Search Results for author: Taco S Cohen

Found 3 papers, 0 papers with code

Region-of-Interest Based Neural Video Compression

no code implementations3 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 implementations4 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

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