Abstract: Systems and methods herein address reference frame selection in video streaming applications using one or more processing units to identify a frame of a sequence of frames as a blurred frame based at least in part on a first variance of motion (VoM) of the frame being less than or equal to an adaptive threshold that is based in part on a moving average of variance of motion (MAoV) determined using one or more reference frames.

Abstract: Systems and methods herein address reference frame selection in video streaming applications using one or more processing units to replace, during receipt of an encoded video stream, a first set of frames stored in a cache with a second set of frames based at least in part on an indication within the encoded video stream that the second set of frames includes a non-blurred frame (NBF).

Abstract: Apparatuses, systems, and techniques are presented to track objects represented in images or video data. In at least one embodiment, motion of one or more objects within a plurality of digital images is determined based, at least in part, on flow information corresponding to the one or more objects.

Abstract: Apparatuses, systems, and techniques to interpolate one or more intermediate images from two or more images is disclosed. In at least one embodiment, a processor includes one or more circuits to interpolate one or more intermediate images from two or more images based, at least in part, on one or more inconsistent flow vectors corresponding to the two or more images.

Abstract: Apparatuses, systems, and techniques are presented to track objects represented in images or video data. In at least one embodiment, motion information corresponding to one or more objects within one or more digital images is used to determine a representative set of motion information corresponding to the motion information for the one or more objects.