Results 1 to 10 of about 2,767,284 (348)
3D-generalization of impulse noise removal method for video data processing [PDF]
Компьютерная оптика, 2020 The paper proposes a generalized method of adaptive median impulse noise filtering for video data processing. The method is based on the combined use of iterative processing and transformation of the result of median filtering based on the Lorentz ...
Nikolay Chervyakov +2 more
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Noise-Aware Video Saliency Prediction
Proceedings of the British Machine Vision Conference 2021, 2021 We tackle the problem of predicting saliency maps for videos of dynamic scenes. We note that the accuracy of the maps reconstructed from the gaze data of a fixed number of observers varies with the frame, as it depends on the content of the scene. This issue is particularly pressing when a limited number of observers are available.
Prashnani, Ekta +5 more
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Correlation Noise Estimation in Distributed Video Coding [PDF]
, 2011 Video compression is achieved by exploiting spatial and temporal correlations in the frame sequence. A frame is typically predicted by the encoder from previously coded information (such as blocks and/or frames), and the residual between the frame and its prediction is entropy coded.
Slowack, Jürgen +6 more
openaire +5 more sources
2014 19th International Conference on Digital Signal Processing, 2014 Video halftoning is a technology used to render a video onto a display device that can only display limited number of levels. Conventional video halftoning algorithms produce blue noise video halftones which are prone to flickering. Dedicated deflickering processes are hence required to reduce flickering.
Yuk-Hee Chan, Yik Hing Fung
openaire +3 more sources
TRIP: Temporal Residual Learning with Image Noise Prior for Image-to-Video Diffusion Models [PDF]
Computer Vision and Pattern RecognitionRecent advances in text-to- video generation have demonstrated the utility of powerful diffusion models. Nev-ertheless, the problem is not trivial when shaping diffusion models to animate static image (i.e., image-to-video generation).
Zhongwei Zhang +6 more
openalex +3 more sources
Video Noise Reduction Method Using Adaptive Spatial-Temporal Filtering [PDF]
Discrete Dynamics in Nature and Society, 2015 We proposed a novel method of video noise reduction based on the spatial Wiener filter and the temporal filter. In the proposed spatial Wiener filter, both the amount of noise and the size of the mask are taken into consideration.
Ali Abdullah Yahya, Jieqing Tan, Lian Li
doaj +2 more sources
DRGNet: Enhanced VVC Reconstructed Frames Using Dual-Path Residual Gating for High-Resolution Video [PDF]
SensorsIn recent years, with the rapid development of the Internet and mobile devices, the high-resolution video industry has ushered in a booming golden era, making video content the primary driver of Internet traffic.
Zezhen Gai, Tanni Das, Kiho Choi
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Go-with-the-Flow: Motion-Controllable Video Diffusion Models Using Real-Time Warped Noise [PDF]
Computer Vision and Pattern RecognitionGenerative modeling aims to transform random noise into structured outputs. In this work, we enhance video diffusion models by allowing motion control via structured latent noise sampling.
Ryan Burgert +12 more
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Audio-visual source separation with localization and individual control. [PDF]
PLoS ONEThe growing reliance on video conferencing software brings significant benefits but also introduces challenges, particularly in managing audio quality.
Mohanaprasad Kothandaraman +7 more
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RAVE: Randomized Noise Shuffling for Fast and Consistent Video Editing with Diffusion Models [PDF]
Computer Vision and Pattern Recognition, 2023 Recent advancements in diffusion-based models have demonstrated significant success in generating images from text. However, video editing models have not yet reached the same level of visual quality and user control.
Ozgur Kara +4 more
semanticscholar +1 more source