Abstract:
Techniques related to adaptive quality boosting for low latency video coding are discussed. Such techniques include segmenting each of a number of temporally adjacent video frames into unique high encode quality regions and encoding each of the video frames by applying a coding quality boost to the high encode quality regions relative to other regions of the video frames.
Abstract:
Techniques related to adaptive quality boosting for low latency video coding are discussed. Such techniques include segmenting each of a number of temporally adjacent video frames into unique high encode quality regions and encoding each of the video frames by applying a coding quality boost to the high encode quality regions relative to other regions of the video frames.
Abstract:
Techniques related to quantization parameter estimation for coding intra and scene change frames are discussed. Such techniques include generating features based on an intra or scene change frame including a proportion of smooth blocks and one or both of a measure of block variance and a prediction distortion, and applying a machine learning model to generate an estimated quantization parameter for encoding the intra or scene change frame.
Abstract:
Methods, apparatus, systems and articles of manufacture to perform quantization offset and/or cost factor modification for video encoding are disclosed. Some example methods for video encoding disclosed herein include adjusting a quantization offset to quantize a transform coefficient representative of a pixel block in a frame of a video sequence. For example, the quantization offset can be adjusted based on a quantization parameter obtained to quantize the transform coefficient. Some such example methods also include quantizing the transform coefficient according to the quantization parameter and the quantization offset. Some example methods for video encoding disclosed herein additionally or alternatively include adjusting a cost factor based on a characteristic of a pixel block in a frame of a video sequence. Some such example methods also include determining, based on the cost factor, a cost associated with encoding the pixel block according to a first encoding mode.
Abstract:
Techniques related to adaptive quality boosting for low latency video coding are discussed. Such techniques include segmenting each of a number of temporally adjacent video frames into unique high encode quality regions and encoding each of the video frames by applying a coding quality boost to the high encode quality regions relative to other regions of the video frames.
Abstract:
Techniques related to coding video using adaptive quantization rounding offsets for use in transform coefficient quantization are discussed. Such techniques may include determining the value of a quantization rounding offset for a picture of a video sequence based on evaluating a maximum coding bit limit of the picture, a quantization parameter of the picture, and parameters corresponding to the video.
Abstract:
Techniques related to selecting constrained directional enhancement filters for video coding are discussed. Such techniques may include selecting subset of constrained directional enhancement filters for use by a frame based on a frame level quantization parameter of the frame such that only the subset is used for filtering the frame.
Abstract:
Techniques related to video coding include content adaptive quantization that provides a selection between objective quality and subjective quality delta QP offsets.
Abstract:
Techniques related to adaptive quantization matrix selection using machine learning for video coding are discussed. Such techniques include applying a machine learning model to generate an estimated quantization parameter for a frame and selecting a set of quantization matrices for encode of the frame from a number of sets of quantization matrices based on the estimated quantization parameter.
Abstract:
Techniques related to coding video using adaptive quantization rounding offsets for use in transform coefficient quantization are discussed. Such techniques may include determining the value of a quantization rounding offset for a picture of a video sequence based on evaluating a maximum coding bit limit of the picture, a quantization parameter of the picture, and parameters corresponding to the video.