AI-based Image and Video Coding

Methods, Standards, and Applications
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Éditeur :

Springer

Paru le : 2025-08-19

Unlocking the future of image and video coding with AI-based Image and Video Coding: Methods, Standards, and Applications, we can explore the revolutionary impact of deep learning technologies on image and video compression. This book is a must-read for researchers, practitioners, and students eager...
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À propos

Auteur

Éditeur

Collection
n.c

Parution
2025-08-19

Pages
345 pages

EAN papier
9789819677139

Auteur(s) du livre


Wei Gao is an Assistant Professor at the School of Electronic and Computer Engineering, Peking University, Shenzhen, China. He earned his Ph.D. in Computer Science from the City University of Hong Kong in February 2017. Dr. Gao's research focuses on multimedia coding, multimedia processing, and multimodal learning, areas directly relevant to the topics explored in this book. With over 160 high-quality technical papers published, Dr. Gao has contributed significantly to multimedia coding standardization, submitting more than 50 technical proposals. He is the author or co-author of two influential books, and is an elected member of the IEEE Visual Signal Processing and Communications Technical Committee (VSPC-TC), and APSIPA Image Video and Multimedia Technical Committee (IVM-TC). He serves on the editorial board of Elsevier Signal Processing, and has organized workshops at prominent conferences such as IEEE ICME and ACM MM. In addition to his academic achievements, Dr. Gao leads several open-source projects, including OpenAICoding, OpenPointCloud, and OpenDatasets, providing valuable resources for the research community. As a Senior Member of IEEE, he is also a frequent speaker at international conferences, where he shares his expertise on deep learning and multimedia technologies.

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EAN PDF
9789819677146
Prix
200,44 €
Nombre pages copiables
3
Nombre pages imprimables
34
Taille du fichier
15165 Ko
EAN EPUB
9789819677146
Prix
200,44 €
Nombre pages copiables
3
Nombre pages imprimables
34
Taille du fichier
23931 Ko

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