Abstract: Methods and apparatus for visual saliency estimation for images and video are described. In an embodiment, a process includes decomposing, by a processor, an image into elements, wherein each element includes at least one pixel. The processor then calculates a first image measure indicative of each element's uniqueness in the image on a per element basis, and a second image measure indicative of each element's spatial distribution in the image on a per element basis. A per element saliency measure is provided by combining the first image measure and the second image measure, or by utilizing the first image measure, or by utilizing the second image measure.

Abstract: Methods and apparatus for visual saliency estimation for images and video are described. In an embodiment, a process includes decomposing, by a processor, an image into elements, wherein each element includes at least one pixel. The processor then calculates a first image measure indicative of each element's uniqueness in the image on a per element basis, and a second image measure indicative of each element's spatial distribution in the image on a per element basis. A per element saliency measure is provided by combining the first image measure and the second image measure, or by utilizing the first image measure, or by utilizing the second image measure.

Abstract: Techniques are disclosed for controlling robot pixels to display a visual representation of a real-world video texture. Mobile robots with controllable color may generate visual representations of the real-world video texture to create an effect like fire, sunlight on water, leaves fluttering in sunlight, a wheat field swaying in the wind, crowd flow in a busy city, and clouds in the sky. The robot pixels function as a display device for a given allocation of robot pixels. Techniques are also disclosed for distributed collision avoidance among multiple non-holonomic and holonomic robots to guarantee smooth and collision-free motions.