Parallelized Rate-Distortion Optimized Quantization Using Deep Learning

Dana Kianfar, Auke Wiggers, Amir Said, Reza Pourreza, Taco Cohen. Parallelized Rate-Distortion Optimized Quantization Using Deep Learning. In 22nd IEEE International Workshop on Multimedia Signal Processing, MMSP 2020, Tampere, Finland, September 21-24, 2020. pages 1-6, IEEE, 2020. [doi]

@inproceedings{KianfarWSPC20,
  title = {Parallelized Rate-Distortion Optimized Quantization Using Deep Learning},
  author = {Dana Kianfar and Auke Wiggers and Amir Said and Reza Pourreza and Taco Cohen},
  year = {2020},
  doi = {10.1109/MMSP48831.2020.9287135},
  url = {https://doi.org/10.1109/MMSP48831.2020.9287135},
  researchr = {https://researchr.org/publication/KianfarWSPC20},
  cites = {0},
  citedby = {0},
  pages = {1-6},
  booktitle = {22nd IEEE International Workshop on Multimedia Signal Processing, MMSP 2020, Tampere, Finland, September 21-24, 2020},
  publisher = {IEEE},
  isbn = {978-1-7281-9320-5},
}