A slimmable framework for practical neural video compression

• Published in: Neurocomputing (Amsterdam) Vol. 610; p. 128525
• Main Authors: Liu, Zhaocheng, Yang, Fei, Wang, Defa, Górriz Blanch, Marc, Murn, Luka, Wan, Shuai, Zhang, Saiping, Mrak, Marta, Herranz, Luis
• Format: Journal Article
• Language: English
• Published: Elsevier B.V 28.12.2024
• Subjects: Deep learning; Feature modulation; Neural video compression; Slimmable codec; Slimmable network; Variable rate; Deep learning; Feature modulation; Slimmable codec; Slimmable network; Variable rate; Neural video compression

Deep learning is being increasingly applied to image and video compression in a new paradigm known as neural video compression. While achieving impressive rate–distortion (RD) performance, neural video codecs (NVC) require heavy neural networks, which in turn have large memory and computational cost...