Abstract: In one example, the present disclosure describes a device, computer-readable medium, and method for image format conversion using luminance-adaptive dithering. For instance, in one example, a method includes acquiring an image in a first format, wherein the first format is associated with a first electro-optical transfer function, identifying a second format to which to convert the image, wherein the second format is associated with a second electro-optical transfer function, and applying dithering to the image in the second format, based on an evaluation of a luminance-dependent metric against a predefined threshold, wherein the luminance-dependent metric is computed from at least one of the first electro-optical transfer function and the second electro-optical transfer function.

Abstract: A processing system may identify at least one feature set of a first video program, the at least one feature set including a complexity factor, obtain predicted visual qualities for candidate bitrate and resolution combinations of the first video program by applying the at least one feature set to a prediction model that is trained to output the predicted visual qualities for the candidate bitrate and resolution combinations of the first video program in accordance with the at least one feature set, select a bitrate and resolution combination for at least one variant of the first video program in accordance with the predicted visual qualities for the candidate bitrate and resolution combinations of the first video program, and transcode the at least one variant of the first video program in accordance with the bitrate and resolution combination that is selected for the at least one variant.

Abstract: In one example, the present disclosure describes a device, computer-readable medium, and method for image format conversion using luminance-adaptive dithering. For instance, in one example, a method includes acquiring an image in a first format, wherein the first format is associated with a first electro-optical transfer function, identifying a second format to which to convert the image, wherein the second format is associated with a second electro-optical transfer function, and applying dithering to the image in the second format, based on an evaluation of a luminance-dependent metric against a predefined threshold, wherein the luminance-dependent metric is computed from at least one of the first electro-optical transfer function and the second electro-optical transfer function.

Abstract: In one example, the present disclosure describes a device, computer-readable medium, and method for image format conversion using luminance-adaptive dithering. For instance, in one example, a method includes acquiring an image in a first format, wherein the first format is associated with a first electro-optical transfer function, identifying a second format to which to convert the image, wherein the second format is associated with a second electro-optical transfer function, and applying dithering to the image in the second format, based on an evaluation of a luminance-dependent metric against a predefined threshold, wherein the luminance-dependent metric is computed from at least one of the first electro-optical transfer function and the second electro-optical transfer function.

Abstract: An example method performed by a processing system includes detecting a first scene cut in a source video that is provided as an input to a video distribution system. The video distribution system includes a plurality of processing stages for transforming the source video into a processed video that is suitable for distribution to viewers. The first scene cut is detected in the processed video that is output by the video distribution system. The processed video is a version of the source video that has been altered according to at least one of the plurality of processing stages. A first sub-segment of the source video is time-aligned with a second sub-segment of the processed video, using the first scene cut as a reference point for performing the time-aligning. A difference is computed between a picture quality metric of the first sub-segment and a picture quality metric of the second sub-segment.

Abstract: In one example, the present disclosure describes a device, computer-readable medium, and method for image format conversion using luminance-adaptive dithering. For instance, in one example, a method includes acquiring an image in a first format, wherein the first format is associated with a first electro-optical transfer function, identifying a second format to which to convert the image, wherein the second format is associated with a second electro-optical transfer function, and applying dithering to the image in the second format, based on an evaluation of a luminance-dependent metric against a predefined threshold, wherein the luminance-dependent metric is computed from at least one of the first electro-optical transfer function and the second electro-optical transfer function.

Abstract: In one example, the present disclosure describes a device, computer-readable medium, and method for image format conversion using luminance-adaptive dithering. For instance, in one example, a method includes acquiring an image in a first format, wherein the first format is associated with a first electro-optical transfer function, identifying a second format to which to convert the image, wherein the second format is associated with a second electro-optical transfer function, and applying dithering to the image in the second format, based on an evaluation of a luminance-dependent metric against a predefined threshold, wherein the luminance-dependent metric is computed from at least one of the first electro-optical transfer function and the second electro-optical transfer function.

