Abstract: Provided is a system and method for generating a contextual segmentation challenge that poses an identification challenge. The method including obtaining at least one ad element and obtaining a test element. The ad element and the test element then combined to provide a composite image. At least one noise characteristic is then applied to the composite image. The composite image is then animated as a plurality of views as a contextual segmentation challenge. A system for performing the method is also provided.

Abstract: Provided is a system and method for generating a symbol identification challenge. The method includes receiving a plurality of symbols, e.g. a base symbol and a noise symbol. A first visual property and a second visual property is then applied to each received symbol. Each symbol is then transformed by transitioning the first visual property to the second visual property and the second visual property to the first visual property. A plurality of views is then generated by transitioning between the transformations of each symbol. An associated system for performing the method is also provided.

Abstract: Provided is a system and method for generating a representation of a symbol. The method includes receiving a base image symbol. The base image symbol is distinguished into a plurality of initial image components. The initial image components are mapped to a first plane defined by two perpendicular axes, a third axis being normal to the plane. A noise function is selected. A plurality of views are generated, each by applying the selected noise function to each initial image component to provide an adjusted image component, each adjusted image component offset from initial image component. The adjusted image components are collectively orthogonally projected into a viewing plane angled relative to the first plane. The plurality of views are output such as to a database or a display. An associated system for performing the method is also provided.