Pointing plays most important role in recent computer operations under GUI environments, but the physical loads are concentrated to operators' arms and hands, in addition to vision. In order to reduce the loads, foot-operated pointing devices have been studied. In this study, we developed a pointing device operated by both feet. A plate is inclined by feet, and its inclination angle is converted to the velocity of pointer. Human operational performances related to sensitivities of pointer movement and inclination were measured. As a result, an optimum condition on these parameters were found.
A viewer usually does not perceive everything in a picture. What objects in the picture the viewer perceives depends on the structures in the view, the meanings of the objects, the mental condition of the viewer (demanding, interested, etc.) and so on. If it is assumed that the impressions of viewer are determined by what objects he or she pays attention to, highly attractive regions of a picture would have a lot of information that contribute to the impressions. Consequently, by analyzing those regions, it is possible to predict the impressions of viewer within a reasonable error. This paper proposes a method for extracting attractive regions in a picture. This method extracts attractive regions by evaluating the attractiveness of each segmented region. For the evaluation, we defined an evaluation function based on hue, satulation, lightness and size of the region, as well as, color difference between the region and its surroundings. In our experiments, the proposed method could extract attractive regions precisely.
MPEG-2,as an international coding standard, has introduced an era of digital video. With this technology, video signal can be efficiently handled as a compressed digital video data. However degradation in picture quality is caused by this compression process and has been widely concerned because it is very new for human eyes and sometimes so annoying. Therefore an objective quality assessment scheme for degradation by digital compression has been regarded as an crucial issue and research activities on this field have been recently accelerated. In this paper, research trends and standardization activities of objective quality assessment scheme are described. And also we have proposed the three-layered bottom-up noise weighting model, and its' implementation is described.
The mechanism of viewing which arises picture quality impairment observed when motion pictures are displayed on a hold type display such as a TFT-LCD has been studied. At first, we assume two models of visual system, estimate theoretical outputs of models and investigate which model is more proper as a viewing mechanism by subjective tests. As a result, it became clear that it is more possibility that the effect of temporal summation of the visual system work first for the observed motion picture, and secondly the picture is processed by the visual nonlinearities. It is also clear that a effective MTF for observed pictures has a nearly sin x/x characteristic which vary with moving velocities of pictures.
This time, subjectivity evaluation performed with three cameras arrangement shooting three dolls in studio, about feeling of size, feeling of depth, feeling of position, for examining most suitable cameras arrangement at the time of making 3D-program, although tried that with shooting the stage of actual operetta previously. Consequently, cameras arrangement in center series has verified by average value on the subjectivity evaluation that it was arrangement which looks the most natural like the result obtained on the previous stage.
In order to estimate the degradation of picture quality of a stereoscopic image reconstructed with a monocular image and the disparity data that have some fluctuations, a series of experiments are carried out. The results show that the degradation is most sensitively detected when the spatial frequency of the fluctuation is about 1/12 cycle/min. At the same time, it is shown that the minimum threshold of detecting the fluctuation is varied in inverse proportion to the visual acuity of viewers, and the threshold is about 1/6 min (peak-to-peak) when the averaged visual acuity is 1.20.