Intel Corporation

Ub Video Inc.

Foued Ben Amara

Faouzi Kossentini

Chekib Nouira

James Au

Hassen Guermazi

Nader Mahdi

Jill MacDonald Boyce

James M Holland

Nilesh K Jain

Brinda Ganesh

Sumit Mohan

Zhijun Lei

Sebastian Possos

Craig Hurst

Hassene Tmar

Amir Naghdinezhad

Omar Khlif

Ali Jerbi

Techniques related to distributing the video encoding processing of an input video across hardware and software systems. Such techniques include evaluating the content of the video and determine whether or the encoding operation is best to be done on the hardware system only, software system only or a hybrid hardware and software system.

Offloading video coding processes to hardware for better density-quality tradeoffs

Techniques related to transform coefficient shaping for video encoding are discussed. Such techniques include applying weighting parameters from one or more perceptually-designed matrices of weighting parameters to blocks of transform coefficients to generate weighted transform coefficients and encoding the weighted transform coefficients into a bitstream. The process may be based on sets of perceptually designed matrices of weighting parameters. Classifier outputs may be used to select from the set of perceptually designed matrices a subset of matrices to work with. The latter may be used in a synthesis procedure to develop the final weighting matrix to be used is shaping the transform coefficients.

Human visual system optimized transform coefficient shaping for video encoding

Techniques related to video encoding are discussed that, for each block of input video, select an individual partitioning and coding mode selection technique from multiple such selection techniques. For a picture, the selection algorithm takes as input scores for individual blocks, costs of the various partitioning and coding mode selection techniques, and various detector outputs. The selection algorithm provides as output a partitioning and coding mode selection technique for each block in picture. The algorithms selection is such that the overall cost of the selected algorithms in the picture is as close as possible to a given picture budget. Furthermore, a partitioning and coding mode selection algorithms, binary depth partitioning (BDP), is discussed. For a block, BDP provides fast convergence to a partitioning and associated coding modes first evaluating intermediate partitioning options and converging on the final partitioning by evaluating either larger of smaller partitions.

Partitioning and coding mode selection for video encoding

A system and method is provided to avoid or otherwise reduce luminance and/or chrominance trailing artifacts in block-based hybrid video coders using multiple block sizes and shapes. The proposed trailing artifact avoidance approach has at its core three main components. The first component is a method to identify flat blocks in the source frame that are most susceptible to the appearance of trailing artifacts, and where flatness is determined according to several proposed criteria. The second component is a method to identify bad blocks, which refer to predicted blocks in motion estimation that correspond to flat blocks in the source frame and that contain trailing artifacts. The third component is a method to avoid trailing artifacts when they are detected within a bad block, and where the avoidance is achieved by employing one or more tools from among a proposed set of high fidelity coding tools and/or high performance motion estimation tools.

Trailing artifact avoidance system and method

A pre-processing system and method is used to compensate for global brightness changes in consecutive video frames. The system and method uses a brightness change model to identify the global brightness changes and to discard the brightness in a source frame so that the brightness changes between consecutive reconstructed video frames is kept to a minimum. The Hough Transform is used as one example of the model to accumulate votes for different values of brightness change model parameters. Compensation for any detected brightness changes in the source frame is performed with filtering of the model parameters when necessary, to help avoid any artifacts in the compensated source frame. Different application sequences of the brightness change model allows for multiple levels of processing delays.

Global brightness change compensation system and method

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Vancouver, Canada

Foued Ben Amara