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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
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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
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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
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Quality-Aware Rotating-Ship Template Matching Algorithm Based on Deep Features [PDF]
Jisuanji gongcheng, 2023 Space-based high-value-target continuous tracking has a wide range of applications in situation warning and military decision-making. Currently, single-satellite target tracking is used for the remote-sensing video satellite; however, it is difficult to ...
Zerui WANG, Shi CHEN
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Sensors, 2022 Objective quality assessment of natural images plays a key role in many fields related to imaging and sensor technology. Thus, this paper intends to introduce an innovative quality-aware feature extraction method for no-reference image quality assessment
Domonkos Varga
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Journal of Imaging, 2023 Given the reference (distortion-free) image, full-reference image quality assessment (FR-IQA) algorithms seek to assess the perceptual quality of the test image.
Domonkos Varga
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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
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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
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Hybrid No-Reference Quality Assessment for Surveillance Images
Information, 2022 Intelligent video surveillance (IVS) technology is widely used in various security systems. However, quality degradation in surveillance images (SIs) may affect its performance on vision-based tasks, leading to the difficulties in the IVS system ...
Zhongchang Ye, Xin Ye, Zhonghua Zhao
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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
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