Region-of-Interest Based Neural Video Compression

no code implementations • 3 Mar 2022 • Yura Perugachi-Diaz, Guillaume Sautière, Davide Abati, Yang Yang, Amirhossein Habibian, Taco S Cohen

To the best of our knowledge, our proposals are the first solutions that integrate ROI-based capabilities into neural video compression models.

Quantization Video Compression

Extending Neural P-frame Codecs for B-frame Coding

no code implementations • ICCV 2021 • Reza Pourreza, Taco S Cohen

Our results show that using the proposed method with an existing P-frame codec can lead to 28. 5%saving in bit-rate on the UVG dataset compared to the P-frame codec while generating the same video quality.

Progressive Neural Image Compression with Nested Quantization and Latent Ordering

no code implementations • 4 Feb 2021 • Yadong Lu, Yinhao Zhu, Yang Yang, Amir Said, Taco S Cohen

We present PLONQ, a progressive neural image compression scheme which pushes the boundary of variable bitrate compression by allowing quality scalable coding with a single bitstream.

Image Compression Quantization