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Improving Context-Aware Personalized Nudging: Using Wearable Sensors to Reduce Sedentary Behavior. [PDF]
Dela J Public HealthRahman T +6 more
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Face Detection on Distorted Images Augmented by Perceptual Quality-Aware Features
IEEE Transactions on Information Forensics and Security, 2014Motivated by the proliferation of low-cost digital cameras in mobile devices being deployed in automated surveillance networks, we study the interaction between perceptual image quality and a classic computer vision task of face detection. We quantify the degradation in performance of a popular and effective face detector when human-perceived image ...
Alan Bovik, Suriya Gunasekar
exaly +3 more sources
No-Reference Video Quality Assessment Using Local Structural and Quality-Aware Deep Features
IEEE Transactions on Instrumentation and Measurement, 2023Due to the growing demand for high-quality video services in 4G and 5G applications, measuring the quantitative quality of video services is expected to become a major vital task.
Kishor Bhurchandi +1 more
exaly +3 more sources
A no-reference underwater image quality evaluator via quality-aware features
Journal of Visual Communication and Image Representation, 2023Guojia Hou, Lu Tan
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Intelligent human hand gesture recognition by local-global fusing quality-aware features
Future Generation Computer Systems, 2021Each normal human has pairwise hands, which can make sophisticated hand gestures delivering different semantic meanings. In practice, disabled persons can communicate with each other by their hand gestures.
Tao Song +5 more
semanticscholar +2 more sources
Quality-Aware Bag of Modulation Spectrum Features for Robust Speech Emotion Recognition
IEEE Transactions on Affective Computing, 2022Automatic speech emotion recognition (SER) has gained popularity over the last decade and numerous Challenges have emerged. While the latest Challenges have shown that deep neural networks achieve the best results, existing input features are still a ...
S. Kshirsagar, T. Falk
semanticscholar +2 more sources
Face detection on distorted images using perceptual quality-aware features
SPIE Proceedings, 2014We quantify the degradation in performance of a popular and effective face detector when human–perceived image quality is degraded by distortions due to additive white gaussian noise, gaussian blur or JPEG compression. It is observed that, within a certain range of perceived image quality, a modest increase in image quality can drastically improve ...
Suriya Gunasekar +2 more
semanticscholar +2 more sources
Quality-Aware Feature Aggregation Network for Robust RGBT Tracking
IEEE Transactions on Intelligent Vehicles, 2020RGBT tracking becomes a popular computer vision task, and has a variety of applications in visual surveillance systems, self-driving cars and intelligent transportation system.
Yabin Zhu +3 more
semanticscholar +2 more sources
Future Generation Computer Systems, 2021
Abstract Classification, recognition, and quality assessment of aerial images strongly depends on detecting and identifying their discriminative visual features. In practice, aerial images provide clues for various applications, including disaster prediction, automatic navigation, and military target detection.
Yuanjin Xu, Ming Wei, M. Kamruzzaman
semanticscholar +2 more sources
Abstract Classification, recognition, and quality assessment of aerial images strongly depends on detecting and identifying their discriminative visual features. In practice, aerial images provide clues for various applications, including disaster prediction, automatic navigation, and military target detection.
Yuanjin Xu, Ming Wei, M. Kamruzzaman
semanticscholar +2 more sources
Stress and Anxiety Measurement "In-the-Wild" Using Quality-aware Multi-scale HRV Features
2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2019Heart rate variability (HRV) has been studied in the context of human behavior analysis and many features have been extracted from the inter-beat interval (RR) time series and tested as correlates of constructs such as mental workload, stress and anxiety.
Abhishek Tiwari +2 more
semanticscholar +3 more sources