Abstract:
Provided are techniques for low complexity video coding. For example, a video coder may be configured to calculate a first sum of absolute difference (SAD) value between a CU block and a corresponding block in a reference frame for the largest coding unit (LCU). The video coder may define conditions (e.g., background and/or homogeneous conditions) for the branching based at least in part on the first SAD value. The video coder may also determine the branching based on detecting the background or homogeneous condition, the branching including a first branch corresponding to both a first CU size of the CU block and a second CU size of a sub-block of the CU block. The video coder may then set the first branch to correspond to the first CU size, if the first CU size or the second CU size satisfies the background condition.
Abstract:
This disclosure relates to processing video data, including processing video data to conform to a high dynamic range (HDR)/wide color gamut (WCG) color container. The techniques apply, on an encoding side, pre-processing of color values prior to application of a static transfer function and/or apply post-processing on the output from the application of the static transfer function. By applying pre-processing, the examples may generate color values that when compacted into a different dynamic range by application of the static transfer function linearize the output codewords. By applying post-processing, the examples may increase signal to quantization noise ratio. The examples may apply the inverse of the operations on the encoding side on the decoding side to reconstruct the color values.
Abstract:
A device may determine, based on data in a bitstream, a luma sample (Y) of a pixel, a Cb sample of the pixel, and the Cr sample of the pixel. Furthermore, the device may obtain, from the bitstream, a first scaling factor and a second scaling factor. Additionally, the device may determine, based on the first scaling factor, the Cb sample for the pixel, and Y, a converted B sample (B′) for the pixel. The device may determine, based on the second scaling factor, the Cr sample for the pixel, and Y, a converted R sample (R′) for the pixel. The device may apply an electro-optical transfer function (EOTF) to convert Y′, R′, and B′ to a luminance sample for the pixel, a R sample for the pixel, and a B sample for the pixel, respectively.
Abstract:
This disclosure relates to processing video data, including processing video data to conform to a high dynamic range/wide color gamut (HDR/WCG) color container. As will be explained in more detail below, the techniques of the disclosure including dynamic range adjustment (DRA) parameters and apply the DRA parameters to video data in order to make better use of an HDR/WCG color container. The techniques of this disclosure may also include signaling syntax elements that allow a video decoder or video post processing device to reverse the DRA techniques of this disclosure to reconstruct the original or native color container of the video data.
Abstract:
Provided are techniques for low complexity video coding. For example, a video coder may be configured to calculate a first sum of absolute difference (SAD) value between a CU block and a corresponding block in a reference frame for the largest coding unit (LCU). The video coder may define conditions (e.g., background and/or homogeneous conditions) for the branching based at least in part on the first SAD value. The video coder may also determine the branching based on detecting the background or homogeneous condition, the branching including a first branch corresponding to both a first CU size of the CU block and a second CU size of a sub-block of the CU block. The video coder may then set the first branch to correspond to the first CU size, if the first CU size or the second CU size satisfies the background condition.
Abstract:
A video coder may determine a motion vector of a non-adjacent block of a current picture of the video data. The non-adjacent block is non-adjacent to a current block of the current picture. Furthermore, the video coder determines, based on the motion vector of the non-adjacent block, a motion vector predictor (MVP) for the current block. The video coder may determine a motion vector of the current block. The video coder may also determine a predictive block based on the motion vector of the current block.
Abstract:
A video coder may determine a motion vector of a non-adjacent block of a current picture of the video data. The non-adjacent block is non-adjacent to a current block of the current picture. Furthermore, the video coder determines, based on the motion vector of the non-adjacent block, a motion vector predictor (MVP) for the current block. The video coder may determine a motion vector of the current block. The video coder may also determine a predictive block based on the motion vector of the current block.
Abstract:
This disclosure relates to processing video data, including processing video data that is represented by an HDR/WCG color representation. In accordance with one or more aspects of the present disclosure, one or more syntax structures may be used to signal syntax elements and or other information that allow a video decoder or video postprocessing device to reverse the dynamic range adjustment (DRA) techniques of this disclosure to reconstruct the original or native color representation of the video data. Dynamic range adjustment (DRA) parameters may be applied to video data in accordance with one or more aspects of this disclosure in order to make better use of an HDR/WCG color representation, and may include the use of global offset values, as well as local scale and offset values for partitions of color component values.
Abstract:
A method of decoding video data includes constructing a motion vector candidate list of merge candidates for the current block of video data based on motion information from a number of neighboring blocks relative to the current block, wherein the number of neighboring blocks considered for the motion vector candidate list is based on the size of the current block, and wherein the number of neighboring blocks is greater than 5. In some examples, the method includes deriving a histogram of motion vector information for the neighboring blocks, and constructing the motion vector candidate list based on the derived histogram.
Abstract:
Processing high dynamic range and or wide color gamut video data using a fixed-point implementation. A method of processing video data may include receiving one or more supplemental enhancement information (SEI) messages that contain information specifying how to determine parameters for performing an inverse dynamic range adjustment process, receiving decoded video data, and performing the inverse dynamic range adjustment process on the decoded video data using fixed-point computing in accordance with the information in the one or more SEI messages.