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of 34
pro vyhledávání: '"Krasula, Lukáš"'
We describe a search-free resizing framework that can further improve the rate-distortion tradeoff of recent learned image compression models. Our approach is simple: compose a pair of differentiable downsampling/upsampling layers that sandwich a neu
Externí odkaz:
http://arxiv.org/abs/2204.12022
The goal of most subjective studies is to place a set of stimuli on a perceptual scale. This is mostly done directly by rating, e.g. using single or double stimulus methodologies, or indirectly by ranking or pairwise comparison. All these methods est
Externí odkaz:
http://arxiv.org/abs/2203.13186
Staircase-like contours introduced to a video by quantization in flat areas, commonly known as banding, have been a long-standing problem in both video processing and quality assessment communities. The fact that even a relatively small change of the
Externí odkaz:
http://arxiv.org/abs/2202.11038
VMAF is a machine learning based video quality assessment method, originally designed for streaming applications, which combines multiple quality metrics and video features through SVM regression. It offers higher correlation with subjective opinions
Externí odkaz:
http://arxiv.org/abs/2103.06338
Banding artifacts are artificially-introduced contours arising from the quantization of a smooth region in a video. Despite the advent of recent higher quality video systems with more efficient codecs, these artifacts remain conspicuous, especially o
Externí odkaz:
http://arxiv.org/abs/2102.00079
Autor:
Cheon, Manri, Vigier, Toinon, Krasula, Lukáš, Lee, Junghyuk, Callet, Patrick Le, Lee, Jong-Seok
Publikováno v:
Signal Processing: Image Communication (2021)
Objective image quality metrics try to estimate the perceptual quality of the given image by considering the characteristics of the human visual system. However, it is possible that the metrics produce different quality scores even for two images tha
Externí odkaz:
http://arxiv.org/abs/2101.07439
The development of rigorous quality assessment model relies on the collection of reliable subjective data, where the perceived quality of visual multimedia is rated by the human observers. Different subjective assessment protocols can be used accordi
Externí odkaz:
http://arxiv.org/abs/2010.00370
In a subjective experiment to evaluate the perceptual audiovisual quality of multimedia and television services, raw opinion scores collected from test subjects are often noisy and unreliable. To produce the final mean opinion scores (MOS), recommend
Externí odkaz:
http://arxiv.org/abs/2004.02067
Publikováno v:
IEEE Transactions on Multimedia 2018
Assessment of multimedia quality relies heavily on subjective assessment, and is typically done by human subjects in the form of preferences or continuous ratings. Such data is crucial for analysis of different multimedia processing algorithms as wel
Externí odkaz:
http://arxiv.org/abs/1706.00291
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