Mediatek Corporation

Tung-Chien Chen

Pei-Kuei Tsung

Yu-Ting Chen

Chih-Wen Goo

Yu-Cheng Tseng

Kuo-Chiang Lo

Yu-Sheng Lin

Chih-Wei Chen

Yao-Sheng Wang

Cheng-Lung Jen

Chia-Da Lee

Cheng Lung Jen

Kuo-Chen Huang

Ming-En Shih

Ping-Yuan Tsai

Chun Hsien Wu

Hsin-Min Peng

Tsu Jui Hsu

Yu-Lin Hou

An image processing circuit performs super-resolution (SR) operations. The image processing circuit includes memory to store multiple parameter sets of multiple artificial intelligence (AI) models. The image processing circuit further includes an image guidance module, a parameter decision module, and an SR engine. The image guidance module operates to detect a representative feature in an image sequence including a current frame and past frames within a time window. The parameter decision module operates to adjust parameters of one or more AI models based on a measurement of the representative feature. The SR engine operates to process the current frame using the one or more AI models with the adjusted parameters to thereby generate a high-resolution image for display.

Image-guided adjustment to super-resolution operations

A video processing system includes an input port and a video processing circuit. The input port obtains device information of a display panel. The video processing circuit obtains an input frame and the device information, configures an image enhancement operation according to the device information, generates an output frame by performing the image enhancement operation upon the input frame, and transmits the output frame to the display panel for video playback.

Video processing system for performing artificial intelligence assisted picture quality enhancement and associated video processing method

A measurement apparatus and method for measuring a vital sign of a subject are provided. A plurality of frames showing a subject is captured. A region of interest (ROI) on the subject is detected. A vital-sign signal is generated according to the sensing signals related to the ROI. A quality index of the vital-sign signal is evaluated. Whether the subject is a living body is determined according to the quality index. A determination result of determining whether the subject is the living body is used to control a heart-rate measurement operation.

Living body determination devices and methods

A detection method and a detection device for detection of at least one region of interest (ROI) using the same are provided. A plurality of successive frames is captured by an image sensor. A first frame among the plurality of successive frames is divided into a plurality of sub regions. A first vital-sign feature of a first sub region among the plurality of sub regions is obtained. A first feature signal is generated according to the first vital-sign feature. Whether the first feature signal is a first valid image signal is determined. When it is determined that the first feature signal is a first valid image signal, the first sub region is identified as a first ROI. In the frames occurring after the first frame, the first ROI is tracked.

Detection devices and methods for detecting regions of interest

A method for life sign monitoring and associated controller is provided. The method includes: obtaining a video signal, performing an activity modeling on the video signal to provide an activity signal, performing a vital sign extraction on the video signal to provide a vital sign, performing a filtering on the vital sign in view of the activity signal to suppress a correlation between the activity signal and the vital sign, and accordingly providing a filtered vital sign; and, according to the filtered vital sign and whether the activity signal exceeds an activity threshold range, providing a joint decision for categorizing result of life sign monitoring to one of a plurality of predetermined episodes.

Method and associated controller for life sign monitoring

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Taipei, Taiwan

Tung-Chien Chen