Video—Geographic Scene Fusion Expression Based on Eye Movement Data

Video–geographic scene fusion is the development trend in surveillance video systems. How to analyze the influence of various factors on the fusion expression effect is of great significance. In this paper, we select video compression state, video scene fusion expression and viewer features as the impact factors of fusion expression visualization. And the influence of above factors was analyzed systematically by eye movement experiment. Experimental results show that these three factors have a certain impact on the video–geographic scene fusion expression effect. The expression effect of uncompressed video is better than that of compressed video. No significant difference exists between the embedded and foreground projection, but a significant difference exists between the correlation and the previous two expressions. In terms of viewer features, we take gender factors into account in this paper. Under the condition of normal corrected vision and the same age, the accuracy of information received by women is higher than that of men based on the gender analysis of the observer.