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Contentarmor

Peng Yin

Yunfei Zheng

Taoran Lu

Xiaoan Lu

Joel Sole

Qian Xu

Tao Chen

Purvin Bibhas Pandit

Walter J Husak

Fangjun Pu

Jill MacDonald Boyce

Guan-Ming Su

Sean Thomas McCarthy

Yeping Su

Cristina Gomila

Jiancong Luo

Dong Tian

Oscar Divorra Escoda

Robin Atkins

Alexandros Michael Tourapis

Jaclyn Anne Pytlarz

Lihua Zhu

Liwei Guo

Sheng Qu

Yang Hu

Yuwen He

Qian Chen

Yan Ye

Samir N Hulyalkar

Yu Wen Wu

Yong Ying Gao

Meng-Ping Kao

Joel Sole Rojals

Jae Hoon Kim

Walter Christian Gish

Jiheng Yang

Jay Nitin Shingala

Adeel Abbas

Polin Lai

Joan Llach

Jeffrey Allen Cooper

Jeffrey Adam Bloom

Dekun Zou

Yufei Yuan

Ashwin Natesan

Cristina Gomila Torres

PoLin Lai

Kiran Mukesh Misra

Glenn N Dickins

Ying Li

Xuejing Sun

Jiefu Zhai

Zhenyu Wu

Harshad Kadu

Jun Xu

Chad Andrew Lefevre

Qing Song

Neeraj J Gadgil

Gopi Lakshminarayanan

Wang Lin Lai

David Brooks

Zhan Ma

Po-Lin Lai

Jan Froehlich

Hariharan Ganapathy

Jian Lou

Weiyao Lin

Ian Godin

Arun Raj

Hariharan Ganapathy-Kathirvelu

Qiuwei Wang

Dung Trung Vo

Arunkumar Mohananchettiar

Ralf Willenbacher

Jole Sole

Shay Har-Noy

Doug Tian

Toaran Lu

Vijayakumar Gayathri Ramakrishna

Kaustubh Shripad Patankar

Arjun Arora

Kishore Chamarthi

Methods and apparatus are provided for determining quantization parameter predictors from a plurality of neighboring quantization parameters. An apparatus includes an encoder for encoding image data for at least a portion of a picture using a quantization parameter predictor for a current quantization parameter to be applied to the image data. The quantization parameter predictor is determined using multiple quantization parameters from previously coded neighboring portions. A difference between the current quantization parameter and the quantization parameter predictor is encoded for signaling to a corresponding decoder.

Methods and apparatus for determining quantization parameter predictors from a plurality of neighboring quantization parameters

Methods and apparatus are provided for unified significance map coding. An apparatus includes a video encoder () for encoding transform coefficients for at least a portion of a picture. The transform coefficients are obtained using a plurality of transforms. One or more context sharing maps are generated for the transform coefficients based on a unified rule. The one or more context sharing maps are for providing at least one context that is shared among at least some of the transform coefficients obtained from at least two different ones of the plurality of transforms.

Methods and apparatus for unified significance map coding

An input image represented in an input domain is received from an input video signal. Forward reshaping is performed on the input image to generate a forward reshaped image represented in a reshaped image domain. Non-reshaping encoding operations are performed to encode the reshaped image into an encoded video signal. At least one of the non-reshaping encoding operations is implemented with an ML model that has been previously trained with training images in one or more training datasets in a preceding training stage. A recipient device of the encoded video signal is caused to generate a reconstructed image from the forward reshaped image.

Reshaper for learning based image/video coding

Given a sequence of images in a first codeword representation, methods, processes, and systems are presented for integrating reshaping into a next generation video codec for encoding and decoding the images, wherein reshaping allows part of the images to be coded in a second codeword representation which allows more efficient compression than using the first codeword representation. A variety of architectures are discussed, including: an out-of-loop reshaping architecture, an in-loop-for intra pictures only reshaping architecture, an in-loop architecture for prediction residuals, and a hybrid in-loop reshaping architecture. Syntax methods for signaling reshaping parameters, and image-encoding methods optimized with respect to reshaping are also presented.

Integrated image reshaping and video coding

Methods, systems, and bitstream syntax are described for metadata signaling and film-grain parameter adaptation based on a viewing environment which may differ from a reference environment. Example adaptation models are provided for viewing parameters that include: ambient room illumination, viewing distance, and pixels per inch in a target display. Example systems include a single reference viewing environment model and a multi-reference viewing environment model supporting adaptation of film-grain model parameters via adaptation functions or interpolation.

Film grain parameters adaptation based on viewing environment

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 apparatus are provided for adaptive motion vector candidate ordering for video encoding and decoding. An apparatus includes a video encoder () for encoding a block in a picture by selecting an order of motion vector predictor candidates for the block responsive to a characteristic available at both the video encoder and a corresponding decoder. The characteristic excludes a mode in which the block is partitioned.

Methods and apparatus for adaptive motion vector candidate ordering for video encoding and decoding

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 apparatus are provided for intra coding a block having pixels assigned to groups. An apparatus includes a video encoder for encoding a block in a picture using intra prediction by dividing pixels within the block into at least a first group and a second group and encoding the pixels in the first group prior to encoding the pixels in the second group. A prediction for at least one of the pixels within the second group is obtained by evaluating the pixels within the first group and the second group.

Methods and apparatus for intra coding a block having pixels assigned to groups

Methods and apparatus are provided for collaborative partition coding for region based filters. An apparatus includes a video encoder () for encoding image data for a plurality of regions in a picture. The video encoder () includes multiple filters for filtering the image data based on region partition information for the plurality of regions. The region partition information for the plurality of regions is shared between the multiple filters.

Methods and apparatus for collaborative partition coding for region based filters

Methods are described to communicate source color volume information in a coded bitstream using SEI messaging. Such data include at least the minimum, maximum, and average luminance values in the source data plus optional data that may include the color volume x and y chromaticity coordinates for the input color primaries (e.g., red, green, and blue) of the source data, and the color x and y chromaticity coordinates for the color primaries corresponding to the minimum, average, and maximum luminance values in the source data. Messaging data signaling an active region in each picture may also be included.

Source color volume information messaging

There are provided methods and apparatus for adaptive geometric partitioning for video encoding and decoding. An apparatus includes an encoder for encoding image data corresponding to pictures by adaptively partitioning at least portions of the pictures responsive to at least one parametric model. The at least one parametric model involves at least one of implicit and explicit formulation of at least one curve.

Method and apparatus for parametric, model-based, geometric frame partitioning for video coding

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Peng Yin