Research
Contents
- 1. Research Keyword
- 2. Research Field
- 3. Affiliated Society
- 4. Introduction of Research
- 4.1. A study for 3D CG video quality assessment with active shutter glasses method.
- 4.2. A study for 3D CG still image, frame image and video quality assessment for the changing of the camera interval and the coded degradation with 8 viewpoints lenticular lens method.
- 4.3. A study for the research and the assessment of 3D image and video including the visual performance and the individual characteristics.
- 4.4. A study for 3D CG image quality metrics by regions with 8 viewpoints parallax barrier method.
- 4.5. A study of 3D CG image quality evaluation for the number of viewpoints and the coded region including visible digital watermarking, and a study of 3D CG image quality evaluation including the arrangement of visible digital watermarking by frequency domain transformation with 8 viewpoints parallax barrier method.
- 4.6. A study for 3D CG image quality assessment by the contrast enhancement including S-CIELAB color space with 8 viewpoints parallax barrier method.
- 4.7. A study for multi-view 3D CG image quality evaluation including visible digital watermarking based on color information.
- 4.8. A study for multi-view 3D CG image quality evaluation including visible digital watermarking by regions.
- 4.9. A study for the application of classification algorithm for the Multi-view 3D CG and 5K image quality assessment.
- 4.10. A study on the multi-view 3D and high-definition image for Medical Application / A study on medical image diagnosis for automatic detection of coded defect region information.
- 4.11. A study on texture type classification based on texture analysis for HEVC image quality in the Shitsukan Research Database.
- 4.12. A study on optimal image representation based on sparse dictionary coding
Research Keyword
- Information Engineering, Information Science
- Multi-view 3D Image and Video
- 3D CG (Three-dimensional Computer Graphics), Texture Informatics
- Image Media Quality
- Image, Signal Processing, Digital Watermarking
- Image Analysis, Color Space, Color Management
- Picture Coding, Image Media Processing, Super-resolution
- Statistical Analysis, Data Mining, Deep Learning
- Human Interface Interaction, Medical Virtual Reality
- Medical System, Medical Imaging
Research Field
- Informatics / Perceptual information processing / Image Processing & Visual Media Processing & Media Database
- Informatics / Intelligent informatics / Machine Learning & Intelligent Information Processing & Data Mining
- Informatics / Biological, health, and medical informatics / Biological Information & Health Information & Medical Image
- Life sciences / Medical systems / Diagnostic Imaging System & Medical Information System & Computer Aided Surgery
- Manufacturing technology (mechanical, electrical/electronic, chemical engineering) / Communication and network engineering & Signal Processing & Network & Multimedia Communication
- Informatics / Human interfaces and interactions / Virtual Reality & Usability & Ergonomics & Human Factor
- Informatics / Information theory / Information Theory & Coding Theory & Learning Theory
- Informatics / Statistical science / Data Science & Modeling & Multivariate Analysis
- Informatics / Computer systems / Circuits and System & Hardware and Software co-design & Embedded System
- Informatics / Entertainment and game informatics / 3D Contents & Animation & Media Art
Affiliated Society
- The Institute of Image Information and Television Engineers (ITE) (Member, from February 2011)
- The Institute of Electronics, Information and Communication Engineers (IEICE) (Member, from August 2013)
- The Institute of Electrical and Electronics Engineers (IEEE), Signal Processing Society (Member, from February 2014)
- The Institute of Image Electronics Engineers of Japan (IIEEJ) (Member, from April 2015)
- The Institute of Information Processing Society of Japan (IPSJ) (Member, from January 2017)
- The Japanese Society of Medical Imaging Technology (JAMIT) (Member, from April 2018)
- The Japan Society of Computer Aided Surgery (JSCAS) (Member, from July 2018)
- The International Society for Optical Engineering (SPIE)
- Japan Association for Medical Informatics (JAMI)
- Society for Imaging Science and Technology (IS&T)
Introduction of Research
A study for 3D CG video quality assessment with active shutter glasses method.
Recently, we have a good chance to watch three-dimensional movies at home or movie theater. However, there are various form of stereogram or display style, and these are not unified officially yet. In addition, there is no standardization for evaluating objective video quality of three-dimensional movies. For constructing a better viewing environment, a suitable viewing condition about the presence and the depth of the stereoscopic vision should be known. In this paper, for finding out the better viewing conditions, we experimented video quality evaluation of three-dimensional CG movies with active shutter glasses. Also, the comparison of video quality between 3D CG video and 2D CG video, 3D natural video, and 3D CG video including difference of left or right encoding bit rate, are also considered.
A study for 3D CG still image, frame image and video quality assessment for the changing of the camera interval and the coded degradation with 8 viewpoints lenticular lens method.
A study for the research and the assessment of 3D image and video including the visual performance and the individual characteristics.
A study for 3D CG image quality metrics by regions with 8 viewpoints parallax barrier method.
A study of 3D CG image quality evaluation for the number of viewpoints and the coded region including visible digital watermarking, and a study of 3D CG image quality evaluation including the arrangement of visible digital watermarking by frequency domain transformation with 8 viewpoints parallax barrier method.
A study for 3D CG image quality assessment by the contrast enhancement including S-CIELAB color space with 8 viewpoints parallax barrier method.
A study for multi-view 3D CG image quality evaluation including visible digital watermarking based on color information.
A study for multi-view 3D CG image quality evaluation including visible digital watermarking by regions.
A study for the application of classification algorithm for the Multi-view 3D CG and 5K image quality assessment.
A study on the multi-view 3D and high-definition image for Medical Application / A study on medical image diagnosis for automatic detection of coded defect region information.
A study on texture type classification based on texture analysis for HEVC image quality in the Shitsukan Research Database.
A study on optimal image representation based on sparse dictionary coding
Under Construction.