no code implementations • 5 Sep 2023 • Haisheng Fu, Feng Liang, Jie Liang, Yongqiang Wang, Guohe Zhang, Jingning Han
Then we only encode non-zero channels in the encoding and decoding process, which can greatly reduce the encoding and decoding time.
no code implementations • 12 May 2023 • Binglin Li, Jie Liang, Haisheng Fu, Jingning Han
Encoding the Region Of Interest (ROI) with better quality than the background has many applications including video conferencing systems, video surveillance and object-oriented vision tasks.
no code implementations • 25 Oct 2022 • Lyndon R. Duong, Bohan Li, Cheng Chen, Jingning Han
Contemporary lossy image and video coding standards rely on transform coding, the process through which pixels are mapped to an alternative representation to facilitate efficient data compression.
no code implementations • 21 Jun 2022 • Haisheng Fu, Feng Liang, Jie Liang, Binglin Li, Guohe Zhang, Jingning Han
Based on this observation, we design an asymmetric paradigm, in which the encoder employs three stages of MSRBs to improve the learning capacity, whereas the decoder only needs one stage of MSRB to yield satisfactory reconstruction, thereby reducing the decoding complexity without sacrifcing performance.
no code implementations • 14 Feb 2022 • Amol Mandhane, Anton Zhernov, Maribeth Rauh, Chenjie Gu, Miaosen Wang, Flora Xue, Wendy Shang, Derek Pang, Rene Claus, Ching-Han Chiang, Cheng Chen, Jingning Han, Angie Chen, Daniel J. Mankowitz, Jackson Broshear, Julian Schrittwieser, Thomas Hubert, Oriol Vinyals, Timothy Mann
Specifically, we target the problem of learning a rate control policy to select the quantization parameters (QP) in the encoding process of libvpx, an open source VP9 video compression library widely used by popular video-on-demand (VOD) services.
no code implementations • 26 Aug 2021 • Jingning Han, Paul Wilkins, Yaowu Xu, James Bankoski
Its predictive coding scheme propagates the quantization distortion through the prediction chain and creates a temporal dependency.
1 code implementation • 14 Jul 2021 • Haisheng Fu, Feng Liang, Jianping Lin, Bing Li, Mohammad Akbari, Jie Liang, Guohe Zhang, Dong Liu, Chengjie Tu, Jingning Han
However, due to the vast diversity of images, it is not optimal to use one model for all images, even different regions within one image.
no code implementations • 31 Dec 2020 • Mohammad Akbari, Jie Liang, Jingning Han, Chengjie Tu
Recently deep learning-based image compression has shown the potential to outperform traditional codecs.
no code implementations • 9 Dec 2020 • Hongzi Mao, Chenjie Gu, Miaosen Wang, Angie Chen, Nevena Lazic, Nir Levine, Derek Pang, Rene Claus, Marisabel Hechtman, Ching-Han Chiang, Cheng Chen, Jingning Han
In modern video encoders, rate control is a critical component and has been heavily engineered.
1 code implementation • 24 Feb 2020 • Mohammad Akbari, Jie Liang, Jingning Han, Chengjie Tu
Learned image compression has recently shown the potential to outperform the standard codecs.
no code implementations • 11 Dec 2019 • Mohammad Akbari, Jie Liang, Jingning Han, Chengjie Tu
Recently it has been shown that deep learning-based image compression has shown the potential to outperform traditional codecs.
2 code implementations • 8 Jun 2018 • Mohammad Akbari, Jie Liang, Jingning Han
A compact representation of the input image is also generated and encoded as the first enhancement layer.