Results 21 to 30 of about 4,406,020 (326)
Offline and Online Optical Flow Enhancement for Deep Video Compression [PDF]
AAAI Conference on Artificial Intelligence, 2023 Video compression relies heavily on exploiting the temporal redundancy between video frames, which is usually achieved by estimating and using the motion information.
Chuan-Bo Tang +5 more
semanticscholar +1 more source
Multiview Video Compression [PDF]
IEEE Signal Processing Magazine, 2007 Due to the vast raw bit rate of multiview video, efficient compression techniques are essential for 3D scene communication. As the video data originate from the same scene, the inherent similarities of the multiview imagery are exploited for efficient compression.
Markus Flierl, Bernd Girod
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Технічна інженерія, 2022 The article discusses the compression of digital data of measuring video information. Such compression is an integral part of the data conversion process in computerized information and measurement systems designed to measure linear and angular ...
Yu.O., Yu.O. , L.O. , T.S.
doaj +1 more source
Deep Hierarchical Video Compression [PDF]
AAAI Conference on Artificial Intelligence, 2023 Recently, probabilistic predictive coding that directly models the conditional distribution of latent features across successive frames for temporal redundancy removal has yielded promising results.
Ming-Tse Lu +3 more
semanticscholar +1 more source
Compressive Video Sampling [PDF]
, 2008 Publication in the conference proceedings of EUSIPCO, Lausanne, Switzerland ...
Stankovic, V., Stankovic, L., Cheng, S.
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MMVC: Learned Multi-Mode Video Compression with Block-based Prediction Mode Selection and Density-Adaptive Entropy Coding [PDF]
Computer Vision and Pattern Recognition, 2023 Learning-based video compression has been extensively studied over the past years, but it still has limitations in adapting to various motion patterns and entropy models.
Bowen Liu +4 more
semanticscholar +1 more source
Visual Saliency Guided Foveated Video Compression
IEEE Access, 2023 Video compression has become increasingly crucial as video resolution and bitrate have surged in recent years. However, most widely applied video compression methods do not fully exploit the characteristics of the Human Visual System (HVS) to reduce ...
Shupei Zhang, Anup Basu
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Neural Video Compression with Feature Modulation [PDF]
Computer Vision and Pattern RecognitionThe emerging conditional coding-based neural video codec (NVC) shows superiority over commonly-used resid-ual coding-based codec and the latest NVC already claims to outperform the best traditional codec.
Jia-Hao Li, Bin Li, Yan Lu
semanticscholar +1 more source
CANF-VC: Conditional Augmented Normalizing Flows for Video Compression [PDF]
European Conference on Computer Vision, 2022 This paper presents an end-to-end learning-based video compression system, termed CANF-VC, based on conditional augmented normalizing flows (CANF). Most learned video compression systems adopt the same hybrid-based coding architecture as the traditional ...
Yung-Han Ho +4 more
semanticscholar +1 more source
Learned Video Compression [PDF]
2019 IEEE/CVF International Conference on Computer Vision (ICCV), 2019 We present a new algorithm for video coding, learned end-to-end for the low-latency mode. In this setting, our approach outperforms all existing video codecs across nearly the entire bitrate range. To our knowledge, this is the first ML-based method to do so.
Oren Rippel +5 more
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