate and efficient image recognition, object detection, semantic segmentation, and image synthesis. The book also covers video analysis techniques, including action recognition, video captioning, and video generation, highlighting the role of deep learning in extracting meaningful information from videos. Furthermore, the book explores audio processing tasks such as speech recognition, music classification, and sound event detection using deep learning models. It demonstrates how deep learning algorithms can effectively process audio data, opening up new possibilities in multimedia applications. Lastly, the book explores the integration of deep learning with natural language processing techniques, enabling systems to understand, generate, and interpret textual information in multimedia contexts. Throughout the book, practical examples, code snippets, and real-world case studies are provided to help readers gain hands-on experience in implementing deep learning solutions for multimedia processing. Deep Learning for Multimedia Processing is an essential resource for anyone interested in harnessing the power of deep learning to unlock the vast potential of multimedia data"--

ISBN: 9781032665856 (set : order) :NT6707

LCCN: 2023034276Subjects--Topical Terms:

555364
Multimedia systems.

LC Class. No.: QA76.575 / .D4335 2024

Dewey Class. No.: 006.3/1

Deep learning for multimedia processing applications /
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245 0 0 $a Deep learning for multimedia processing applications / $c edited by Uzair Aslam Bhatti ... [et al.].
250 $a 1st ed.
260 # $a Boca Raton : $b CRC Press, $c c2024.
300 $a 2 v. : $b ill. (some col.) ; $c 26 cm.
504 $a Includes bibliographical references and indexes.
505 0 # $a v. 1. Image security and intelligent systems for multimedia processing -- v. 2. Signal processing and pattern recognition.
520 # $a "Deep Learning for Multimedia Processing is a comprehensive guide that explores the revolutionary impact of deep learning techniques in the field of multimedia processing. Written for a wide range of readers, from students to professionals, this book offers a concise and accessible overview of the application of deep learning in various multimedia domains, including image processing, video analysis, audio recognition, and natural language processing. Divided into two volumes, Volume One begins by introducing the fundamental concepts of deep learning, providing readers with a solid foundation to understand its relevance in multimedia processing.Readers will discover how deep learning techniques enable accurate and efficient image recognition, object detection, semantic segmentation, and image synthesis. The book also covers video analysis techniques, including action recognition, video captioning, and video generation, highlighting the role of deep learning in extracting meaningful information from videos. Furthermore, the book explores audio processing tasks such as speech recognition, music classification, and sound event detection using deep learning models. It demonstrates how deep learning algorithms can effectively process audio data, opening up new possibilities in multimedia applications. Lastly, the book explores the integration of deep learning with natural language processing techniques, enabling systems to understand, generate, and interpret textual information in multimedia contexts. Throughout the book, practical examples, code snippets, and real-world case studies are provided to help readers gain hands-on experience in implementing deep learning solutions for multimedia processing. Deep Learning for Multimedia Processing is an essential resource for anyone interested in harnessing the power of deep learning to unlock the vast potential of multimedia data"-- $c Provided by publisher.
650 # 0 $a Multimedia systems. $3 555364
650 # 0 $a Deep learning (Machine learning) $3 1381171
650 # 0 $a Digital video. $3 557795
700 1 # $a Bhatti, Uzair Aslam, $d 1986- $3 1450899
740 0 2 $a Image security and intelligent systems for multimedia processing.
740 0 2 $a Signal processing and pattern recognition.