Thomson Licensing

Intel Corporation

Hitachi America, Ltd.

Vidyo, Inc.

Lucent Technologies Inc.

Interdigital Vc Holdings, Inc.

Hitachi, Ltd.

Interdigital Madison Patent Holdings

At&t Corp.

Thomson Licensing S.a.

Matsushita Electric Corporation of America

Thomson Research Funding Corporation

Hitachi of America, Ltd.

Jill MacDonald Boyce

Peng Yin

Alexandros Michael Tourapis

Larry Alan Pearlstein

Frank Anton Lane

Sumit Mohan

Prasoonkumar Surti

Purvin Bibhas Pandit

Jeffrey Allen Cooper

Stanley J Baran

Danny Hong

James M Holland

Abhishek R Appu

Kumar Ramaswamy

Basel Salahieh

Scott R Janus

Michael Allen Plotnick

Adam T Lake

Jason Daniel Tanner

Cristina Gomila

Fangwen Fu

Joseph Ellis Augenbraun

Michael Apodaca

Joan Llach

Barnan Das

Jong Dae Oh

John G Henderson

Archie Sharma

Atthar H Mohammed

Altug Koker

Stephan Wenger

Yi-Jen Chiu

Narayan Biswal

Sang-Hee Lee

Keith W Rowe

Satya N Yedidi

Lidong Xu

Richmond Hicks

Karthik Veeramani

Hugues Labbe

Gokcen Cilingir

Masuo Oku

Jack S Fuhrer

Srikanth Potluri

Varghese George

Carl S Marshall

Atsuo Kuwahara

Changliang Wang

Deepak Shashidhar Vembar

Selvakumar Panneer

Zhenyu Wu

Hiu-Fai R Chan

Zhijun Lei

Jeffrey Tripp

Joydeep Ray

Subramaniam M Maiyuran

Vasanth Ranganathan

Hiroo Okamoto

Nikos Kaburlasos

Kai Xiao

Xiaoan Lu

Takaharu Noguchi

Nilesh V Shah

Masafumi Nakamura

Mayuresh M Varerkar

Katsuo Mohri

Tzach Ashkenazi

Glen J Anderson

Vallabhajosyula S Somayazulu

Mike MacPherson

Nilesh K Jain

Sherine Abdelhak

Zhengmin Li

Rajesh Poornachandran

Christopher J Hughes

Yao Rong Wang

Guei-Yuan Lueh

Ximin Zhang

Fai Yeung

Sang-hee Lee

Ya-Ti Peng

Robert J Johnston

Yunbiao Lin

Hua Yang

Soethiha Soe

Jonathan Michael Lennox

David Anthony Campana

Satyanarayana Avadhanam

Maria Bortman

Kshitij Arun Doshi

Zhipin Deng

Yeping Su

Giuseppe Beppe Raffa

Ignacio Javier Alvarez

Hang Liu

Sean J Lawrence

Rajneesh Chowdhury

Brinda Ganesh

David Gray Boyer

Ankur Agrawal

Methods, apparatus, systems and articles of manufacture to generate packed video frames are disclosed. A video encoding system disclosed herein includes a configuration determiner to create a packed video frame layout that includes regions into which video components are to be placed. The system also includes a frame generator to form packed video frames that include the video components placed into different regions. The encoding system further includes a frame information generator that generates packed video frame information that identifies characteristics of the packed video frame including (i) the identities of regions included in the packed video frame layout, (ii) types of video components included in the regions, or iii) information identifying the locations and dimensions of the regions. A video encoder of the encoding system encodes the frames and includes the packed video frame information to signal the inclusion of the packed video frames in the encoded bitstream.

Method, apparatus, and articles of manufacture to generate packed video frames for a volumetric video bitstream and an immersive video bitstream

Devices and techniques related to implementing patch based video coding for machines are discussed. Such patch based video coding includes detecting regions of interest in a frame of video, extracting the detected regions of interest to one or more atlases absent the frame at a resolution not less than the resolution of the regions of interest, and encoding the one or more atlases to a bitstream.

Patch based video coding for machines

Embodiments described herein provided for an instruction and associated logic to enable a processing resource including a tensor accelerator to perform optimized computation of sparse submatrix operations. One embodiment provides a parallel processor comprising a processing cluster coupled with the cache memory. The processing cluster includes a plurality of multiprocessors coupled with a data interconnect, where a multiprocessor of the plurality of multiprocessors includes a tensor core configured to load tensor data and metadata associated with the tensor data from the cache memory, wherein the metadata indicates a first numerical transform applied to the tensor data, perform an inverse transform of the first numerical transform, perform a tensor operation on the tensor data after the inverse transform is performed, and write output of the tensor operation to a memory coupled with the processing cluster.

Systolic arithmetic on sparse data

Techniques related to immersive video coding are discussed and include immersive video sequences and output units for random access to the immersive video, coding improvements for camera parameters coding, and coding efficiency improvements for atlas parameters.

Immersive video coding techniques for three degree of freedom plus/metadata for immersive video (3DoF+/MIV) and video-point cloud coding (V-PCC)

Methods, apparatus, systems and articles of manufacture to sample enabled views per atlas in immersive video are disclosed. An example apparatus includes an interface to obtain a bitstream corresponding to an immersive video; a bitstream analyzer to determine that metadata corresponding to an atlas of the bitstream identifies that at least part of a view of interest corresponds to the atlas, the metadata included in the bitstream; and a filter to generate a filtered bitstream by removing atlases that do not identify at least part of a view of interest from the bitstream, the interface to provide the filtered bitstream to a decoder.

