Abstract: The disclosure is related to a method and system for evaluating advertising effects of video content. The evaluation method includes presenting video content including a character to a viewer through a display, extracting pieces of facial micro-movement data (MMD) of the character in the video content and the viewer, while the viewer watches the video content, calculating a similarity of the MMD of the character and the MMD of the viewer, and calculating an advertising effect score of the video content on the basis of the similarity.

Abstract: In a method of guaranteeing a jitter upper bound for a network without time-synchronization, which guarantees a jitter upper bound for a flow that is transmitted from a source to a destination through a network, the network guarantees a latency upper bound of the flow, a buffer located between the network and the destination holds a packet of the flow for a predetermined buffer holding interval and then outputs, and the jitter upper bound is set to an arbitrary value including 0 (zero).

Abstract: The disclosed method may include: generating, by using an object generator, a first feature map object class having a multi-layer feature map downsampled from a frame image into different sizes by processing a video; obtaining an upsampled, multi-layer feature map by upsampling a multi-layer feature map of the first feature map object class, and obtaining a second feature map object class by performing a convolution operation on the up-sampled multi-layer feature map; detecting a human object corresponding to the one or more real humans from the second feature map, and separating the human objects; detecting, motions of key points of the human objects and converting motions of the real humans into data and generating motion information; creating synthetic video content by synthesizing the human objects into a background image; and displaying the synthetic video content on a display and selectively displaying the motion information.

Abstract: A method and an apparatus for separating a human object from video and estimating a posture, the method including: obtaining video of one or more real people, using a camera; generating a first feature map object having multi-layer feature maps down-sampled to different sizes from a frame image, by processing the video in units of frames; obtaining an upsampled multi-layer feature map by upsampling the multi-layer feature maps of the first feature map object, and obtaining a second feature map object, by performing convolution on the upsampled multi-layer feature map with the first feature map; detecting and separating a human object corresponding to the one or more real people from the second feature map object; and detecting a keypoint of the human object.

Abstract: The present disclosure provides a system for network delay guarantee based on flow aggregates and interleaved regulators according to an embodiment of the present disclosure includes: at least one unit network configured to guarantee first-in-first-out (FIFO) for flow aggregates; and at least one interleaved regulator per flow aggregate located at input port or an output port of the at least one unit network, wherein among flows passing through the unit network, flows having the same network input port and the same network output port are aggregated into a single flow aggregate.

Abstract: A method of reconstructing a three-dimensional (3-D) image on the basis of a diffraction grating includes extracting parallax images from a raw image of an object photographed by using a diffraction grating and reconstructing a 3-D image from the extracted parallax image array by using a virtual pinhole model.

Abstract: The disclosure is related to a method and system for evaluating advertising effects of video content. The evaluation method includes presenting video content including a character to a viewer through a display, extracting pieces of facial micro-movement data (MMD) of the character in the video content and the viewer, while the viewer watches the video content, calculating a similarity of the MMD of the character and the MMD of the viewer, and calculating an advertising effect score of the video content on the basis of the similarity.

Abstract: The present disclosure provides a method and system for emotional evaluation based on heart-face movement synchronization. The evaluation method extracts a subject's facial image and heart information, extracts micro-movement data of an action unit (AU) defined in a face region from the facial image, extracts heart-evoked micro-movement (HEMM) data from micro-movement data in synchronization with a heartbeat characteristic signal obtained from heart information, extracts one or more characteristic parameters for the AU movement from the HEMM, evaluates the emotion of the subject using the characteristic parameter.

Abstract: Provided is an empathy evaluation method and apparatus using video characteristics information. The empathy evaluation method includes establishing a video database by collecting a plurality of video clips, classifying and labeling each of the video clips by empathy, preparing training data by extracting a region of interest (ROI) video from each of the video clips and extracting physical characteristics from the ROI video, generating a video characteristics model file obtained through learning using the training data include 2 labels(empathy/non-empathy) vector that is calculated by the difference between the metric measurement size trained with respect to the video characteristics. Test video into the system can automatically judge the empathy evaluation of video.

