☆ 4.7 Article

End-to-End Rate-Distortion Optimized Learned Hierarchical Bi-Directional Video Compression

IEEE TRANSACTIONS ON IMAGE PROCESSING (2022)

Nonlinear Transform Coding

Johannes Balle et al.

Summary: Research indicates that nonlinear transform coding (NTC) is competitive with linear transform codecs for images and outperforms them in terms of perceptual quality metrics. Researchers evaluated the empirical rate-distortion performance of NTC using simple example sources and introduced a novel variant of vector quantization.

IEEE JOURNAL OF SELECTED TOPICS IN SIGNAL PROCESSING (2021)

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Article Engineering, Electrical & Electronic

Learning for Video Compression With Recurrent Auto-Encoder and Recurrent Probability Model

Ren Yang et al.

Summary: This paper introduces a Recurrent Learned Video Compression (RLVC) approach with Recurrent Auto-Encoder (RAE) and Recurrent Probability Model (RPM) to better utilize the temporal correlation among video frames, achieving state-of-the-art compression performance.

IEEE JOURNAL OF SELECTED TOPICS IN SIGNAL PROCESSING (2021)

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Proceedings Paper Computer Science, Information Systems