公开(公告)号：US20240373033A1

公开(公告)日：2024-11-07

申请号：US18311489

申请日：2023-05-03

Applicant: MELLANOX TECHNOLOGIES, LTD.

Inventor： Dror Porat ,  Dotan David Levi ,  Yury Shvartzman ,  Eyal Frishman

IPC: H04N19/147 ,  H04N19/136 ,  H04N19/17

Abstract: Approaches in accordance with various illustrative embodiments provide for the determination and/or optimization the quality of an image or video, such as an image that has been compressed for transmission or storage then decompressed for presentation. Weights can be determined for a set of weight-based quality metrics to produce an overall quality metric that is a weighted combination of these metrics. Because different portions of an image or video frame may have different types of features, an image or video frame can be divided into blocks of pixels, for example, with different weights being assigned to different blocks using quality metrics. Different metrics can be considered as points in a high-dimensional weight space, with each dimension corresponding to a weight of a block. A combination of these points results in an improved quality metric. Compression settings can be updated based in part upon the overall quality metric values.

公开(公告)号：US20240244228A1

公开(公告)日：2024-07-18

申请号：US18096430

申请日：2023-01-12

Applicant: Mellanox Technologies, Ltd.

Inventor： Eshed Ram ,  Dotan David Levi ,  Assaf Hallak ,  Shie Mannor ,  Gal Chechik ,  Eyal Frishman ,  Ohad Markus ,  Dror Porat ,  Assaf Weissman

IPC: H04N19/149 ,  H04N19/172

CPC classification number: H04N19/149 ,  H04N19/172

Abstract: A system includes a processing device to receive video content and output encoded video of the video content for a client video device. The system includes a controller coupled to the processing device, the controller programmed with machine instructions to receive, from a video encoder while encoding the video content, frame statistics based on one or more encoded frames of the video content corresponding to a current frame. The machine instructions further generate a first quantization parameter (QP) value for the current frame using a frame machine learning model, wherein the frame machine learning model includes states that depend on the frame statistics. The machine instructions further provide the first QP value to the video encoder for rate control of the frame encoding of the current frame.

公开(公告)号：US20250056006A1

公开(公告)日：2025-02-13

申请号：US18230877

申请日：2023-08-07

Applicant: MELLANOX TECHNOLOGIES, LTD.

Inventor： Dotan David Levi ,  Yury Shvartzman ,  Eyal Frishman ,  Dror Porat ,  Eshed Ram ,  Ohad Markus ,  Limor Martin

IPC: H04N19/147 ,  H04N19/14 ,  H04N19/172 ,  H04N19/176

Abstract: Systems and methods herein are for a video encoder to be associated with an interface that is to receive, from an application, at least one metric that is associated with a quality preference for video compression to be performed by the video encoder and that is to provide a weight map to enable the video encoder to perform rate-distortion optimization (RDO) for received frames from the application using the weight map to weigh one or more first blocks associated with an individual one of the frames more than one or more second blocks associated with the individual one of the frames.

公开(公告)号：US20240244227A1

公开(公告)日：2024-07-18

申请号：US18096424

申请日：2023-01-12

Applicant: Mellanox Technologies, Ltd.

Inventor： Eshed Ram ,  Dotan David Levi ,  Assaf Hallak ,  Shie Mannor ,  Gal Chechik ,  Eyal Frishman ,  Ohad Markus ,  Dror Porat ,  Assaf Weissman

IPC: H04N19/149 ,  H04N19/154 ,  H04N19/172

CPC classification number: H04N19/149 ,  H04N19/154 ,  H04N19/172

Abstract: A system includes a processing device to receive a video content, a quality metric, and a target bit rate for encoding the video content. The system includes encoding hardware to perform frame encoding on the video content and a controller coupled between the processing device and the encoding hardware. The controller is programmed with machine instructions to generate first QP values on a per-frame basis using a frame machine learning model with a first plurality of weights. The first plurality of weights depends at least in part on the quality metric and the target bit rate. The controller is further programmed to provide the first QP values to the encoding hardware for rate control of the frame encoding.

公开(公告)号：US20240244225A1

公开(公告)日：2024-07-18

申请号：US18096428

申请日：2023-01-12

Applicant: Mellanox Technologies, Ltd.

Inventor： Eshed Ram ,  Dotan David Levi ,  Assaf Hallak ,  Shie Mannor ,  Gal Chechik ,  Eyal Frishman ,  Ohad Markus ,  Dror Porat ,  Assaf Weissman

IPC: H04N19/147 ,  H04N19/124 ,  H04N19/172

CPC classification number: H04N19/147 ,  H04N19/124 ,  H04N19/172

Abstract: A system includes a processing device to receive video content, metadata related to the video content, and a target bit rate for encoding the video content. The processing device further detects a content type of the video content based on the metadata and encodes hardware to perform frame encoding on the video content. The system further includes a controller coupled between the processing device and the encoding hardware. The controller is programmed with machine instructions to generate first QP values on a per-frame basis using a frame machine learning model with a first plurality of weights. The first plurality of weights depends at least in part on the content type and the target bit rate. The controller further provides the first QP values to the encoding hardware for rate control of the frame encoding.