Results 1 to 10 of about 1,403,600 (257)
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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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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Image quality assessment employing joint structure‐colour histograms as quality‐aware features [PDF]
Electronics Letters, 2017 Image quality assessment is of fundamental importance for various image processing applications. A novel method is presented in which the joint occurrences of statistical local representation by log‐Gabor filters and texture analysis by local tetra patterns and histograms of colour are considered as quality‐aware features.
Yong Ding, Ruizhe Deng
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Enhancing blind video quality assessment with rich quality-aware features
Expert Systems With ApplicationsIn this paper, we present a simple but effective method to enhance blind video quality assessment (BVQA) models for social media videos. Motivated by previous researches that leverage pre-trained features extracted from various computer vision models as the feature representation for BVQA, we further explore rich quality-aware features from pre-trained
Wei Sun, Jun Jia, Zhichao Zhang
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Quality-aware video based on robust embedding of intra- and inter-frame reduced-reference features [PDF]
2010 IEEE International Conference on Image Processing, 2010 With the rapid development of network visual communications, there is an urgent need of effective and efficient video quality assessment (VQA) methods for quality control and resource allocation purposes. In this paper, a spatial and temporal reduced-reference (RR) VQA measure is combined with a robust video watermarking approach, leading to a quality ...
Kai Zeng, Zhou Wang
exaly +2 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
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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
doaj +1 more source
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
doaj +1 more source