21 citations · 57 across the 12 of their papers we have counts for
9 papers · 1 filter
Transform and Entropy Coding in AV2
Alican Nalci, Hilmi E. Egilmez, Madhu P. Krishnan +21
AV2 is the successor to the AV1 video coding standard developed by the Alliance for Open Media (AOMedia). Its primary objective is to deliver substantial compression gains and subj…
Multi-rate adaptive transform coding for video compression
Lyndon R. Duong, Bohan Li, Cheng Chen +1
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 d…
Asymmetric Learned Image Compression with Multi-Scale Residual Block, Importance Map, and Post-Quantization Filtering
Haisheng Fu, Feng Liang, Jie Liang +3
Recently, deep learning-based image compression has made signifcant progresses, and has achieved better ratedistortion (R-D) performance than the latest traditional method, H.266/V…
MuZero with Self-competition for Rate Control in VP9 Video Compression
Amol Mandhane, Anton Zhernov, Maribeth Rauh +16
Video streaming usage has seen a significant rise as entertainment, education, and business increasingly rely on online video. Optimizing video compression has the potential to inc…
A Quantitative Approach To The Temporal Dependency in Video Coding
Jingning Han, Paul Wilkins, Yaowu Xu +1
Motion compensated prediction is central to the efficiency of video compression. Its predictive coding scheme propagates the quantization distortion through the prediction chain an…
Learned Image Compression with Gaussian-Laplacian-Logistic Mixture Model and Concatenated Residual Modules
Haisheng Fu, Feng Liang, Jianping Lin +7
Recently deep learning-based image compression methods have achieved significant achievements and gradually outperformed traditional approaches including the latest standard Versat…
A Technical Overview of AV1
Jingning Han, Bohan Li, Debargha Mukherjee +12
The AV1 video compression format is developed by the Alliance for Open Media consortium. It achieves more than 30% reduction in bit-rate compared to its predecessor VP9 for the sam…
Generalized Octave Convolutions for Learned Multi-Frequency Image Compression
Mohammad Akbari, Jie Liang, Jingning Han +1
Learned image compression has recently shown the potential to outperform the standard codecs. State-of-the-art rate-distortion (R-D) performance has been achieved by context-adapti…
Learned Variable-Rate Image Compression with Residual Divisive Normalization
Mohammad Akbari, Jie Liang, Jingning Han +1
Recently it has been shown that deep learning-based image compression has shown the potential to outperform traditional codecs. However, most existing methods train multiple networ…