Amlogic (shanghai) Co., Ltd.

Amlogic Co., Limited

Pixelworks, Inc.

Broadcom Corporation

Dongjian Wang

Xuyun Chen

Chun Wang

Tao Ji

Zhihong He

Zheng Bao

Xin Hu

Wei Zhuang

Wei Luo

Michael Yip

Qiang Zhu

Ping Ji

Yanling Liu

Xavier Lacarelle

Wu Huang

Weihao Zhao

Chuan Chen

XiaoHong Di

The present disclosure relates to a scene detection method, a chip, an electronic device, and a storage medium, the present disclosure detects periodic scenes, which helps to improve the accuracy of motion estimation.

Scene detection method, chip, electronic device, and storage medium

A static identification area detecting method and module, chip, electronic device and medium, which can improve the accuracy of static identification area detection.

Static identification area detecting method and module, chip, electronic device and medium

A method for detecting a static logo of a video, an electronic apparatus and a storage medium. The method includes: calculating a pixel grayscale flag value, an edge gradient flag value and an edge direction flag value; calculating, in a preset neighborhood centered on the pixel at each pixel position of the current video frame, a first local confidence degree of the pixel grayscale flag value, a second local confidence degree of the edge gradient flag value, and a third local confidence degree of the edge direction flag value respectively; calculating a contribution score of each local confidence degree and a total contribution score of each pixel position; and gathering the total contribution score of each pixel position of the current video frame, and determining a static logo in the current video frame according to the total contribution score of each pixel position.

Method, electronic apparatus and storage medium for detecting a static logo of a video

A method for estimating a motion vector of a pixel block, a video processing apparatus, an electronic device and a storage medium. The method for estimating the motion vector of the pixel block includes: obtaining a plurality of candidate motion vectors of a current pixel block in a current video frame, the plurality of candidate motion vectors comprising at least a down-sampled candidate motion vector; calculating a confidence degree for a difference value between each of other candidate motion vectors except for the down-sampled candidate motion vector in the plurality of candidate motion vectors and the down-sampled candidate motion vector; and determining one candidate motion vector in the other candidate motion vectors as the motion vector of the current pixel block, the confidence degree for the difference value between the one candidate motion vector and the down-sampled candidate motion vector is highest.

Method, video processing apparatus, device, and medium for estimating a motion vector of a pixel block

The present disclosure relates to a motion compensation method and module, a chip, an electronic device, and a storage medium, to improve the problem of haloes easily appearing on the edges of moving objects.

Motion compensation method and module, chip, electronic device and storage media

The present disclosure relates to a motion estimation method, a chip, an electronic device, and a storage medium. The present disclosure is beneficial to improving the accuracy of motion estimation.

Motion estimation method, chip, electronic device, and storage medium

A method, apparatus and electronic device for detecting a display region of a video image in real time. The method includes: determining a bright pixel threshold line that distinguishes a display region from a black edge region of the current frame of image according to a pixel value of each pixel; determining a time-domain warning line according to time-domain motion statistic values of each row and each column of pixels of the current frame of image; determining a target optimal gradient line that distinguishes the display region from the black edge region of the current frame of image; and determining a boundary bright line between the display region and the black edge region of the current frame of image according to the bright pixel threshold line, the time-domain warning line and the target gradient line to determine the display region of the current frame of image.

Method, apparatus and electronic device for detecting a display region of a video image in real time

A method for selecting a reference frame, an electronic device, and a storage medium. The method includes: calculating a sum of absolute values of pixel brightness differences of corresponding pixel locations in a current frame and a previous frame in a video; determining frame attribute of the current frame based on the sum of absolute values of pixel brightness differences, the frame attribute including a raw frame and a duplicate frame; counting a number of raw frames in M historical frames previous to the current frame; obtaining a current frame interpolation step size based on the number of raw frames in the M historical frames; obtaining a next frame phase to be interpolated based on a current frame interpolation phase and the current frame interpolation step size; and determining an interpolation reference frame based on the next frame to be interpolated.

Method for selecting reference frame, electronic device, and storage medium

A method to convert two-dimensional ('2D') image content into three-dimensional ('3D') image content for display on a display device, comprises the steps of: analyzing the 2D image content for predefined indicators and generating a depth map for each of the predefined indicators; determining a combined depth map as a function of the generated depth maps; and generating the 3D image content for display on the display device as a function of the combined depth map.

2D to 3D image conversion device and method

A video processing system for de-interlacing a video signal comprises a motion estimation block, a refinement motion estimation block, and a de-interlacer. The motion estimation block generates integer motion vectors for the video signal. The refinement motion estimation block generates fractional motion vectors as a function of the generated integer motion vectors and select frames of the video signal. The de-interlacer generates an output as a function of the generated fractional motion vectors and the selected frames of the video signal.

Motion compensated de-interlacing and noise reduction

A method for determining a chroma gain for a modulated chroma signal, comprises the steps: receiving the modulated chroma signal; generating a first chroma gain as a function of a color burst of the received modulated chroma signal; generating a second chroma gain as a function of a peak amplitude of the modulated chroma signal; and determining a final chroma gain for the received modulated chroma signal as a function of the first generated chroma gain and the second generated chroma gain, wherein the determined chroma gain is applied on the modulated chroma signal.

Chroma automatic gain control

A method for calibrating an image capture device, comprises the steps of: applying lighting levels onto the image capture device; capturing luma values for the applied lighting levels; calculating luma gains for lens coordinates as a function of the applied lighting levels and the captured luma values, wherein each of the lens coordinates having multiple ones of the calculated luma gains; and storing the calculated luma gains to calibrate the image capture device.

Methods and systems for lens shading correction

A method for processing video data, comprises the steps of: decoding a stream of the video data; post-processing the decoded stream as a function of a video data packing format, wherein the decoded stream having first view pixels and second view pixels and wherein the first view pixels and the second view pixels are stored in line buffers according to the video data packing format; and outputting the post-processed stream to a display, wherein the line buffers output the first view pixels and the second view pixels to the display in a displayable format.

Methods and systems for processing 3D video data

A method for detecting motion in video fields of video data, comprises the steps of: calculating texture information for a pixel in the video fields; determining a threshold value as a function of the calculated texture information; calculating a differential value for the pixel; and detecting motion in the video fields as a function of the determined threshold value and the calculated differential value.

Motion detection in video fields

A method for detecting edges in a video field, comprising the steps of: selecting edges for a pixel of the video field; determining sum of absolute differences ('SAD') values for the selected edges; determining inverse SAD ('ISAD') values for the selected edges; and detecting one or more certain ones of the selected edges as a valid edge as a function of the determined SAD values and the determined ISAD values.

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San Jose, CA, United States of America

Dongjian Wang