After collecting in the classification of these visual incident ,then the article utilizes the way of comparison to compare visual form on the network platform to that of traditional media, so that to highlight characteristics of Network Vision Culture Communication.
This article attempts to connect the arrangement innovation patterns with the reformationof television news, according to the characteristic of the vision culture times, from thetraditional news arrangement based on the cognition of significance, to the news optimumcomposition in the news column competition, and to the scale effect of channel arrangement,makes a systemic discussion.
The vision is the main media through which the mankind obtains external information. The goal of visual transmis sion should not only finish the transmission of simple visual information, but also infect and satisfy the audience in the emotion and realize the visual communication.
A simulated example is also given to show the visual performance of the estimations.
The copolyimides were characterized by Infra-red (IR), Nuclear Magnetic Resonance (NMR), Gel Permeation Chromatography (GPC), Ultraviolet Visual (UV-Vis), Thermogravimetic Analysis (TGA) and Dynamic Mechanical Analysis (DMA).
By using Visual C++ programming to simulate the performance, the result indicates that when code length N = 3,072 and code rate R = 1/3, the difference with the Shannon limit is about 2 dB.
The purpose of this paper is to improve the performance and robustness of VAD by introducing visual information.
Meanwhile, data-driven linear transformation is adopted in visual feature extraction, and a general statistical VAD model is designed.
Geometric Fourier Analysis for Computational Vision
The recognition of 3-D objects is quite a difficult task for computer vision systems.
Due to these favorable characteristics, the processed images turn much clearer and smoother, meanwhile, their significant details are kept, which results in appealing vision.
Although computer stereo vision techniques for collecting parameters of a single stem shape are comparative, complicated, and expensive, research indicates the efficiently and feasibility of close-range photogrammetry for stem image information.
Methods of computer vision, image processing and wavelet analysis technology were used to compress, filter, segment, abate noise and capture the outline of the picture.
Efficiency of the Human Visual System in Discrimination of Dynamic Images
The efficiency of the human visual system during the observation of motionless test objects with additive dynamic Gaussian quasi-white noise was studied.
Efficiency of the Human Visual System in Recognition of Moving Objects
The relationships studied between the efficiency of the human visual system for recognition of moving objects in the presence of dynamic additive quasi-white Gaussian noise and the duration of object presentation are studied.
The comparisons are made using the mean square error, the mean absolute error, and a subjective human visual error criterion.