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Noise residual learning for noise modeling in distributed video coding
2012 Picture Coding Symposium, 2012Distributed video coding (DVC) is a coding paradigm which exploits the source statistics at the decoder side to reduce the complexity at the encoder. The noise model is one of the inherently difficult challenges in DVC. This paper considers Transform Domain Wyner-Ziv (TDWZ) coding and proposes noise residual learning techniques that take residues from ...
Soren Forchhammer, Huynh Van Luong
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FreeTraj: Tuning-Free Trajectory Control in Video Diffusion Models
arXiv.orgDiffusion model has demonstrated remarkable capability in video generation, which further sparks interest in introducing trajectory control into the generation process.
Haonan Qiu +5 more
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1993
Media theory, it is no longer a novelty to say, has a problem with sound. Film and television theorists have, until recently, rarely set themselves the task of understanding the soundtrack, and even more rarely the does the problem of articulating sound and image come up.
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Media theory, it is no longer a novelty to say, has a problem with sound. Film and television theorists have, until recently, rarely set themselves the task of understanding the soundtrack, and even more rarely the does the problem of articulating sound and image come up.
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Electronic equipment noise in video facilities
The Journal of the Acoustical Society of America, 1989Noise from electronic equipment is a significant problem for many video studios and ancillary facilities. Frequent efforts to control room ventilation noise are negated by noisy components that must be located within the critical spaces themselves. This paper will review acoustical design considerations for a few recent case histories.
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Noise Power Estimation for Effective De-Noising in a Video Encoder
Proceedings. (ICASSP '05). IEEE International Conference on Acoustics, Speech, and Signal Processing, 2005., 2006This paper presents a noise estimation algorithm using multiresolution motion estimation in a video encoder. Firstly, the motion estimator finds minimum block-matching errors at the finest resolution and the middle resolution for each macroblock. Secondly, if the minimum block-matching error at the finest resolution of a certain macroblock is less than
Kang Wook Chun, Byung Cheol Song
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Dynamic Spatial Focus for Efficient Compressed Video Action Recognition
IEEE transactions on circuits and systems for video technology (Print)Recent years have witnessed a growing interest in compressed video action recognition due to the rapid growth of online videos. It remarkably reduces the storage by replacing raw videos with sparsely sampled RGB frames and other compressed motion cues ...
Ziwei Zheng +6 more
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Perceptual Effects of Noise in Digital Video Compression
140th SMPTE Technical Conference and Exhibit, 1998We present results of subjective viewer assessment of video quality of MPEG-2 compressed video containing wide-band Gaussian noise. The video test sequences consisted of seven test clips (both classical and new materials) to which noise with a peak-signal-to-noise-ratio (PSNR) of from 28 dB to 47 dB was added.
Stephen Wolf +2 more
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Progressive Autoregressive Video Diffusion Models
2025 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)Current frontier video diffusion models have demonstrated remarkable results at generating high-quality videos. However, they can only generate short video clips, normally around 10 seconds or 240 frames, due to computation limitations during training ...
Desai Xie +7 more
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Improving the noise immunity of receiving video distorted white Gaussian noise
2016 International Siberian Conference on Control and Communications (SIBCON), 2016The method of a nonlinear three-dimensional filtering of the video images distorted by additive white Gaussian noise is considered. Improvement of noise immunity of reception of noisy images achieved through the effective use of statistical redundancy video-sequence. The method is used filtering theory of conditional Markov processes.
E.V. Medvedeva, I. S. Trubin
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Video de-noising and parallel implementation for full HD video conferencing
2013 IEEE Third International Conference on Information Science and Technology (ICIST), 2013In this paper, we propose a new de-noising algorithm to handle the mixture of salt and pepper noise and Gaussian noise in videoconference. The algorithm detects the type of noise according to the human visual characteristics first, and then uses median filter to remove salt and pepper noise, and spatial-temporal adaptive filter to remove Gaussian noise.
Yunlong Wang, Jiahai Yang, Xuan Zhang
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