Pixelworks, Inc.

Anchor Semiconductor Inc.

Pixelworks Semiconductor Technology (shanghai) Co., Ltd.

Ndsp Corporation

Yue Ma

Neil Woodall

Bob Zhang

Junhua Chen

Hongmin Zhang

Guohua Cheng

Guodong Liu

Ye Chen

Khurram Zafar

Justin Chen

Chenmin Hu

Abhishek Vikram

Ping Zhang

Xiaojie Sheng

Miao Sima

Minghui Yang

Baochen Liu

Zongming Han

Gongxian Liu

Yuan Xu

Huili Han

Rong Lv

Lihang Zhang

Chingyun Hsiang

Raymond Xu

Hongmin (Bob) Zhang

James H Zhou

Xuan Wu

Qinghai Wang

Jiehua Shen

Methods and systems are herein provided for judder adjustment. In one example, a system comprises a display device configured to display scenes of a major motion picture and a user interface; and a computing device including a processor communicatively coupled to the display device, wherein the computing device is configured to execute instructions stored in non-transitory memory that, when executed cause the processor to obtain and display a scene within the user interface, interpolate frames for one or more of a plurality of input frames of the scene based on a selected judder angle, wherein the selected judder angle is selected via an adjustable dial of the user interface; and display the scene with a perceived judder resulting from the interpolated frames.

Methods and systems for judder adjustment in major motion pictures

Various methods are provided for the generation of motion vectors in the context of 3D computer-generated images. In one example, a method includes generating, for each pixel of one or more objects to be rendered in a current frame, a 1-phase motion vector (MV1) and a 0-phase motion vector (MV0), each MV1 and MV0 having an associated depth value, to thereby form an MV1 texture and an MV0 texture, each MV0 determined based on a camera MV0 and an object MV0, and outputting MV1 texture and the MV0 texture for image processing.

Methods and systems for 0-phase motion vectors in 3D graphics

Various methods are provided for generating motion vectors in the context of 3D computer-generated images. An example method includes generating, for each pixel of one or more objects to be rendered in a current frame, a 1-phase motion vector (MV) and a 0-phase motion vector (MV), each MVand MVhaving an associated depth value, to thereby form an MVtexture and an MVtexture; converting the MVtexture to a set of MVblocks and converting the MVtexture to a set of MVblocks; and outputting the set of MVblocks and the set of MVblocks for image processing.

Methods and systems for motion vectors in 3D graphics

Various methods and systems are provided for accelerated image rendering with motion compensation. In one embodiment, a method comprises calculating motion between a preceding image frame and a target image frame to be rendered, rendering a small image with a size smaller than a target size of the target image frame based on the calculated motion, and generating the target image frame at the target size based on the small image, the calculated motion, and a reference image frame. In this way, high-quality image frames for a video stream may be generated with a reduced amount of rendering for each frame, thereby reducing the overall processing resources dedicated to rendering as well as the power consumption for image rendering.

Methods and systems for accelerated image rendering with motion compensation

Various methods are provided for the generation of motion vectors in the context of 3D computer-generated images. In one example, a method includes generating, for each pixel of one or more objects to be rendered in a current frame, a 1-phase motion vector (MV1) and a 0-phase motion vector (MV0), each MV1 and MV0 having an associated depth value, to thereby form an MV1 texture and an MV0 texture, each MV0 determined based on a camera MV0 and an object MV0, converting the MV1 texture to a set of MV1 pixel blocks and converting the MV0 texture to a set of MV0 pixel blocks and outputting the set of MV1 pixel blocks and the set of MV0 pixel blocks for image processing.

Various methods and systems are provided for image processing for multiple cameras. In one embodiment, a method comprises acquiring image frames with a plurality of image frame sources configured with different acquisition settings, processing the image frames based on the different acquisition settings to generate at least one final image frame, and outputting the at least one final image frame. In this way, information from different image frame sources such as cameras may be leveraged to achieve increased frame rates with improved image quality and a desired motion appearance.

Methods and systems for image processing with multiple image sources

Pattern centric process control is disclosed. A layout of a semiconductor chip is decomposed into a plurality of intended circuit layout patterns. For the plurality of intended circuit layout patterns, a corresponding plurality of sets of fabrication risk assessments corresponding to respective ones of a plurality of sources is determined. Determining a set of fabrication risk assessments for an intended circuit layout pattern comprises determining fabrication risk assessments based at least in part on: simulation of the intended circuit layout pattern, statistical analysis of the intended circuit layout pattern, and evaluation of empirical data associated with a printed circuit layout pattern. A scoring formula is applied based at least in part on the sets of fabrication risk assessments to obtain a plurality of overall fabrication risk assessments for respective ones of the plurality of intended circuit layout patterns. The plurality of intended circuit layout patterns is ranked based on their fabrication risk assessments, the corresponding overall fabrication risk assessments, or both. At least a portion of ranking information is outputted to facilitate influence or control over the semiconductor fabrication process.

Pattern centric process control

Various methods and systems are provided for image processing for multiple cameras. In one embodiment, a method comprises acquiring a plurality of image frames from each image frame source of a plurality of image frame sources, each plurality of image frames acquired at a first frame rate, combining the plurality of image frames from each image frame source into a single plurality of image frames with a second frame rate higher than the first frame rate, and outputting the single plurality of image frames as a video. In this way, high-frame-rate video may be obtained with multiple low-frame-rate image frame sources or cameras.

A method includes receiving, at a processor, at least one frame of input image data, producing motion vector fields between the frames of input image data, and applying temporal stability to the at least one frame of the input image data to produce noise reduced image data, wherein applying temporal stability comprises separating pixel data into frequency bands.

Temporal stability for single frame super resolution

A method of estimating motion in video display data includes dividing a frame of the video display data into blocks, generating at least two motion models for a current block from motion models of neighboring blocks to the current block, and selecting one of the motion models based upon a similarity of the motion model that minimizes differences between corresponding blocks in reference frames to the current block.

Motion estimation based on block level bilateral filter and local motion model

A method of producing video data includes receiving, at a processor, a current frame of image data in a stream of frames of image data, dividing a current frame of image data into blocks, identifying a current block and defining a neighborhood of blocks for the current block, generating at least one initial motion vector for each block, using the initial motion vector for current block and an initial motion model to calculate a weight for each initial motion vector in the neighborhood based on a difference between initial motion vector for the current block and the initial motion vector for at least one other block from the current block in the neighborhood and differences in the image data between the current block and the other blocks in the neighborhood, using the weights for each initial motion vector to generate coefficients for a refined motion model, refining the initial motion vector for the current block according to the refined motion model to produce a refined motion vector, using the refined motion vector and the pixels in the stream of frames to produce at least one of adjusted pixels and new pixels, and displaying the at least one of adjusted pixels and new pixels on a display.

Accuracy and local smoothness of motion vector fields using motion-model fitting

A method of performing motion vector correction in a sequence of video frames includes receiving, at a processor, a frame of video frames at a received rate lower than an original frame rate, identifying motion vector candidates for a frame in the sequence of video frames, detecting a cadence of the sequence of video frames using the motion vector candidates, scaling the motion vector candidates according to the cadence to produce scaled motion vector candidates, calculating motion vectors for a frame in the sequence of video frames using the scaled motion vector candidates, and interpolating at least one new frame of video data using the motion vectors.

Growing community of inventors

Pleasanton, CA, United States of America

Yue Ma