公开(公告)号：US20190356931A1

公开(公告)日：2019-11-21

申请号：US16413992

申请日：2019-05-16

Applicant: GOOGLE LLC

Inventor： David Marwood ,  Michele Covell ,  Shumeet Baluja ,  Nicholas Milo Johnston ,  Pascal Massimino

IPC: H04N19/90 ,  H04N19/186 ,  H04N19/176 ,  G06T9/00

Abstract: An encoder system can include a pixel grid generator to receive an image having a first dimension, generate a grid having a second dimension, add a plurality of points to positions on the grid, and map a plurality of pixels of the image to the plurality of points. The encoder system can include a color module to assign a color to each of the plurality of points using a color table, a triangulation module to generate a plurality of vertices based on the plurality of points and triangulate the grid using the vertices, and a compression module to compress the vertices as a set of compressed vertex positions and a set of vertex colors.

公开(公告)号：US12149265B2

公开(公告)日：2024-11-19

申请号：US17904030

申请日：2020-07-06

Applicant: GOOGLE LLC

Inventor： Pascal Massimino ,  Vincent Rabaud

IPC: H03M7/30 ,  H03M7/40 ,  H04N19/91

Abstract: Updating cumulative distribution functions (CDFs) during arithmetic encoding can be a challenge because the final element of the CDF should remain fixed during the update calculations. If the probabilities were floating-point numbers, this would not be too much of a challenge; nevertheless, the probabilities and hence the CDFs are represented as integers to take advantage of infinite-precision arithmetic. Some of these difficulties may be alleviated by introducing a “mixing” CDF along with the active CDF being updated; the mixing CDF provides nonlocal context for updating the CDF due to the introduction of a particular symbol in the encoding. Improved techniques of performing arithmetic encoding include updating the CDF using two, one-dimensional mixing CDF arrays: a symbol-dependent array and a symbol-dependent array. The symbol-dependent array is a sub array of a larger, fixed array such that the sub array selected depends on the symbol being used.

公开(公告)号：US20240080481A1

公开(公告)日：2024-03-07

申请号：US18507266

申请日：2023-11-13

Applicant: GOOGLE LLC

Inventor： Pascal Massimino ,  Vincent Rabaud

IPC: H04N19/60 ,  H04N19/124 ,  H04N19/129 ,  H04N19/176 ,  H04N19/423 ,  H04N19/70

CPC classification number: H04N19/60 ,  H04N19/124 ,  H04N19/129 ,  H04N19/176 ,  H04N19/423 ,  H04N19/70

Abstract: A sparse matrix representation of image or video data for encoding or decoding uses a boundary of non-zero coefficients within the image or video data. A bounding box encloses each non-zero coefficient within an image or video block. The coefficients enclosed within the bounding box are encoded to a bitstream along with dimensional information usable to identify the bounding box within the image or video block during decoding. Coefficients not enclosed within the bounding box are not specifically encoded within the bitstream. The dimensional information represents one or more of a shape, size, or position within the image or video block of the bounding box. The bounding box may be identified according to a scan order used to process the coefficients within the image or video block. The bounding box may be rectangular or non-rectangular.

公开(公告)号：US20220353533A1

公开(公告)日：2022-11-03

申请号：US17860693

申请日：2022-07-08

Applicant: GOOGLE LLC

Inventor： Pascal Massimino ,  Vincent Rabaud

IPC: H04N19/60 ,  H04N19/124 ,  H04N19/129 ,  H04N19/176 ,  H04N19/423 ,  H04N19/70

Abstract: A sparse matrix representation of image or video data for encoding or decoding uses a boundary of non-zero coefficients within the image or video data. A bounding box encloses each non-zero coefficient within an image or video block. The coefficients enclosed within the bounding box are encoded to a bitstream along with dimensional information usable to identify the bounding box within the image or video block during decoding. Coefficients not enclosed within the bounding box are not specifically encoded within the bitstream. The dimensional information represents one or more of a shape, size, or position within the image or video block of the bounding box. The bounding box may be identified according to a scan order used to process the coefficients within the image or video block. The bounding box may be rectangular or non-rectangular.

公开(公告)号：US11475601B2

公开(公告)日：2022-10-18

申请号：US16732283

申请日：2019-12-31

Applicant: Google LLC

Inventor： Yannis Guyon ,  Pascal Massimino

IPC: G06K9/36 ,  G06T9/00 ,  H04L65/60 ,  G06F9/30 ,  H04L65/70 ,  H04L65/75 ,  H04L65/61

Abstract: A data stream accessor seeks to simulate an uninterrupted bitstream for a decoder during network interruptions. The accessor performs a set of operations including receiving an available amount of image data and storing a current execution context of the call site, passing execution flow to the decoder, and performing a subset of operations. The subset includes receiving an indication of a desired amount of image data from the decoder. If a total amount of image data at the accessor is greater than or equal to the desired amount, the desired amount is transmitted to the decoder for decoding. Otherwise, and unless an error issues, a current execution context of the decoder is stored, execution flow is passed from the decoder to the call site, and the restorable execution context is loaded as the current execution context of the call site. The subset is repeated unless the image is completely decoded.

公开(公告)号：US11012714B1

公开(公告)日：2021-05-18

申请号：US16909221

申请日：2020-06-23

Applicant: GOOGLE LLC

Inventor： Vincent Rabaud ,  Pascal Massimino

IPC: H04N19/64 ,  H04N19/176 ,  H04N19/119 ,  H04N19/13

Abstract: Decoding image data using lexicographic coding order with floating block-partitioning includes obtaining, from an encoded bitstream, encoded data for a defined portion of a frame, generating a reconstructed frame by decoding the encoded data, and outputting the reconstructed frame for presentation to a user. Decoding the encoded data using lexicographic coding order with floating block-partitioning includes decoding, from the encoded data, block dimension data for respective blocks from the plurality of blocks in lexicographic coding order, determining block location data for the respective blocks from the plurality of blocks in lexicographic coding order, generating reconstructed block data for the respective blocks from the plurality of blocks using the block dimension data and the block location data by decoding, from the encoded data, image content data for the respective blocks from the plurality of blocks, and including the reconstructed block data in the reconstructed frame.