Abstract: Certain aspects of the present disclosure provide techniques for global motion modeling. Embodiments include receiving a first image and a second image from a camera attached to a moving object. Embodiments include identifying a pixel in the first image. Embodiments include determining, based on one or more parameters associated with the camera, a vector representing a range of locations in which a real-world point corresponding to the pixel is likely to be found in the second image, wherein the parameters associated with the camera comprise: a first parameter related to a location of the camera relative to a ground surface; a second parameter related to motion of the moving object; and a third parameter related to an orientation of the camera relative to the ground surface. Embodiments include determining, using the vector, a location of the real-world point in the second image.

Abstract: Methods and apparatus are disclosed for determining similarities and/or differences between entities in a segment of text based on various signals are presented, and for determining one or more likelihoods that one or more subjects found in a segment of text are capable of performing one or more associated actions based on various signals.

Abstract: Methods and apparatus are disclosed for determining similarities and/or differences between entities in a segment of text based on various signals are presented, and for determining one or more likelihoods that one or more subjects found in a segment of text are capable of performing one or more associated actions based on various signals.