Abstract: Provided is a method of reconstructing an integral image based on computational integral imaging reconstruction (CIIR), the method including determining a crop ratio of an original elemental image array (EIA), cropping each elemental image in the original EIA according to the determined crop ratio to generate a cropped and translated EIA, magnifying each elemental image in the cropped and translated EIA according to an adjustable magnification factor (k), overlapping the magnified elemental images with an overlapping number that is adjusted according to the adjustable magnification factor (k), and normalizing the overlapping elemental images to generate a reconstructed image.

Abstract: A lifting transform method performed on an elemental image array may perform a lifting transform on an elemental image array to obtain a difference image (or an error image representing a prediction error) and movement information used for prediction and may appropriately reorder the difference image to obtain a wavelet-type elemental image array.

Abstract: A method of creating a fiducial marker image includes setting option information about a fiducial marker, calculating size information about each of parameters of the fiducial marker on the basis of the set option information, adding identification (ID) bit information on the basis of the calculated size information to generate a cell matrix, and adding color information to the generated cell matrix to create a fiducial marker image.

Abstract: Provided are a method and apparatus for forecasting power demand. The method of forecasting power demand includes forming weighted power demand data by assigning different weights to power demand data according to the frequency of the power demand data, and forming a power demand forecasting model by recurrent neural network (RNN)-based deep learning using the weighted power demand data. From the power demand forecasting model, a power demand forecasting value is extracted using a forecast target label or index information.

Abstract: A wireless earphone capable of voice communication includes a first wireless earphone 110 which is paired with a first mobile device 100 and performs transmission and reception, and a second wireless earphone 210 which is paired with a second mobile device 200 and performs transmission and reception, wherein the first mobile device and the first wireless earphone include a pairing unit for pairing the first mobile device and the first wireless earphone and a pairing unit 111 for the first wireless earphone 110, respectively, and the second wireless earphone includes a pairing unit 211 for pairing with the first wireless earphone.

Abstract: A wireless earphone capable of voice communication includes a first wireless earphone 110 which is paired with a first mobile device 100 and performs transmission and reception, and a second wireless earphone 210 which is paired with a second mobile device 200 and performs transmission and reception, wherein the first mobile device and the first wireless earphone include a pairing unit for pairing the first mobile device and the first wireless earphone and a pairing unit 111 for the first wireless earphone 110, respectively, and the second wireless earphone includes a pairing unit 211 for pairing with the first wireless earphone.

Abstract: A lifting transform method performed on an elemental image array may perform a lifting transform on an elemental image array to obtain a difference image (or an error image representing a prediction error) and movement information used for prediction and may appropriately reorder the difference image to obtain a wavelet-type elemental image array.

Abstract: A method of reconstructing a three-dimensional (3-D) image on the basis of a diffraction grating includes extracting parallax images from a raw image of an object photographed by using a diffraction grating and reconstructing a 3-D image from the extracted parallax image array by using a virtual pinhole model.

Abstract: Provided is a method of reconstructing an integral image based on computational integral imaging reconstruction (CIIR), the method including determining a crop ratio of an original elemental image array (EIA), cropping each elemental image in the original EIA according to the determined crop ratio to generate a cropped and translated EIA, magnifying each elemental image in the cropped and translated EIA according to an adjustable magnification factor (k), overlapping the magnified elemental images with an overlapping number that is adjusted according to the adjustable magnification factor (k), and normalizing the overlapping elemental images to generate a reconstructed image.

Abstract: Provided are a method and system for detecting information of brain-heart connectivity, the method comprising: obtaining moving images of a pupil and an electrocardiogram (ECG) signal from a subject; acquiring a pupil size variation (PSV) from the moving images by separating the moving images at a predetermined time range after R-peak of the ECG signal; extracting signals of a first period and a second period from the PSV; calculating alpha powers of the signals of the first and second periods at predetermined frequencies respectively.

Abstract: A method of creating a fiducial marker image includes setting option information about a fiducial marker, calculating size information about each of parameters of the fiducial marker on the basis of the set option information, adding identification (ID) bit information on the basis of the calculated size information to generate a cell matrix, and adding color information to the generated cell matrix to create a fiducial marker image.