Abstract: Novel systems and methods are described for creating, compressing, and distributing video or image content graded for a plurality of displays with different dynamic ranges. In implementations, the created content is “continuous dynamic range” (CDR) content—a novel representation of pixel-luminance as a function of display dynamic range. The creation of the CDR content includes grading a source content for a minimum dynamic range and a maximum dynamic range, and defining a luminance of each pixel of an image or video frame of the source content as a continuous function between the minimum and the maximum dynamic ranges. In additional implementations, a novel graphical user interface for creating and editing the CDR content is described.

Abstract: Novel systems and methods are described for creating, compressing, and distributing video or image content graded for a plurality of displays with different dynamic ranges. In implementations, the created content is “continuous dynamic range” (CDR) content—a novel representation of pixel-luminance as a function of display dynamic range. The creation of the CDR content includes grading a source content for a minimum dynamic range and a maximum dynamic range, and defining a luminance of each pixel of an image or video frame of the source content as a continuous function between the minimum and the maximum dynamic ranges. In additional implementations, a novel graphical user interface for creating and editing the CDR content is described.

Abstract: Novel systems and methods are described for creating, compressing, and distributing video or image content graded for a plurality of displays with different dynamic ranges. In implementations, the created content is “continuous dynamic range” (CDR) content—a novel representation of pixel-luminance as a function of display dynamic range. The creation of the CDR content includes grading a source content for a minimum dynamic range and a maximum dynamic range, and defining a luminance of each pixel of an image or video frame of the source content as a continuous function between the minimum and the maximum dynamic ranges. In additional implementations, a novel graphical user interface for creating and editing the CDR content is described.

Abstract: A method including receiving a first image of a scene captured from a first perspective, the first image including an object and a background; segmenting the first image to extract a first two-dimensional contour of the object; approximating a plurality of three-dimensional locations of a plurality of points on the first contour; generating a three-dimensional billboard of the object based on the three-dimensional locations; and projecting the first image onto the three-dimensional billboard.

Abstract: Novel systems and methods are described for creating, compressing, and distributing video or image content graded for a plurality of displays with different dynamic ranges. In implementations, the created content is “continuous dynamic range” (CDR) content—a novel representation of pixel-luminance as a function of display dynamic range. The creation of the CDR content includes grading a source content for a minimum dynamic range and a maximum dynamic range, and defining a luminance of each pixel of an image or video frame of the source content as a continuous function between the minimum and the maximum dynamic ranges. In additional implementations, a novel graphical user interface for creating and editing the CDR content is described.

Abstract: Approaches are described for tone-mapping an image frame in a sequence of image frames. A tone-mapping pipeline applies a spatiotemporal filter to each pixel of the image frame, based on a forward optical flow and a backward optical flow, to produce a base layer image. The tone-mapping pipeline applies a temporal filter to each pixel of the image frame, based on the forward and backward optical flows, to produce a temporally filtered frame. The tone-mapping pipeline produces a detail layer image based on the base layer image and the temporally filtered frame. The tone-mapping pipeline produces a detail layer image based on the base layer image and the temporally filtered frame. The tone-mapping pipeline applies a tone curve to the base and detail layer images to produce a tone-mapped base and detail layer image, respectively, and combines the tone-mapped base and detail layer images to produce a tone-mapped image frame.

Abstract: Approaches are described for filtering a first image frame in a sequence of image frames. A tone-mapping pipeline applies a spatiotemporal filter to each pixel of the first image frame, based on a forward optical flow and a backward optical flow, to produce a base layer image. The tone-mapping pipeline applies a temporal filter to each pixel of the first image frame, based on the forward optical flow and the backward optical flow, to produce a temporally filtered frame. The tone-mapping pipeline produces a detail layer image based on the base layer image and the temporally filtered frame.

Abstract: Approaches are described for filtering a first image frame in a sequence of image frames. A tone-mapping pipeline applies a spatiotemporal filter to each pixel of the first image frame, based on a forward optical flow and a backward optical flow, to produce a base layer image. The tone-mapping pipeline applies a temporal filter to each pixel of the first image frame, based on the forward optical flow and the backward optical flow, to produce a temporally filtered frame. The tone-mapping pipeline produces a detail layer image based on the base layer image and the temporally filtered frame.

Abstract: Approaches are described for tone-mapping an image frame in a sequence of image frames. A tone-mapping pipeline applies a spatiotemporal filter to each pixel of the image frame, based on a forward optical flow and a backward optical flow, to produce a base layer image. The tone-mapping pipeline applies a temporal filter to each pixel of the image frame, based on the forward and backward optical flows, to produce a temporally filtered frame. The tone-mapping pipeline produces a detail layer image based on the base layer image and the temporally filtered frame. The tone-mapping pipeline produces a detail layer image based on the base layer image and the temporally filtered frame. The tone-mapping pipeline applies a tone curve to the base and detail layer images to produce a tone-mapped base and detail layer image, respectively, and combines the tone-mapped base and detail layer images to produce a tone-mapped image frame.

Abstract: A method including receiving a first image of a scene captured from a first perspective, the first image including an object and a background; segmenting the first image to extract a first two-dimensional contour of the object; approximating a plurality of three-dimensional locations of a plurality of points on the first contour; generating a three-dimensional billboard of the object based on the three-dimensional locations; and projecting the first image onto the three-dimensional billboard.