Ai Techniques for Multimedia Data Processing - Couverture souple

Couverture souple

ISBN 13 : 9798369344774

Editeur : Engineering Science Reference, 2025

Synopsis

Embark on an exploration of the challenges posed by the convergence of artificial intelligence (AI) and multimedia data processing. In the landscape of technology, the relationship between AI and multimedia unfolds with unprecedented innovation, accompanied by formidable ethical concerns and data management complexities. As society immerses itself in the digital age, marked by a flood of multimedia content, the urgent need to grapple with these multifaceted issues becomes apparent. This transformative journey into the heart of contemporary technological challenges is guided by the insights within. The book, AI Techniques for Multimedia Data Processing, serves as an indispensable resource, unraveling the layers of complexity within the symbiotic relationship between AI and multimedia. Within the pages of AI Techniques for Multimedia Data Processing, readers will find a comprehensive exploration that goes beyond theoretical discussions, delving into the practical applications and implications of AI in multimedia processing. This transformative journey navigates the terrain where ethical concerns meet practical applications, providing a profound understanding of how AI reshapes our interaction with multimedia content. As the chapters unfold, addressing challenges from video compression and streaming to multimedia recognition, segmentation, and content classification, readers are equipped with the knowledge needed to responsibly harness the transformative potential of AI in the realm of multimedia data processing.

A propos du livre

À propos de l?auteur

Mohamed Hammad received his Ph.D. degree in 2019, at the School of Computer Science and Technology, Harbin Institute of Technology, Harbin, China. He is an associate professor in the Faculty of Computers and Information, Menoufia University, Egypt. He is currently a researcher in the EIAS Data Science Lab, College of Computer and Information Sciences, Prince Sultan University. He is an ACM Professional Member. His research interests include Biomedical Imaging, Bioinformatics, Cyber Security, IoT, Computer Vision, Machine Learning, Deep Learning, Pattern Recognition, and Biometrics. He has published more than 50 papers in international SCI-IF journals and edited five books. Furthermore, he has served as an Editor Board member in BMC Bioinformatics journal, Editor-in-Chief of Journal of Computational Optimization and Reasoning, an Associate Editor in IJISP, a Topics Board editor in Forensic Sciences (MPDI) journal, a guest editor in many international journals such as IJDCF, World Journal of Methodology, Sensors (MDPI) and Information (MDPI). Reviewer of more than 500 papers for many prestigious journals and listed in the top 2% of scientists worldwide (According to the recently released list by Stanford University USA in 2022, 2023 and 2024).

Détails de l'édition

• Éditeur: Engineering Science Reference
• Date d'édition: 2025
• Langue: anglais
• ISBN 13: 9798369344774
• Reliure: Broché
• Nombre de pages: 324
• Éditeur: A. Abd El-Latif Ahmed, Wani Mudasir Ahmad, Hammad Mohamed, Belazi Akram, Sambas Aceng
• Coordonnées du fabricant: non disponible
• Personne responsable: non disponible