Results 211 to 220 of about 169,017 (241)
Image quality assessment employing joint structure-colour histograms as quality-aware features [PDF]
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.
Ruizhe Deng, Yong Ding
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Intelligent human hand gesture recognition by local–global fusing quality-aware features
Future Generation Computer Systems, 2021Abstract Each 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. However, for normal people without specific training process, it is challenging for them to understand the meaning of the various hand ...
Tao Song +5 more
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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. M. Kamruzzaman
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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. M. Kamruzzaman
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Deeply fusing multi-model quality-aware features for sophisticated human activity understanding
Signal Processing: Image Communication, 2020Abstract Detecting and understanding human action under sophisticated lighting condition and backgrounds, also known as human action recognition in real-world context, is an indispensable component in modern intelligent systems and has becoming a hot research topic currently.
Xiaoli Liu, Zhibin Li
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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
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Quality-aware video based on robust embedding of intra- and inter-frame reduced-reference features [PDF]
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
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Recaptured Image Forensics Based on Quality Aware and Histogram Feature
2017The recaptured images forensics has drawn much attention in forensics community. The technology can provide some evidences for copyright protection and protect the face spoofing system to a certain degree. In this paper, we propose an algorithm to detect the images recaptured from LCD screen.
Pengpeng Yang 0001 +3 more
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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. Most studies, however, have been conducted in controlled laboratory environments with artificially-
Abhishek Tiwari 0003 +2 more
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2021 6th International Conference for Convergence in Technology (I2CT), 2021
Assessment of the quality of the no-reference images in real-life applications is of immense importance. The no-reference image quality assessment (NR-IQA) algorithms are designed to measure quantitatively and accurately the perpetual quality of an image without any prior knowledge about its reference.
Chirag Kyal +2 more
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Assessment of the quality of the no-reference images in real-life applications is of immense importance. The no-reference image quality assessment (NR-IQA) algorithms are designed to measure quantitatively and accurately the perpetual quality of an image without any prior knowledge about its reference.
Chirag Kyal +2 more
openaire +1 more source
Compression-RQ-VQA: Leveraging Rich Quality-Aware Features for Compressed Video Quality Assessment
Lecture Notes in Computer ScienceXiongkuo Min +2 more
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