Methods and apparatus to signal enabled views per atlas in immersive video

One embodiment provides a graphics processor comprising a block of execution resources, a cache memory, a cache memory prefetcher, and circuitry including a programmable neural network unit, the programmable neural network unit comprising a network hardware block including circuitry to perform neural network operations and activation operations for a layer of a neural network, the programmable neural network unit addressable by cores within the block of graphics cores and the neural network hardware block configured to perform operations associated with a neural network configured to determine a prefetch pattern for the cache memory prefetcher.

Graphics architecture including a neural network pipeline

Methods, apparatus, systems and articles of manufacture for object-based volumetric video coding are disclosed. An example apparatus disclosed herein includes a point annotator to receive point cloud data associated with an object and annotate points of the point cloud data with an object identifier of the object. The disclosed example apparatus also includes a projector to project the point cloud data onto projection planes to produce texture images and geometry images. The disclosed example apparatus further includes a patch generator to generate a patch based on the object identifier, the patch including the texture images and the geometry images of the object, the patch associated with the object identifier of the object. The disclosed example apparatus also includes an atlas generator to generate an atlas to include in encoded video data, the atlas including the patch.

Object-based volumetric video coding

A mechanism is described for facilitating defining of interoperability signaling and conformance points for the PCC standard in computing environments. A computing device of embodiments, as described herein, includes a decoder to decode a compressed bitstream of video data representing a point cloud, point cloud reconstructor circuitry to reconstruct a point cloud from the decoded patch video data, a syntax element parser to receive at least one syntax element representing interoperability signaling in the compressed bitstream to indicate the number of points in one or more pictures of the video data, and processing hardware to determine if the number of points in the one or more pictures of the compressed bitstream is within the conformance limits of the point cloud reconstructor circuitry.

Point cloud coding standard conformance definition in computing environments

Embodiments are generally directed to selective packing of patches for immersive video. An embodiment of a processing system includes one or more processor cores; and a memory to store data for immersive video, the data including a plurality of patches for multiple projection directions. The system is select the patches for packing, the selection of the patches based at least in part on which of the multiple projection directions is associated with each of the patches. The system is to encode the patches into one or more coded pictures according to the selection of the patches.

Selective packing of patches for immersive video

An example apparatus for adaptively encoding video frames includes a network analyzer to predict an instant bitrate based on channel throughput feedback received from a network. The apparatus also includes a content analyzer to generate ladder info based on a received frame. The apparatus further includes an adaptive decision executer to determine a frame rate, a video resolution, and a target frame size based on the predicted instant bitrate and the ladder outputs. The apparatus further includes an encoder to encode the frame based on the frame rate, the video resolution, and the target frame size.

Adaptively encoding video frames using content and network analysis

Embodiments described herein provide an apparatus comprising a plurality of processing resources including a first processing resource and a second processing resource, a memory communicatively coupled to the first processing resource and the second processing resource, and a processor to receive data dependencies for one or more tasks comprising one or more producer tasks executing on the first processing resource and one or more consumer tasks executing on the second processing resource and move a data output from one or more producer tasks executing on the first processing resource to a cache memory communicatively coupled to the second processing resource. Other embodiments may be described and claimed.

Data locality enhancement for graphics processing units

An example apparatus for encoding immersive video includes a view optimizer to receive a plurality of input views from a source camera and select basic views and additional views from the plurality of input views. The apparatus also includes a view pruner to prune the additional views based on a comparison with the basic views. The apparatus further includes a patch packer to generate atlases based on the pruned additional views and the basic views. The apparatus includes a metadata composer to generate metadata including additional metadata. The apparatus also further includes a bitstream generator to generate a bitstream including the encoded video and the metadata.

Techniques for encoding and decoding immersive video

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

Embodiments of a video codec may include technology to derive a conformance point for a sub-region of coded pictures in a coded video sequence in the video data, group any combination of sub-pictures that form a rectangular region into a sub-picture set, and/or derive a level indicator corresponding to a sub-picture based on a level of the coded video sequence and a relative size of the coded picture and the sub-picture set. Other embodiments are disclosed and claimed.

Sub-pictures and sub-picture sets with level derivation

Methods, apparatus, systems and articles of manufacture for texture based immersive video coding are disclosed. An example apparatus includes a correspondence labeler to (i) identify first unique pixels and first corresponding pixels included in a plurality of pixels of a first view and (ii) identify second unique pixels and second corresponding pixels included in a plurality of pixels of a second view; a correspondence patch packer to (i) compare adjacent pixels in the first view and (ii) identify a first patch of unique pixels and a second patch of corresponding pixels based on the comparison of the adjacent pixels and the correspondence relationships, the second patch of corresponding pixels tagged with a correspondence list identifying corresponding patches in the second view; and an atlas generator to generate at least one atlas to include in encoded video data, the encoded video data not including depth maps.

Texture based immersive video coding

Growing community of inventors

Manalapan, NJ, United States of America

Jill MacDonald Boyce