Abstract
Emerging image is the visual phenomenon allowing spectators to recognize the objects in a seemingly meaningless image by aggregating and perceiving information that is meaningful as a whole. Emerging video refers to emerging images in a dynamic range. While watching emerging video, the spectators can only distinguish the meaningful object when the clip is playing. Otherwise, what they see would be just some disorganized information. The ability of perceiving comprehensive information in either emerging image or video renders emergence an effective scheme to tell humans apart from machines, which can also been studied and analyzed through visual psychology. Recently, in the field of Computer Graphics, designing the automation algorithms to reproduce the illusion of art and applying such special algorithms in photography, video and animations become rather prevalent. The thesis provides a relatively systematical and automatic way to generate and synthesize emerging image and video through the user input and the Web crawler. Moreover, as the thesis proved, it is believed that emerging image has the potential of being a promising and pioneering CAPTCHA system. Also, based on the thesis’ suggestion, emerging video can server as one of the important research materials while studying Biological Motion and as an illustration style of non-photorealistic rendering.