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A Novel Video Compression Approach Based on Two-Stage Learning [PDF]
EntropyIn recent years, the rapid growth of video data posed challenges for storage and transmission. Video compression techniques provided a viable solution to this problem.
Dan Shao +4 more
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Recent trending on learning based video compression: A survey
Cognitive Robotics, 2021 The increase of video content and video resolution drive more exploration of video compression techniques recently. Meanwhile, learning-based video compression is receiving much attention over the past few years because of its content adaptivity and ...
Trinh Man Hoang, M.E, Jinjia Zhou, PhD
doaj +3 more sources
Advances in Video Compression System Using Deep Neural Network: A Review and Case Studies [PDF]
Proceedings of the IEEE, 2021 Significant advances in video compression systems have been made in the past several decades to satisfy the near-exponential growth of Internet-scale video traffic.
Di Chen, Fengqing Zhu, Dandan Ding
exaly +2 more sources
Deep Learning Approaches for Video Compression: A Bibliometric Analysis
Big Data and Cognitive Computing, 2022 Every data and kind of data need a physical drive to store it. There has been an explosion in the volume of images, video, and other similar data types circulated over the internet.
Kailash Shaw +2 more
exaly +2 more sources
Efficient Video Compression Using Afterimage Representation [PDF]
SensorsRecent advancements in large-scale video data have highlighted the growing need for efficient data compression techniques to enhance video processing performance.
Minseong Jeon, Kyungjoo Cheoi
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Neural Video Compression with Diverse Contexts [PDF]
Computer Vision and Pattern Recognition, 2023 For any video codecs, the coding efficiency highly relies on whether the current signal to be encoded can find the relevant contexts from the previous reconstructed signals.
Jia-Hao Li, Bin Li, Yan Lu
semanticscholar +1 more source
Hybrid Spatial-Temporal Entropy Modelling for Neural Video Compression [PDF]
ACM Multimedia, 2022 For neural video codec, it is critical, yet challenging, to design an efficient entropy model which can accurately predict the probability distribution of the quantized latent representation.
Jiahao Li, Bin Li, Yan Lu
semanticscholar +1 more source
Knowledge Engineering and Data Science, 2023 Video compression is used for storage or bandwidth efficiency in clip video information. Video compression involves encoders and decoders. Video compression uses intra-frame, inter-frame, and block-based methods.
Arief Bramanto Wicaksono Putra +4 more
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Deep Contextual Video Compression [PDF]
Neural Information Processing Systems, 2021 Most of the existing neural video compression methods adopt the predictive coding framework, which first generates the predicted frame and then encodes its residue with the current frame. However, as for compression ratio, predictive coding is only a sub-
Jia-Hao Li, Bin Li, Yan Lu
semanticscholar +1 more source
FVC: A New Framework towards Deep Video Compression in Feature Space [PDF]
Computer Vision and Pattern Recognition, 2021 Learning based video compression attracts increasing attention in the past few years. The previous hybrid coding approaches rely on pixel space operations to reduce spatial and temporal redundancy, which may suffer from inaccurate motion estimation or ...
Zhihao Hu, Guo Lu, Dong Xu
semanticscholar +1 more source