Dolby Laboratories Licensing Corporation

Arris Enterprises LLC

Google Inc.

Arris Technology, Inc.

General Instrument Corporation

Sean Thomas McCarthy

Peng Yin

Fangjun Pu

Taoran Lu

Tao Chen

Walter J Husak

Guan-Ming Su

Robin Atkins

Mark R Magee

Vijay Kamarshi

Neil W Brydon

Danny R Hunt

Scott J Daly

Jeffrey Charles Riedmiller

Wendell Sun

Thomas L Du Breuil

Doh-Suk Kim

Gary Hughes

Wayne D Michelsen

Amit Tikare

Jason Michael Cloud

Ludovic Christophe Malfait

Sukesh V Kaithakapuzha

Raphael Marc Ullmann

Peter A Borgwardt

Sanjeev Kumar Mishra

Shiv Saxena

Jay Nitin Shingala

Frederic Turmel

Arunkumar Mohananchettiar

Vijayakumar Gayathri Ramakrishna

Kaustubh Shripad Patankar

Robert E Titus

Kishore Chamarthi

Toaran Lu

Methods, systems, and bitstream syntax are described for metadata signaling and conversion for film grain encoding and synthesis. Given a bitstream with MPEG film-grain SEI messaging, for each picture, a processor: detects if the film grain model is suitable for film-grain synthesis using the AV1 autoregressive with additive blending noise model, and then: transcodes the MPEG film grain SEI parameters to corresponding AV1 film grain parameters, synthesizes the film grain, and adds it to the decoded video pictures according to the AV1 specification. An example process for translating AV1 parameters to MPEG film-grain SEI messaging is also provided.

Metadata signaling and conversion for film grain encoding

Methods and systems for canvas size scalability across the same or different bitstream layers of a video coded bitstream are described. Offset parameters for a conformance window, a reference region of interest (ROI) in a reference layer, and a current ROI in a current layer are received. The width and height of a current ROI and a reference ROI are computed based on the offset parameters and they are used to generate a width and height scaling factor to be used by a reference picture resampling unit to generate an output picture based on the current ROI and the reference ROI.

Canvas size scalable video coding

Methods and systems for frame rate scalability are described. Support is provided for input and output video sequences with variable frame rate and variable shutter angle across scenes, or for input video sequences with fixed input frame rate and input shutter angle, but allowing a decoder to generate a video output at a different output frame rate and shutter angle than the corresponding input values. Techniques allowing a decoder to decode more computationally-efficiently a specific backward compatible target frame rate and shutter angle among those allowed are also presented.

Frame-rate scalable video coding

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, systems, and bitstream syntax are described for constrained processing in video coding. Using one or more syntax elements and either explicit or implicit signaling, an encoder may signal to compliant decoders that certain features of the main profile, such as subpictures and multi-layered scalable coding, are disabled.

Semantics for constrained processing and conformance testing in video coding

Given a sequence of images in a first codeword representation, methods, processes, and systems are presented for image reshaping using rate distortion optimization, wherein reshaping allows the images to be coded in a second codeword representation which allows more efficient compression than using the first codeword representation. Syntax methods for signaling reshaping parameters are also presented.

Image reshaping in video coding using rate distortion optimization

A quantization parameter signalling mechanism for both SDR and HDR content in video coding is described using two approaches. The first approach is to send the user-defined Qptable directly in high level syntax. This leads to more flexible and efficient QP control for future codec development and video content coding. The second approach is to signal luma and chroma QPs independently. This approach eliminates the need for Qptables and removes the dependency of chroma quantization parameter on luma QP.

Quantization parameter signaling

A method for delivering media to a playback device including outputting first test media to be viewed by a first user. The method further includes receiving a first user input related to a first perception of the first test media by the first user and indicating a first personalized quality of experience of the first user with respect to the first test media. The method further includes generating a first personalized sensitivity profile including one or more viewing characteristics of the first user based on the first user input, and determining, based at least in part on the first personalized sensitivity profile, a first media parameter. The first media parameter is determined in order to increase an efficiency of media delivery to the first playback device over a network while preserving the first personalized quality of experience of the first user.

Personalized sensitivity measurements and playback factors for adaptive and personalized media coding and delivery

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Sean Thomas McCarthy