Results 51 to 60 of about 1,086 (97)
Ghost imaging-based Non-contact Heart Rate Detection
Remote heart rate measurement is an increasingly concerned research field, usually using remote photoplethysmography (rPPG) to collect heart rate information through video data collection.
Chen, Hui +6 more
core
Can No-Reference Quality-Assessment Methods Serve as Perceptual Losses for Super-Resolution?
Perceptual losses play an important role in constructing deep-neural-network-based methods by increasing the naturalness and realism of processed images and videos. Use of perceptual losses is often limited to LPIPS, a fullreference method.
Chistov, Egor +3 more
core
A Neural Enhancement Post-Processor with a Dynamic AV1 Encoder Configuration Strategy for CLIC 2024
At practical streaming bitrates, traditional video compression pipelines frequently lead to visible artifacts that degrade perceptual quality. This submission couples the effectiveness of a neural post-processor with a different dynamic optimsation ...
Kokaram, Anil, Ramsook, Darren
core
Encoder-Quantization-Motion-based Video Quality Metrics
In an adaptive bitrate streaming application, the efficiency of video compression and the encoded video quality depend on both the video codec and the quality metric used to perform encoding optimization.
Chen, Yixu +4 more
core
Interactive Generation of Laparoscopic Videos with Diffusion Models
Generative AI, in general, and synthetic visual data generation, in specific, hold much promise for benefiting surgical training by providing photorealism to simulation environments.
Allmendinger, Simeon +4 more
core
ODVista: An Omnidirectional Video Dataset for super-resolution and Quality Enhancement Tasks
Omnidirectional or 360-degree video is being increasingly deployed, largely due to the latest advancements in immersive virtual reality (VR) and extended reality (XR) technology.
Amirpour, Hadi +3 more
core
Guest Editorial: Scale Space and Variational Methods
F. Lauze, Yiqiu Dong, A. Dahl
semanticscholar +1 more source
RankDVQA-mini: Knowledge Distillation-Driven Deep Video Quality Assessment
Deep learning-based video quality assessment (deep VQA) has demonstrated significant potential in surpassing conventional metrics, with promising improvements in terms of correlation with human perception.
Bull, David +6 more
core
High-resolution spectra of solar magnetic features. II, Magnetic fields of umbral brightenings
B. Lites +3 more
semanticscholar +1 more source

