Results 291 to 300 of about 2,767,284 (348)
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Noise reduction in SEM video signals
International Journal of Electronics, 1976Linear filtering methods of noise reduction in SEM video signals are discussed. It is shown that time-averaging filters distort and corrupt the signal to obtain optimum signal to noise ratio. Ensemble averaging filters are demonstrated as the better, since no signal distortion occurs.
P. A. Taylor, D. Everett, Anand Gopinath
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A Note on Video Noise Weighting
IEEE Transactions on Broadcasting, 1964A dicussion on video noise weighting is presented. A standard way of comparing results is proposed.
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UniAnimate: Taming Unified Video Diffusion Models for Consistent Human Image Animation
Science China Information SciencesRecent diffusion-based human image animation techniques have demonstrated impressive success in synthesizing videos that faithfully follow a given reference identity and a sequence of desired movement poses. Despite this, there are still two limitations:
Xiang Wang +7 more
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ConsistI2V: Enhancing Visual Consistency for Image-to-Video Generation
Trans. Mach. Learn. Res.Image-to-video (I2V) generation aims to use the initial frame (alongside a text prompt) to create a video sequence. A grand challenge in I2V generation is to maintain visual consistency throughout the video: existing methods often struggle to preserve ...
Weiming Ren +6 more
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A new equipment for the measurement of video noise
Radio and Electronic Engineer, 1971Describes a video noise measuring equipment which has been developed to meet the needs of a television broadcasting organization. The various measuring techniques available for this purpose are reviewed and the chosen method, which employs a sampling technique, is fully described.
F.H. Wise, D.R. Brian
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Learning Temporally Consistent Video Depth from Video Diffusion Priors
Computer Vision and Pattern RecognitionThis work addresses the challenge of streamed video depth estimation, which expects not only per-frame accuracy but, more importantly, cross-frame consistency.
Jiahao Shao +6 more
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Compression noise based video forgery detection
2014 IEEE International Conference on Image Processing (ICIP), 2014Intelligent video editing techniques can be used to tamper videos such as surveillance camera videos, defeating their potential to be used as evidence in a court of law. In this paper, we propose a technique to detect forgery in MPEG videos by analyzing the frame's compression noise characteristics.
Gaurav Gupta +3 more
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Noise parameter identification for video tracking systems [PDF]
Moscow University Mechanics Bulletin, 2017 The appearance of noises in output records is analyzed for the following movement video tracking systems: Qualisys Oqus, Vicon Bonita, and ARTTRACK2. The static and kinematic noise components are distinguished and their parameters are proposed to identify by comparing with model movements.
A. G. Yakushev, T. Yu. Bokov
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Magic-Me: Identity-Specific Video Customized Diffusion
ECCV WorkshopsCreating content with specified identities (ID) has attracted significant interest in the field of generative models. In the field of text-to-image generation (T2I), subject-driven creation has achieved great progress with the identity controlled via ...
Ze Ma +8 more
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A Video-Frequency Noise-Spectrum Analyzer
Proceedings of the IRE, 1949A wave analyzer capable of measuring noise spectra in the video-frequency range is described. Part I of the paper discusses requirements in noise-analyzer design. Part II is a detailed description of a practical instrument. A frequency range of 50 kc to 10 Mc is covered, without bandswitching, at virtually constant sensitivity.
P.S. Jastram, G.P. McCouch
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