A method by a computing system of a device includes generating a plurality of fragments by rasterizing one or more geometries to be displayed by a set of pixels. A pixel of the set of pixels is associated with fragments of the plurality of fragments, each including edges covering at a least a portion of the pixel. The method further includes encoding each of the fragments to include a representation of the one or more edges, including (1) an orientation of the edge and (2) a pixel coverage associated with the edge. The method further includes determining one or more alpha values corresponding to the fragments based on the orientation and the pixel coverage associated with each of the one or more edges. The method thus includes generating a color value for the pixel based on the one or more a alpha values corresponding to the fragments.

A method by a computing system of a device includes generating a plurality of fragments by rasterizing one or more geometries to be displayed by a set of pixels. A pixel of the set of pixels is associated with fragments of the plurality of fragments, each including edges covering at a least a portion of the pixel. The method further includes encoding each of the fragments to include a representation of the one or more edges, including (1) an orientation of the edge and (2) a pixel coverage associated with the edge. The method further includes determining one or more alpha values corresponding to the fragments based on the orientation and the pixel coverage associated with each of the one or more edges. The method thus includes generating a color value for the pixel based on the one or more a alpha values corresponding to the fragments.

A system and method are presented that scans a vector graphics file for image elements that appear over a background image. The image elements represent individual objects and movement or actions for those objects. The image elements, each possibly represented by multiple shapes, arrows, lines, or shading, are identified and parsed into a standard class definition. In one embodiment, the class definitions and the rule set applied to perform this parsing are pre-defined according to the content of the SVG file. The image elements are then redrawn over a new background image, which has multiple segments that correspond to the original background image but where each segment has a different segment transformation that defines translation and/or scaling required to move between the image segments. The image elements are then scaled and translated according to the multiple segment transformations, and then are presented over the new background image.

A system and method are presented that scans a vector graphics file for image elements that appear over a background image. The image elements represent individual objects and movement or actions for those objects. The image elements, each possibly represented by multiple shapes, arrows, lines, or shading, are identified and parsed into a standard class definition. In one embodiment, the class definitions and the rule set applied to perform this parsing are pre-defined according to the content of the SVG file. The image elements are then redrawn over a new background image, which has multiple segments that correspond to the original background image but where each segment has a different segment transformation that defines translation and/or scaling required to move between the image segments. The image elements are then scaled and translated according to the multiple segment transformations, and then are presented over the new background image.

A video coder transforms, based on a difference between a bit depth of an initial luma sample and a bit depth of initial chroma samples, a set of initial samples to a set of modified samples. The set of initial samples may include the initial luma sample and the initial chroma samples. The initial chroma samples may include an initial Cb sample and an initial Cr sample. The set of modified samples may include a modified luma sample and modified chroma samples. The modified chroma samples may include a modified Cb sample and a modified Cr sample. Additionally, the video coder adds the modified samples to corresponding samples of a predictive block to produce reconstructed samples.

A video coder transforms, based on a difference between a bit depth of an initial luma sample and a bit depth of initial chroma samples, a set of initial samples to a set of modified samples. The set of initial samples may include the initial luma sample and the initial chroma samples. The initial chroma samples may include an initial Cb sample and an initial Cr sample. The set of modified samples may include a modified luma sample and modified chroma samples. The modified chroma samples may include a modified Cb sample and a modified Cr sample. Additionally, the video coder adds the modified samples to corresponding samples of a predictive block to produce reconstructed samples.

Aspects of the disclosure provide methods and apparatuses for mesh coding (encoding and/or decoding). In some examples, an apparatus for coding mesh includes processing circuitry. The processing circuitry decodes, using a point cloud compression (PCC) decoder and from a bitstream, a point cloud that includes first points corresponding to vertices in a three dimensional (3D) mesh frame. The 3D mesh frame represents a surface of an object with polygons. The processing circuitry decodes, from the bitstream, first connectivity information of the 3D mesh frame. The first connectivity information has been signaled in the bitstream. The processing circuitry infers, second connectivity information of the 3D mesh frame, from the first points of the point cloud. The second connectivity information is not signaled in the bitstream. The processing circuitry reconstructs the 3D mesh frame based on the point cloud, the first connectivity information and the second connectivity information.

Aspects of the disclosure provide methods and apparatuses for mesh coding (encoding and/or decoding). In some examples, an apparatus for coding mesh includes processing circuitry. The processing circuitry decodes, using a point cloud compression (PCC) decoder and from a bitstream, a point cloud that includes first points corresponding to vertices in a three dimensional (3D) mesh frame. The 3D mesh frame represents a surface of an object with polygons. The processing circuitry decodes, from the bitstream, first connectivity information of the 3D mesh frame. The first connectivity information has been signaled in the bitstream. The processing circuitry infers, second connectivity information of the 3D mesh frame, from the first points of the point cloud. The second connectivity information is not signaled in the bitstream. The processing circuitry reconstructs the 3D mesh frame based on the point cloud, the first connectivity information and the second connectivity information.

Described is compressing a digital representation of an object, wherein the object representation comprises image information items for the object that each specify a value of a measurand for the object at a defined position of the object. Compressing includes determining the object representation, determining a distance field from the image information items of the object representation that comprises a plurality of data points in a grid, the distance field assigns at least one distance value to each of the data points that in each case indicate the shortest distance of the data point from a closest material boundary of the object, determining a near region around a material boundary of the object, determining a sub-set of data points of the distance field which lie outside the near region, deleting the sub-set of data points, and saving the distance field in the form of a compressed object representation.

Described is compressing a digital representation of an object, wherein the object representation comprises image information items for the object that each specify a value of a measurand for the object at a defined position of the object. Compressing includes determining the object representation, determining a distance field from the image information items of the object representation that comprises a plurality of data points in a grid, the distance field assigns at least one distance value to each of the data points that in each case indicate the shortest distance of the data point from a closest material boundary of the object, determining a near region around a material boundary of the object, determining a sub-set of data points of the distance field which lie outside the near region, deleting the sub-set of data points, and saving the distance field in the form of a compressed object representation.