Abstract
Visual sensors provide us with a wealth of multimedia data; one of the core parts of VR technology is to present people with a real and immersive simulation environment; the application of this technology makes the human narrative to achieve visual transformation and further strengthens the central position of visual culture. This paper studies the field of visual culture from two aspects of visual sensor and VR. In this paper, the HSV color model models task processing problems in visual sensor networks using separable load theory and studies ways to seek optimal task scheduling strategies to minimize the completion time of the visual task. This paper mainly uses literature research method, questionnaire survey method, and statistical analysis method to design a model image output process to explore the application of visual culture under the development of visual sensor and VR and analyzes the development status of film, game, and cultural tourism industry VR in the field of visual culture. Questionnaire data show that compared with traditional video games, more people chose games under the application of VR technology for entertainment; in VR game experience, more than 70% are satisfied with game color and style, operation form, scene design, and experience of VR game itself, which shows to some extent the role of visual sensor and VR in visual culture.
Highlights
In the context of globalization, the unique visual culture is facing the impact of global culture
We model the task processing problem in a visual sensor network using separable load theory and study methods that seek optimal task scheduling strategies to minimize the completion time of the visual task [11]
Experiments have proved that the visual sensor shows the image error as shown in Table 1: The data in the above table is evaluated for this paper algorithm with the standard dataset and adopts the standard dataset collected with high-precision cameras and inertial sensors, and the resulting deviation from the true trajectory is in the acceptable range
Summary
In the context of globalization, the unique visual culture is facing the impact of global culture. LeneroBardallo proposes a new event-based visual sensor with two operating modes, intensity mode and spatial contrast detection. These can be used in conjunction with two different readout methods, pulse density modulation and first spike time. In their study, the sensor is prone to mismatch effect, too many variables involved in intensity mode and spatial contrast detection; the contrast detection research is difficult, due to the mismatch between the transmission and computing resources and the complexity of the visual analysis task; it is difficult to seek the optimal scheduling strategy to minimize the completion time of the visual task, the data in the detection process, so the experimental results are not rigorous and the authenticity of the experiment has yet to be studied.
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