Novatek Microelectronics Corp.

Amlogic (shanghai) Co., Ltd.

Gree Electric Appliances, Inc. of Zhuhai

Shanghai Yanfeng Jinqiao Automotive Trim Systems Co. Ltd.

Other

Huawei Technologies Co., Limited

Novatek (shanghai) Co., Ltd.

Amlogic Co., Limited

Chun Wang

Jing Xu

Tao Ji

Dongjian Wang

Xuyun Chen

Chun-Wei Chen

Jian-De Jiang

Zhihong He

Lei Zhou

Heng Yu

Guang-Zhi Liu

Xiaotong Liu

Zheng Bao

Wei Liu

Tsui-Chin Chen

Yong Wu

Jianjun Yang

Siqing Ye

Jinhong Zhang

Jin Niu

Jianqun Yang

Yu-Shu Liu

Yongchao Liang

Pengyu Chen

Peili Li

Ding Yu

Ping Ji

Yuping Gao

Yonghong Luo

Zuqing Chen

Qiyang Peng

Hsiao-En Chang

Yuan-Jia Du

Xin Huang

Jian-Hua Liang

Guangzhi Liu

Yuanjia Du

Yen-Sung Chen

Chunyuan Chen

Wan-Hsi Hsieh

Pengyuan Hu

Yongchao Li

Xing-Rui Wang

Yanling Liu

Shixi Bu

Lin Zha

Jian-de Jiang

Jingfang Zha

Qingjiang Wang

Embodiments of this application disclose a signal processing method and a related apparatus, to estimate a passive intermodulation (PIM) signal strength. The method in embodiments of this application includes: obtaining first downlink signal data corresponding to each of N cells in a preset bandwidth resource scheduling solution. Then, first characteristic data corresponding to each piece of the first downlink signal data is determined. Then, a first passive intermodulation PIM signal strength corresponding to a first cell is determined based on a preset signal strength evaluation model and the first characteristic data corresponding to each of the N cells, to accurately estimate impact of the first PIM signal on the first cell.

Method and apparatus for determining passive intermodulation signal strength in a communication network

A method for processing an image, an apparatus for processing an image, an electronic device, and a storage medium. The method includes: obtaining a first aim-to-mask flag of a pixel to be interpolated; obtaining second aim-to-mask flags of pixels in a preset neighborhood of the pixel to be interpolated; determining flag categories and a number corresponding to each of the flag categories, in the first aim-to-mask flag and the second aim-to-mask flags; obtaining a third aim-to-mask flag of the pixel to be interpolated based on the flag categories and the number corresponding to each of the flag categories; obtaining interpolation data of the pixel to be interpolated based on the third aim-to-mask flag of the pixel to be interpolated; and performing motion compensation on the pixel to be interpolated based on the interpolation data.

Method and apparatus for processing image, electronic device, and storage medium

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

A vehicle interior component comprising a cover with a surface providing a display region is disclosed. The component may comprise a composite layer/structure and light source to provide light at a first and a second visible color/wavelength. The composite layer may comprise light-transmissive segments with color and light-transmissive transparent/translucent segments; light at the first wavelength is transmitted through a first segment and transparent/translucent segment to present a first image/visual effect at the display region; light at the second wavelength is transmitted through a second segment and transparent/translucent segment to present a second image/visual effect at the display region; light at the first wavelength is obstructed by the second segment; light at the second wavelength is obstructed by the first segment; transparent/translucent segments transmit light at first and second wavelengths. The composite layer may comprise a multi-layer form on the cover.

Vehicle interior component

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

Vehicle interior component having a composite structure

An image processing method and an image processing apparatus that utilize scrolling text information and moving edge-pairs of an edge map to determine text regions in interpolated frame is introduced herein. Text blocks are detected according to the moving edges-pair of the edge map. Next, a first moving vector histogram and a second moving vector histogram are built according to the detected text blocks. An existence of scrolling text and motion vector of the scrolling text in the frames are determined according to the first and second moving vector histograms. A scrolling text region in at least one of the first frame and the second frame is determined in block line unit, and positions of each scrolling text pixels in an interpolated are determined according to the motion vector of the scrolling text and the scrolling text region in the at least one of the first frame and the second frame.

Method for scrolling text processing and image processing apparatus using the same

The invention relates to the field of channel coding and modulation technique, more specifically, to a single-carrier channel estimation method, comprising: equalizing a carrier of an input current-frame signal and of a channel of the current-frame signal, to obtain a sequence code of the current-frame signal, decision value of transmission sequence of the current-frame signal and estimated value of signal-to-noise ratio of the current-frame signal; calculating the current-frame signal, the sequence code and the estimated value of signal-to-noise ratio to obtain a initial channel estimation; calculating the current-frame signal, the decision value of transmission sequence and the estimated value of signal-to-noise ratio to obtain a reference channel; obtaining a filtered channel value after filtering the reference channel; and obtaining the estimated channel of the next-frame signal after implementing adaptive filtering on the estimated value of initial channel and filtered channel value, by reference to the reference channel.

Single-carrier channel estimation method

Provided is a compressor over-load protection control method. The method includes that: the state of a compressor is detected (S); it is judged whether the compressor is under over-load protection (S); and when the compressor is under the over-load protection, fluorine shortage protection is shielded (S). A compressor over-load protection control apparatus includes: a detection unit (), configured to detect the state of a compressor; a judgement unit (), configured to judge whether the compressor is under over-load protection; and a shielding unit (), configured to shield fluorine shortage protection when the compressor is under the over-load protection. Through the method and apparatus, the problem in the relevant art that a fluorine shortage false alarm is easily triggered is solved, thereby achieving the effect of preventing the fluorine shortage false alarm when the compressor is under the over-load protection.

Compressor over-load protection control method and apparatus

Growing community of inventors

Shanghai, China

Chun Wang