Image and Video Compression With Neural Networks: A Review
Peking University · Peng Cheng Laboratory · +2 more institutions
Abstract
In recent years, the image and video coding technologies have advanced by leaps and bounds. However, due to the popularization of image and video acquisition devices, the growth rate of image and video data is far beyond the improvement of the compression ratio. In particular, it has been widely recognized that there are increasing challenges of pursuing further coding performance improvement within the traditional hybrid coding framework. Deep convolution neural network which makes the neural network resurge in recent years and has achieved great success in both artificial intelligent and signal processing fields, also provides a novel and promising solution for image and video compression. In this paper, we…
Citation impact
- FWCI
- 18.98
- Percentile
- 100%
- References
- 153
Authors
6- SMSiwei MaCorresponding
Peking University, Peng Cheng Laboratory
- XZXinfeng Zhang
University of Chinese Academy of Sciences
- CJChuanmin Jia
Peking University, Peng Cheng Laboratory
- ZZZhenghui Zhao
Peking University, Peng Cheng Laboratory
- SWShiqi Wang
City University of Hong Kong, Peking University, Peng Cheng Laboratory
Topics & keywords
- Computer science
- Artificial intelligence
- Image compression
- Data compression
- Video compression picture types
- Multiview Video Coding
- Computer vision
- Convolutional neural network
- Industry, innovation and infrastructure