Dolby Laboratories Licensing Corporation

Huawei Technologies Co., Limited

Jay Nitin Shingala

Peng Yin

Ashwin Natesan

Shan Liu

Haitao Yang

Huanbang Chen

Sean Thomas McCarthy

Sriram Sethuraman

Jiantong Zhou

Shan Gao

Jeeva Raj A

Sagar Kotecha

Arunkumar Mohananchettiar

Methods, systems, and bitstream syntax are described for the entropy modeling of latent features in image and video coding using a combination of probability density functions. Using high-level syntax elements, an encoder may signal to compliant decoders the multi-distribution entropy model using: the number of one or more PDFs being used, an identifier of each PDF being used among a list of available PDFs, the number of PDF parameters in each PDF, and syntax elements indicating which PDF parameters across two or more PDFs being used are being shared.

Multi-distribution entropy modeling of latent features in image and video coding using neural networks

Methods, processes, and systems are presented for combining signal reshaping (also referred to as luma mapping chroma residuals scaling) with local illumination compensation (LIC) in video coding. Examples and trade-offs when the LIC model parameters are computed in the original domain, the reshaped domain, or a mixed domain, are presented.

In-loop reshaping with local illumination compensation in image coding

An image prediction method and apparatus includes obtaining predicted motion information of an image block; determining an initial predicted block of the image block according to the predicted motion information and a reference image of the image block; performing, according to the predicted motion information, L iterative searches in the reference image using an integer pixel step size to obtain an intermediate predicted block of the image block; performing a single search in the reference image using a fractional pixel step size to obtain M predicted blocks of the image block; determining a target predicted block of the image block according to the M predicted blocks and the intermediate predicted block; and obtaining a predicted value of a pixel value of the image block according to a pixel value of the target predicted block.

Image prediction method and apparatus

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Bengaluru, India

Jay Nitin Shingala