Abstract:
A video processing system is provided to create quantization data parameters based on human eye attraction to provide to an encoder to enable the encoder to compress data taking into account the human perceptual guidance. The system includes a perceptual video processor (PVP) to generate a perceptual significance pixel map for data to be input to the encoder. Companding is provided to reduce the pixel values to values ranging from zero to one, and decimation is performed to match the pixel values to a spatial resolution of quantization parameter values (QP) values in a look up table (LUT). The LUT table values then provide the metadata to provide to the encoder to enable compression of the original picture to be performed by the encoder in a manner so that bits are allocated to pixels in a macroblock according to the predictions of eye tracking.
Abstract:
A method of dual-pass rate control video encoding and an encoder are disclosed. Uncompressed input video is received with a video encoder. First pass encoding is performed, and a second pass encoding is performed with the video encoder at a delay relative to the first pass. The first pass encoding detects scene changes within the input video, assigns macroblocks to a pre-determined number of activity classes, and determines a complexity of each picture within the sequence of pictures. Information from the first pass encoding concerning the scene changes, the activity classes, and the complexity are used for rate control determined in second pass encoding for producing and outputting a bit stream of compressed video. During at least one of the first pass and second pass encoding, boundaries of at least some of the GOPs are adjusted to be aligned with the scene changes.