Results 311 to 320 of about 2,767,284 (348)
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Mutual Noise Estimation Algorithm for Video Denoising
2019 IEEE International Conference on Image Processing (ICIP), 2019This paper presents a novel algorithm to estimate spatio-temporal noise variance in videos. The algorithm uses mutual information from the spatial and temporal noise statistics to detect homogeneous blocks in a video frame and estimate the noise. The experimental results show the accuracy and robustness of the algorithm over videos with low to high ...
Neil Birkbeck +2 more
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NM-GAN: Noise-modulated generative adversarial network for video anomaly detection
Pattern Recognition, 2021Dongyue Chen +4 more
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Video oriented filter for impulse noise reduction
Journal of Visual Communication and Image Representation, 2018Abstract A window-adaptive video filter for removal of impulse noise from grayscale videos is proposed. The new method is based on local orientation estimation. The dominant orientation of the pattern in a local spatial neighborhood is computed by minimizing an expression of directional derivatives, and at the same time the orientation strength is ...
Hong Liu +3 more
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Step-Video-T2V Technical Report: The Practice, Challenges, and Future of Video Foundation Model
arXiv.orgWe present Step-Video-T2V, a state-of-the-art text-to-video pre-trained model with 30B parameters and the ability to generate videos up to 204 frames in length. A deep compression Variational Autoencoder, Video-VAE, is designed for video generation tasks,
Guoqing Ma +99 more
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Image and Video Noise: An Industry Perspective
2018Images and video are increasingly becoming a part of our everyday lives and with this growth, we find an increasing number of industrial and commercial applications of imagery. In this chapter, we will examine the problem of image noise from an industrial and commercial viewpoint.
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A single-chip, low-noise video amplifier with variable gain in a 0.5 µm GaAs pHEMT technology
European Microwave Conference, 2014I. Bisby
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Noise reduction for video signals
2009Noise reduction is an important aspect of video processing. This thesis proposes a motion adaptive temporal-spatial noise reduction system. The three-step motion detection algorithm is the key for the system. First the pixel-to-pixel difference between two frames are compared to a threshold.
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Video Caching, Analytics, and Delivery at the Wireless Edge: A Survey and Future Directions
IEEE Communications Surveys and Tutorials, 2021Behrouz Jedari +2 more
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Hematology and oncology clinical care during the coronavirus disease 2019 pandemic
Ca-A Cancer Journal for Clinicians, 2020Manish A Shah +2 more
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