Abstract:
According to certain aspects, an apparatus for coding video data includes a memory for storing the video data and a processor. The memory includes a buffer. The processor is configured to receive the video data to be coded. The processor is further configured to determine a Lagrangian parameter for a coding mode based at least in part on a bit rate of the coding mode and a fullness of the buffer.
Abstract:
An apparatus for coding video data according to certain aspects includes a memory for storing the video data and a processor. The memory includes a buffer. The processor is configured to receive the video data to be coded. The processor is further configured to determine a quantization parameter (QP) of a current block of the video data without considering a type of content of the video data and a rate-distortion model associated with the type of content. The processor is also configured to code the current block in a bitstream using the determined QP.
Abstract:
Methods and apparatus for coding video information having a plurality of video samples are disclosed. Video samples are partitioned into groups for transmission within a single clock cycle, wherein the samples are associated with a bit length B, and a group having a group size K. The sample group is mapped to a code number and coded to form a vector-based code comprising a first portion identifying a type of look-up-table used to performing the mapping, and a second portion representing the samples of the group. The look-up-table may be constructed based upon occurrence probabilities of different sample groups. In addition, different types of look-up-tables may be used for different B and K values.
Abstract:
Provided are systems and methods for used fixed-point instead of floating point techniques in order to calculate various parameters for coding video data, including target rate, QP adjustment, buffer fullness, a Lagrangian parameters for a bitrate, and/or a Lagrangian parameter for the fullness of the buffer. By determining one or more of the parameters using fixed-point, hardware implementation costs may be decreased.
Abstract:
A system and method for flatness detection for display stream compression (DSC) is disclosed. In one aspect, the method includes determining a first complexity value for a previous block of video data, a second complexity value for a current block of the video data, and a third complexity value for a next block of the video data. The method also includes determining whether the current block includes a transition from a complex region to a flat region based at least in part on the first, second, and third complexity values.