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IEEE Transactions on Circuits and Systems for Video Technology, ISSN 1051-8215, 07/2017, Volume 27, Issue 7, pp. 1450 - 1463
Journal Article
IEEE Journal of Selected Topics in Signal Processing, ISSN 1932-4553, 02/2017, Volume 11, Issue 1, pp. 206 - 220
In general, owing to the benefits obtained from original information, full-reference image quality assessment (FR-IQA) achieves relatively higher prediction... 
Training | Image quality | Measurement | deep learning | Neural networks | Convolutional neural network | Machine learning | no-reference image quality assessment | Feature extraction | Distortion | image quality assessment | NEURAL-NETWORKS | STATISTICS | VIDEO QUALITY | ENGINEERING, ELECTRICAL & ELECTRONIC
Journal Article
IEEE Transactions on Circuits and Systems for Video Technology, ISSN 1051-8215, 05/2017, Volume 27, Issue 5, pp. 951 - 964
Journal Article
Journal Article
Journal Article
Journal Article
2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), ISSN 1063-6919, 07/2017, Volume 2017-, pp. 1969 - 1977
Since human observers are the ultimate receivers of digital images, image quality metrics should be designed from a human-oriented perspective. Conventionally,... 
Image quality | Visualization | Sensitivity | Convolution | Databases | Computational modeling | Distortion
Conference Proceeding
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), ISSN 0302-9743, 2015, Volume 9314, pp. 334 - 343
Journal Article
IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences, ISSN 0916-8508, 09/2015, Volume E98A, Issue 9, pp. 2004 - 2008
Due to ease of implementation for various user interactive applications, much research on motion recognition has been completed using Kinect. However, one... 
Multiple Kinect | Makerless motion capture | Virtual reality | Weighted integration | virtual reality | COMPUTER SCIENCE, HARDWARE & ARCHITECTURE | weighted integration | multiple Kinect | COMPUTER SCIENCE, INFORMATION SYSTEMS | makerless motion capture | ENGINEERING, ELECTRICAL & ELECTRONIC
Journal Article
2016 IEEE International Conference on Image Processing (ICIP), ISSN 1522-4880, 09/2016, Volume 2016-, pp. 86 - 90
Since ultra-high-definition (UHD) display has larger resolution and various display size, it is necessary to measure image sharpness considering variation in... 
Geometry | perceptual sharpness | Visualization | Adaptation models | viewing geometry | Image edge detection | Discrete Fourier transforms | perceptual pooling | Spatial resolution | Image sharpness assessment | Perceptual sharpness | Perceptual pooling | Viewing geometry
Conference Proceeding
2017 IEEE International Conference on Image Processing (ICIP), ISSN 1522-4880, 09/2017, Volume 2017-, pp. 3180 - 3184
In this paper, we propose a convolutional neural network (CNN)-based no-reference image quality assessment (NR-IQA). Though deep learning has yielded superior... 
Measurement | Training | Image quality | deep learning | Correlation | Databases | Convolutional neural network | Machine learning | no-reference image quality assessment | Distortion | image quality assessment | Deep learning | Image quality assessment | No-reference image quality assessment
Conference Proceeding
Information Sciences, ISSN 0020-0255, 08/2017, Volume 396, pp. 33 - 54
In this paper, we propose an identification framework to determine copyright infringement in the form of illegally distributed print-scan books in a large... 
Image databases | Parallel databases | Image identification | Hierarchical search | Inverted index | MapReduce | IMAGES | COMPUTER SCIENCE, INFORMATION SYSTEMS | Copyright infringement | Electronic cameras | Equipment and supplies | Databases | Image processing | Analysis
Journal Article
2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), ISSN 1520-6149, 04/2018, Volume 2018-, pp. 6727 - 6731
Applying a deep convolutional neural network CNN to no-reference image quality assessment (NR-IQA) is a challenging task due to the lack of a training... 
Training | Image quality | Sensitivity | Databases | Convolutional neural network | Predictive models | no-reference image quality assessment | Distortion | image quality assessment | Reliability | Image quality assessment | No-reference image quality assessment
Conference Proceeding
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), ISSN 0302-9743, 2018, Volume 11205, pp. 224 - 241
Conference Proceeding
IEEE Signal Processing Magazine, ISSN 1053-5888, 11/2017, Volume 34, Issue 6, pp. 130 - 141
Convolutional neural networks (CNNs) have been shown to deliver standout performance on a wide variety of visual information processing applications. However,... 
Visualization | Computational modeling | Neural networks | Machine learning | Predictive models | Distortion | Feature extraction | Data models | PERCEPTUAL IMAGE | ENGINEERING, ELECTRICAL & ELECTRONIC
Journal Article
IEEE Access, ISSN 2169-3536, 2019, Volume 7, pp. 179304 - 179319
We propose a generative framework that tackles video frame interpolation. Conventionally, optical flow methods can solve the problem, but the perceptual... 
Frame synthesis | convolutional neural network | video processing | manifold learning | unsupervised learning
Journal Article
IEICE - Transactions on Fundamentals of Electronics, Communications and Computer Sciences, ISSN 0916-8508, 07/2015, Volume E98.A, Issue 9, pp. 2004 - 2008
Due to ease of implementation for various user interactive applications, much research on motion recognition has been completed using Kinect. However, one... 
Construction | Human motion | Skeletal representation | Mathematical analysis | Interactive | Sensors | Vectors (mathematics) | Motion perception
Journal Article
2014 IEEE International Conference on Image Processing (ICIP), ISSN 1522-4880, 10/2014, pp. 3484 - 3487
Crosstalk is one of the most annoying problems in an autostereoscopic display causing perceptual quality degradation and visual discomfort. To predict the... 
Measurement | Visualization | human visual system | Three-dimensional displays | Stereo image processing | Nonlinear distortion | Crosstalk | Quality assessment | Autostereoscopic display | crosstalk
Conference Proceeding
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