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05/09/2023
Multiscale Augmented Normalizing Flows for Image Compression
Most learning-based image compression methods lack efficiency for high i...
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10/14/2022
On Benefits and Challenges of Conditional Interframe Video Coding in Light of Information Theory
The rise of variational autoencoders for image and video compression has...
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03/17/2022
A Novel End-To-End Network for Reconstruction of Non-Regularly Sampled Image Data Using Locally Fully Connected Layers
Quarter sampling and three-quarter sampling are novel sensor concepts th...
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03/11/2022
Video Coding for Machines with Feature-Based Rate-Distortion Optimization
Common state-of-the-art video codecs are optimized to deliver a low bitr...
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01/05/2022
Learning True Rate-Distortion-Optimization for End-To-End Image Compression
Even though rate-distortion optimization is a crucial part of traditiona...
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12/15/2021