Dr Anastasia Mozhaeva, Eastern Institute of Technology
Dr Igor Vlasuyk, Moscow Technical University of Communications and Informatics
Dr Lee Streeter, The University Waikato
Associate Professor Michael Cree, The University Waikato
Aleksei Potashnikov, Moscow Technical University of Communications and Informatics
BCS Student Sabian Richard Coomber, Eastern Institute of Technology
Primary contact: Anastasia Mozhaeva amozhaeva@eit.ac.nz
Abstract:
Based on research on the limit to human vision, we offer a method, software, and test equipment for researching and measuring the characteristics of human visual systems. This set forms and evaluates stimuli with a specified combination of spatial, temporal, and color characteristics, which differ in a narrow enough spectrum for measurement.
Central Vision:
Digital video incurs many distortions during processing, compression, storage, and transmission, which can reduce perceived video quality. Developing adaptive video transmission methods that provide increased bandwidth and reduced storage space while preserving visual quality requires quality metrics that accurately describe how people perceive distortion. A severe problem for developing new video quality metrics is the limited data on how the early human visual system simultaneously processes spatial and temporal information. The problem is exacerbated by the fact that the few data collected in the middle of the last century do not consider current display equipment and are subject to medical intervention during collection, which does not guarantee a proper description of the conditions under which media content is currently consumed. Here, we represent a new method using different spatial sizes and temporal modulation rates for measuring human vision systems characteristics.
Materials:
Mozhaeva A, Vlasuyk I, Potashnikov A, Cree M, Streeter L (2021). The method and devices for research the parameters of the human visual system to video quality assessment. Systems of Signals Generating and Processing in the Field of on Board Communications, pp. 1-5. https://doi.org/10.1109/IEEECONF51389.2021.9416081
Peripheral Characteristics of Human Vision:
New wide field-of-view content displays require an understanding of how the human visual system perceives temporal frequency in peripheral areas. Human visual models have proven successful in describing temporal coding in central human vision. However, the question of how the visual regions of the human brain process temporal information in peripheral areas has received much less attention. A significant problem in developing new wide field-of-view content displays is the lack of knowledge about the perception of temporal frequency in peripheral areas by the human visual system. This work creates a new method of measuring thresholds of the visibility of temporal frequency in peripheral areas using different temporal modulation rates.
Materials:
Vlasuyk I, Potashnikov A, Mazin V, Mozhaeva A, Egorov D (2024). A Measurement Method and a Mathematical Model of the Human Vision System's Temporal Peripheral Characteristics, Systems of Signals Generating and Processing in the Field of on Board Communications, pp. 1-7. doi:10.1109/IEEECONF60226.2024.10496740
Additional materials:
Mazin V, Cree MJ, Streeter L, Nezhivleva K, Mozhaeva A (2023). Research and application of the adaptive model of the human visual system for improving the effectiveness of objective video quality metrics. 33rd Conference of Open Innovations Association FRUCT, pp.192-197. doi: 10.23919/FRUCT58615.2023.10142993
Egorova A, Baryshev R, Mozhaeva A (2023). Methodology of researching perception identity of regions of users' interests while viewing streaming video containing various content and compression artefacts. Systems of Signals Generating and Processing in the Field of on Board Communications, pp. 114-120. https://doi.org/10.1109/IEEECONF56737.2023.10092038
