Results 11 to 20 of about 833,049 (266)
Learning to Predict Page View on College Official Accounts With Quality-Aware Features [PDF]
Frontiers in Neuroscience, 2021 At present, most of departments in colleges have their own official accounts, which have become the primary channel for announcements and news. In the official accounts, the popularity of articles is influenced by many different factors, such as the ...
Yibing Yu +6 more
doaj +8 more sources
Quality Aware Features for Performance Prediction and Time Reduction in Video Object Tracking [PDF]
IEEE Access, 2022 The existing body of work on video object tracking (VOT) algorithms has studied various image conditions such as occlusion, clutter, and object shape, which influence video quality and affect tracking performance.
Roger Gomez-Nieto +5 more
doaj +3 more sources
Blind image quality assessment based on aesthetic and statistical quality-aware features [PDF]
Journal of Electronic Imaging, 2017 The main goal of image quality assessment (IQA) methods is the emulation of human perceptual image quality judgments. Therefore, the correlation between objective scores of these methods with human perceptual scores is considered as their performance metric.
Mohsen Ebrahimi Moghaddam +1 more
exaly +4 more sources
Machine Learning and Knowledge ExtractionDigital breast tomosynthesis (DBT) is a 3D breast cancer screening technique that can overcome the limitations of standard 2D digital mammography. However, DBT images often suffer from artifacts stemming from acquisition conditions, a limited angular ...
Loay Hassan +3 more
doaj +3 more sources
Enhancing blind video quality assessment with rich quality-aware features
Expert Systems With ApplicationsBlind video quality assessment (BVQA) is a highly challenging task due to the intrinsic complexity of video content and visual distortions, especially given the high popularity of social media videos, which originate from a wide range of sources, and are
Xiongkuo Min, , Guangtao Zhai
exaly +4 more sources
Ada-DQA: Adaptive Diverse Quality-aware Feature Acquisition for Video Quality Assessment [PDF]
Proceedings of the 31st ACM International Conference on Multimedia, 2023 Video quality assessment (VQA) has attracted growing attention in recent years. While the great expense of annotating large-scale VQA datasets has become the main obstacle for current deep-learning methods.
Hongbo Liu +7 more
semanticscholar +3 more sources
No-Reference Quality Assessment of Authentically Distorted Images Based on Local and Global Features
Journal of Imaging, 2022 With the development of digital imaging techniques, image quality assessment methods are receiving more attention in the literature. Since distortion-free versions of camera images in many practical, everyday applications are not available, the need for ...
Domonkos Varga
doaj +3 more sources
No-Reference Image Quality Assessment with Global Statistical Features
Journal of Imaging, 2021 The perceptual quality of digital images is often deteriorated during storage, compression, and transmission. The most reliable way of assessing image quality is to ask people to provide their opinions on a number of test images.
Domonkos Varga
doaj +3 more sources
Sensors, 2022 During acquisition, storage, and transmission, the quality of digital videos degrades significantly. Low-quality videos lead to the failure of many computer vision applications, such as object tracking or detection, intelligent surveillance, etc.
Domonkos Varga
doaj +3 more sources
Single-Lead ECG Arrhythmia Classification Based on Peak-Enhanced Attention Network and Quality-Aware GAN Data Augmentation Framework [PDF]
SensorsSingle-lead electrocardiogram (ECG) is widely used in wearable devices for atrial fibrillation (AF) screening. Nevertheless, subtle pathological characteristics like P-waves and f-waves in practical signals are vulnerable to noise contamination ...
Yaoyu Zhang, Yi Xia
doaj +2 more sources