Abstract: Aspects of the subject disclosure may include, for example, a method including obtaining media content and a ranking for each tile of the media content based on a plurality of viewports; receiving a request from user equipment to view the media content; obtaining, iteratively, a plurality for predicted fields of view of the user, the predicted fields of view each covering different future time periods; identifying viewports corresponding to the predicted fields of view; sending any remaining tiles corresponding to the closest in time predicted field of view to the user equipment; and sending remaining tiles corresponding to successive predicted fields of view to the user equipment the ranking based and an excess bandwidth. Other embodiments are disclosed.

Abstract: Aspects of the subject disclosure may include, for example, a method including obtaining media content and a ranking for each tile of the media content based on a plurality of viewports; receiving a request from user equipment to view the media content; obtaining, iteratively, a plurality for predicted fields of view of the user, the predicted fields of view each covering different future time periods; identifying viewports corresponding to the predicted fields of view; sending any remaining tiles corresponding to the closest in time predicted field of view to the user equipment; and sending remaining tiles corresponding to successive predicted fields of view to the user equipment the ranking based and an excess bandwidth. Other embodiments are disclosed.

Abstract: In one example, the present disclosure describes a device, computer-readable medium, and method for image format conversion using luminance-adaptive dithering. For instance, in one example, a method includes acquiring an image in a first format, wherein the first format is associated with a first electro-optical transfer function, identifying a second format to which to convert the image, wherein the second format is associated with a second electro-optical transfer function, and applying dithering to the image in the second format, based on an evaluation of a luminance-dependent metric against a predefined threshold, wherein the luminance-dependent metric is computed from at least one of the first electro-optical transfer function and the second electro-optical transfer function.

Abstract: A video base layer can contain information pertaining to frame-compatible interlace representations of multiple data categories while video enhancement layers can contain interlace or progressive representations and/or frame-compatible representations of these data categories. Video data are encoded and decoded using layered approaches.

Abstract: A video base layer can contain information pertaining to frame-compatible interlace representations of multiple data categories while video enhancement layers can contain interlace or progressive representations and/or frame-compatible representations of these data categories. Video data are encoded and decoded using layered approaches.

Abstract: Conversion of interleaved data and/or correction of color samples or other data are corrected by recognizing an underlying arrangement or format of different data sets within a data stream and a conversion process applied that causes bleeding between the sets The data sets are, for example, separate channel views of a 3D display, and the corruption occurs, for example, upon up-conversion of color samples that take into account both views together rather than individually. The invention is embodied, for example, as part of a playback device, display, or as a stand alone converter box that corrects the corrupted samples by at least one of substitution, filtering, or interpolation with appropriately selected samples (e.g., neighboring samples of a same view). In one embodiment, the invention comprises a conversion from a received format (e.g., checkerboard) to a delivery format (e.g., native format of a 3D ready display).

Abstract: A video base layer can contain information pertaining to frame-compatible interlace representations of multiple data categories while video enhancement layers can contain interlace or progressive representations and/or frame-compatible representations of these data categories. Video data are encoded and decoded using layered approaches.

Abstract: A video base layer can contain information pertaining to frame-compatible interlace representations of multiple data categories while video enhancement layers can contain interlace or progressive representations and/or frame-compatible representations of these data categories. Video data are encoded and decoded using layered approaches.

Abstract: Conversion of interleaved data and/or correction of color samples or other data are corrected by recognizing an underlying arrangement or format of different data sets within a data stream and a conversion process applied that causes bleeding between the sets The data sets are, for example, separate channel views of a 3D display, and the corruption occurs, for example, upon up-conversion of color samples that take into account both views together rather than individually. The invention is embodied, for example, as part of a playback device, display, or as a stand alone converter box that corrects the corrupted samples by at least one of substitution, filtering, or interpolation with appropriately selected samples (e.g., neighboring samples of a same view). In one embodiment, the invention comprises a conversion from a received format (e.g., checkerboard) to a delivery format (e.g., native format of a 3D ready display).