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Recaptured Image Forensics Based on Quality Aware and Histogram Feature
Lecture Notes in Computer Science, 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 +2 more
exaly +2 more sources
Journal of Electronic Imaging, 2016
The performance of conventional denoising algorithms is usually controlled by one or several parameters whose optimal settings depend on the contents of the processed images and the characteristics of the noises. Among these parameters, noise level is a fundamental parameter that is always assumed to be known by most of the existing denoising ...
Shaoping Xu, Lingyan Hu, Xiaohui Yang
semanticscholar +2 more sources
The performance of conventional denoising algorithms is usually controlled by one or several parameters whose optimal settings depend on the contents of the processed images and the characteristics of the noises. Among these parameters, noise level is a fundamental parameter that is always assumed to be known by most of the existing denoising ...
Shaoping Xu, Lingyan Hu, Xiaohui Yang
semanticscholar +2 more sources
Learning time-aware features for action quality assessment
Pattern Recognition Letters, 2022Yu Zhang, Siya Mi, Wei Xiong
exaly +2 more sources
Robust 3D Tracking with Quality-Aware Shape Completion
AAAI Conference on Artificial Intelligence, 20233D single object tracking remains a challenging problem due to the sparsity and incompleteness of the point clouds. Existing algorithms attempt to address the challenges in two strategies.
J. Zhang +4 more
semanticscholar +1 more source
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
openaire +1 more source
Gait Quality Aware Network: Toward the Interpretability of Silhouette-Based Gait Recognition
IEEE Transactions on Neural Networks and Learning Systems, 2022Gait recognition receives increasing attention since it can be conducted at a long distance in a nonintrusive way and applied to the condition of changing clothes.
Saihui Hou +3 more
semanticscholar +1 more source
Compression-RQ-VQA: Leveraging Rich Quality-Aware Features for Compressed Video Quality Assessment
Lecture Notes in Computer ScienceXiongkuo Min +2 more
exaly +2 more sources
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
openaire +1 more source
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
Metadata and Image Features Co-Aware Personalized Federated Learning for Smart Healthcare
IEEE journal of biomedical and health informatics, 2023Recently, artificial intelligence has been widely used in intelligent disease diagnosis and has achieved great success. However, most of the works mainly rely on the extraction of image features but ignore the use of clinical text information of patients,
Tong Jin +3 more
semanticscholar +1 more source
Quality-Aware Neural Adaptive Video Streaming With Lifelong Imitation Learning
IEEE Journal on Selected Areas in Communications, 2020Existing Adaptive Bitrate (ABR) algorithms pick future video chunks’ bitrates via fixed rules or offline trained models to ensure good quality of experience (QoE) for Internet video.
Tianchi Huang +6 more
semanticscholar +1 more source