Korea Advanced Institute of Science and Technology

Samsung Electronics Co., Ltd.

Samsung Techwin Co., Ltd.

In-So Kweon

Sungjin Kim

Si-hwa Lee

Doo-hyun Kim

Jeong-Eun Lim

Nam Il Kim

Kyungsu Kim

Seung-In Noh

Jun-Sik Kim

Sanghyun Woo

Dahun Kim

Hye-Yun Kim

In Wook Shim

Joon Young Lee

Yukyung Choi

Tae-Hyun Oh

Ha-Na Hong

Doo-Hyun Kim

Yunjae Jung

Soonmin Hwang

Young-Geun Kim

Si-Hwa Lee

An electronic device and a method thereof are provided. The electronic device includes: a memory and a processor configured to: acquire feature data of a plurality of images in a video using a first artificial neural network of a first artificial intelligence model; acquire a plurality of key frames of the video based on the feature data of the plurality of images using a second artificial neural network of the first artificial intelligence model; acquire first feature data of remaining key frames excluding at least one of the plurality of key frames using a first artificial neural network of a second artificial intelligence model; acquire second feature data including information about relationships between the remaining key frames based on the first feature data using a second artificial neural network of the second artificial intelligence model; and acquire texts for the plurality of key frames based on the second feature data.

Electronic device for key frame analysis and control method thereof

A depth estimating apparatus operated by at least one processor includes: a database which stores a photographed first color image, a training thermal image geometrically aligned with the first color image, and a second color image simultaneously photographed with the first color image as a training image set; and a training apparatus which trains a neural network in an unsupervised manner to output a chromaticity image and a binocular disparity image from the training thermal image. The training apparatus generates an estimated first color image from the second color image, the chromaticity image, and the binocular disparity image, and trains the neural network to minimize a difference between the estimated first color image and the photographed first color image.

Apparatus and method for depth estimation based on thermal image, and neural network learning method therefof

As an apparatus for adjusting camera exposure, the apparatus includes: a virtual image generator generating a plurality of virtual images by changing brightness of an image photographed by a camera; a feature image generator generating a plurality of feature images respectively indicating features of the plurality of virtual images; and an exposure controller corresponding a feature value of the plurality of feature images to brightness, estimating reference brightness that corresponds to the maximum feature value, increasing camera exposure when the reference brightness is brighter than the photographed image, and decreasing the camera exposure when the reference brightness is darker than the photographed image.

Apparatus and method for adjusting camera exposure

An image optimized rolling cache system extracts pixel information and address information of a corresponding pixel from an input image to store the extracted pixel information and the extracted address information, and processes the image by applying a vertical rolling mechanism or a horizontal rolling mechanism using the stored information.

Image optimized rolling cache system

A method and system for detecting motion are provided. The method includes: generating a time domain matrix including vectors corresponding to variation of pixel values as elements of the time domain matrix, of a video image including a plurality of frames; generating a motion matrix from which a low frequency area of the video image is removed by multiplying the time domain matrix by a low rank matrix; and generating a result image including a plurality of frames in which vectors, which are elements of the motion matrix, are included as variation of motion pixel values.

Method and system for detecting matrix-based motion including frequency transform and filtering

An image encoding and/or decoding apparatus and method are provided. The image encoding apparatus includes: a transform unit removing spatial redundancy by transforming an original image being input; an allowable noise obtaining unit obtaining an allowable noise from the original image; a quantization parameter determination unit determining a quantization parameter by using the allowable noise; a quantization unit generating a quantized coefficient, by quantizing a transform coefficient provided from the transform unit by using the quantization parameter; and an entropy encoding unit entropy encoding the quantized coefficient to remove statistical redundancy.

Apparatus for encoding and decoding image and method thereof

The invention relates to a camera calibration system and method thereof which is capable of easily performing camera calibration using a concentric circle pattern. According to the invention, a method of calibrating a camera calibrates the intrinsic parameters of the camera required to measure geometric information of an object using projection invariable characteristics of concentric circles. The method includes the steps of taking images of the calibration pattern consisting of two or more concentric circles located in the same plane and having different radius at different angles to obtain projected images calculating the central point of the projected images using a given algorithm, and calculating the principal point and focal point of camera using a nonlinear minimization algorithm based on the central point thus obtained.

Camera calibration system using planar concentric circles and method thereof

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Daejeon, South Korea

In-So Kweon