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Emu Video: Factorizing Text-to-Video Generation by Explicit Image Conditioning

European Conference on Computer Vision, 2023
We present Emu Video, a text-to-video generation model that factorizes the generation into two steps: first generating an image conditioned on the text, and then generating a video conditioned on the text and the generated image.
Rohit Girdhar   +9 more
semanticscholar   +1 more source

Noise Estimation in Video Surveillance Systems [PDF]

open access: possible2009 WRI World Congress on Computer Science and Information Engineering, 2009
Noise estimation plays an important role in the evaluation of video quality. In video surveillance systems, noise is mainly introduced by the camera and the quantization process. This paper proposes a method to estimate the noise in video communication systems.
Tang Hui-ming, Lu Chao, Li Jin-chao
openaire   +1 more source

Channel noise and correlation noise of video sequences in distributed video coding

2011 21st International Conference on Noise and Fluctuations, 2011
Distributed video coding (DVC) is defined such as a correlated video sequence is transmitted via the distributed independent encoders, and it can be decoded conditionally at the decoder. In the DVC coding, if an encoder encodes the video frame X and the side information Y is at the decoder, where the side information is computed using the adjacent ...
Kuganeswaran Thambu   +2 more
openaire   +2 more sources

Comfort noise for compressed video

2005 Digest of Technical Papers. International Conference on Consumer Electronics, 2005. ICCE., 2005
Similar to adding a dither signal to still images to hide contouring, a dither signal may be added to decompressed video prior to display to hide video compression artifacts such as blockiness. We propose that the added "comfort noise" be temporally correlated to reduce the perceived noisiness.
Alexis Michael Tourapis   +1 more
openaire   +2 more sources

Differential Video Noise Estimation

2006 International Conference on Communication Technology, 2006
In this paper, we propose a fast and reliable white- noise variance estimation. The method subtracts two sequential frames of video first and then finds intensity-homogeneous blocks in both original image and differential image, and at last estimates the noise variance in these blocks by a Gaussian weighted averaging process.
Zhu Lei, Xu Peixia
openaire   +2 more sources

Noise level detection in general video [PDF]

open access: possible2018 International Workshop on Advanced Image Technology (IWAIT), 2018
Noise level is a major factor when assessing the video quality. Although digital technologies have advanced, imaging is an analogue technology based on the photo-electric conversion imaging characteristics. Recently the sensitivity of imaging devices improved dramatically.
Seiichi Gohshi, Kazuhiro Miyamae
openaire   +1 more source

Noise measurement in video images

2000 Digest of Technical Papers. International Conference on Consumer Electronics. Nineteenth in the Series (Cat. No.00CH37102), 2002
Many image enhancement algorithms easily fail in the presence of noise. Noise adaptive algorithms are much more robust, and a good and accurate enough algorithm for noise measurement is a key component. The proposed algorithms combine good performance with low complexity.
Christian Hentschel, Haiyan He
openaire   +2 more sources

Evaluating video quality with temporal noise [PDF]

open access: possible2010 IEEE International Conference on Multimedia and Expo, 2010
Human can only perceive video distortions beyond certain intensity. Temporal variations of suprathreshold noise in a video induce annoying temporal noise (e.g., flickering artifacts). Prior studies on full-reference video quality assessment (VQA) focused mainly on spatial quality of impaired videos, and ignored or underestimated the impact of temporal ...
Lu Yu, Zhao Yin
openaire   +1 more source

FreeInit: Bridging Initialization Gap in Video Diffusion Models

European Conference on Computer Vision, 2023
Though diffusion-based video generation has witnessed rapid progress, the inference results of existing models still exhibit unsatisfactory temporal consistency and unnatural dynamics.
Tianxing Wu   +4 more
semanticscholar   +1 more source

Modeling of Surveillance Video Noise

Signal Processing, Pattern Recognition, and Applications / 722: Computer Graphics and Imaging, 2011
This paper aims at breaking new ground in modeling and estimation of recording noise of surveillance video for further development of new techniques to restore video images. In order to tackle the video denoising problem with non-stationary image contents and various noise sources, a critical task is estimation of varieties of noise in video signals ...
Xinghuo Yu   +3 more
openaire   +2 more sources

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