3 citations · 5 across the 5 of their papers we have counts for
6 papers
Neural video codecs quality assessment dataset and benchmark
Nikolay Safonov, Nikita Gornostaev, Alexandra Dubonos +1
Video traffic constitutes a significant share of global web traffic. To reduce its volume, video codecs have been developed and continuously improved. While the industry has achiev…
JPEG AI Image Compression Visual Artifacts: Detection Methods and Dataset
Daria Tsereh, Mark Mirgaleev, Ivan Molodetskikh +2
Learning-based image compression methods have improved in recent years and started to outperform traditional codecs. However, neural-network approaches can unexpectedly introduce v…
Applicability limitations of differentiable full-reference image-quality
Maksim Siniukov, Dmitriy Kulikov, Dmitriy Vatolin
Subjective image-quality measurement plays a critical role in the development of image-processing applications. The purpose of a visual-quality metric is to approximate the results…
Bit-depth enhancement detection for compressed video
Nickolay Safonov, Dmitriy Vatolin
In recent years, display intensity and contrast have increased considerably. Many displays support high dynamic range (HDR) and 10-bit color depth. Since high bit-depth is an emerg…
Power Consumption of Video-Decoders on Various Android Devices
Roman Kazantsev, Dmitriy Vatolin
The critical constraint of mobile devices is a limited battery life that is significantly reduced during video playback. The power efficiency of video playback mainly depends on th…
Hacking VMAF with Video Color and Contrast Distortion
Anastasia Zvezdakova, Sergey Zvezdakov, Dmitriy Kulikov +1
Video quality measurement takes an important role in many applications. Full-reference quality metrics which are usually used in video codecs comparisons are expected to reflect an…