Mediatek Corporation

Cheng-Lung Jen

Pei-Kuei Tsung

Chih-Wen Goo

Yu-Sheng Lin

Chih-Wei Chen

Yao-Sheng Wang

Kuan-Yu Chen

Shih-Chin Lin

Hung-Jen Chen

Ying-Chieh Chen

Chien-Yu Huang

Tung-Chien Chen

Yu-Cheng Tseng

Shih-Che Chen

Kuo-Chiang Lo

Chia-Da Lee

Tsung-Shian Huang

Chia-Ni Lu

Shao-Yi Wang

Yu-Lin Hou

Chih-wei Chen

Yu Chieh Lan

Hsiao-Chien Chiu

A frame interpolation method for generating a third image frame interpolated between a first image frame and a second image frame includes: performing motion estimation upon a first input image frame and a second input image frame, to obtain a single-directional motion, wherein the first input image frame is derived from the first image frame, and the second input image frame is derived from the second image frame; scaling the single-directional motion according to a time point of the third image frame, to generate a scaled motion; deriving a forward-warped result from a result of performing a forward warping operation and a first inverse operation upon the scaled motion; performing a second inverse operation upon the forward-warped result, to generate an inversed result; and generating the third image frame according to the first image frame, the second image frame, the forward-warped result, and the inversed result.

Method for performing frame interpolation based on single-directional motion and associated non-transitory machine-readable medium

Aspects of the disclosure provide a frame processor for processing frames with aliasing artifacts. For example, the frame processor can include a super-resolution (SR) and anti-aliasing (AA) engine and an attention reference frame generator coupled to the SR and AA engine. The SR and AA engine can be configured to enhance resolution and remove aliasing artifacts of a frame to generate a first high-resolution frame with aliasing artifacts and a second high-resolution frame with aliasing artifacts removed. The attention reference frame generator can be configured to generate an attention reference frame based on the first high-resolution frame and the second high-resolution frame.

AI frame engine for mobile edge

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

An object detection apparatus includes a boundary box decision circuit and a processing circuit. The boundary box decision circuit receives lens configuration information of a lens, and refers to the lens configuration information to determine a bounding box distribution of bounding boxes that are assigned to different detection distances with respect to the lens for detection of a target object. The processing circuit receives a captured image that is derived from an output of an image capture device using the lens, and performs object detection upon the captured image according to the bounding box distribution of the bounding boxes.

Method and apparatus for performing object detection according to bounding box distribution that is determined by considering lens configuration

Growing community of inventors

Hsin-Chu, Taiwan

Cheng-Lung Jen