• Journal of the Institute of Convergence Signal Processing
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• v.3 no.1
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• pp.15-20
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• 2002

The frame coding inside the screen for a video coder has a big influence on the quality of the whole frame. The standardized video coder uses DCT, however it can give rise to a low image quality due to the blocking effect at low bit rate. This paper proposes a video coding method for an image quality improvement in human visual aspects. With the proposed method, the perceptual weight is coded with SPIHT and VLC by applying it into the frame and the visual noises are eliminated.

• Journal of Korea Multimedia Society
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• v.17 no.4
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• pp.420-432
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• 2014

In detection of moving objects from video sequences, an essential process for intelligent visual surveillance, the cast shadows accompanying moving objects are different from background so that they may be easily extracted as foreground object blobs, which causes errors in localization, segmentation, tracking and classification of objects. Most of the previous research results about moving cast shadow detection and removal usually utilize color information about objects and scenes. In this paper, we proposes a novel cast shadow removal method of moving objects in gray level video data for visual surveillance application. The proposed method utilizes observations about edge patterns in the shadow region in the current frame and the corresponding region in the background scene, and applies Laplacian edge detector to the blob regions in the current frame and the corresponding regions in the background scene. Then, the product of the outcomes of application determines moving object blob pixels from the blob pixels in the foreground mask. The minimal rectangle regions containing all blob pixles classified as moving object pixels are extracted. The proposed method is simple but turns out practically very effective for Adative Gaussian Mixture Model-based object detection of intelligent visual surveillance applications, which is verified through experiments.

• Proceedings of the Korean Society of Precision Engineering Conference
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• 1996.04a
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• pp.254-258
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• 1996

In this paper, we proposed realtime visual tracking system of moving object for 2D target using extended Kalman Filter Algorithm. A targeting marker are recongnized in each image frame and positions of targer object in each frame from a CCD camera while te targeting marker is attached to the tip of the SCARA robot hand. After the detection of a target coming into any position of the field-of-view, the target is tracked and always made to be located at the center of target window. Then, we can track the moving object which moved in inter-frames. The experimental results show the effectiveness of the Kalman filter algorithm for realtime tracking and estimated state value of filter, predicting the position of moving object to minimize an image processing area, and by reducing the effect by quantization noise of image

• Journal of the Korea Society of Computer and Information
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• v.21 no.9
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• pp.37-43
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• 2016

This paper introduces a method for video shot group detection needed for efficient management and summary of video. The proposed method detects shots based on low-level visual properties and performs temporal and spatial clustering based on visual similarity of neighboring shots. Shot groups created from temporal clustering are further clustered into small groups with respect to visual similarity. A set of representative shot frames are selected from each cluster of the smaller groups representing a scene. Shots excluded from temporal clustering are also clustered into groups from which representative shot frames are selected. A number of video clips are collected and applied to the method for accuracy of shot group detection. We achieved 91% of accuracy of the method for shot group detection. The number of representative shot frames is reduced to 1/3 of the total shot frames. The experiment also shows the inverse relationship between accuracy and compression rate.

• Journal of Korea Game Society
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• v.21 no.6
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• pp.111-124
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• 2021

Starting with painting, it is the frame that plays the main role in movies, cartoons, and games as well as the act of attracting the audience's attention. Knowing about a frame is to be able to read and use the frame. Therefore, this paper deals with frames of digital games, especially multiple frames that complement the limited configuration of primary frames. In this paper, frame within frames are classified into structural frames, which are the basic components of the game, temporal frames, which reflect player behavior, and surface frames representing the characteristics of existing visual media. Through this, we examine the aspects of frame within a frame as digital game design equipment. This paper is meaningful in that it derives the possibility of using frame within a frame of games in the future and provides a mechanism for frame within a frame analysis.

• Journal of the Korean Institute of Intelligent Systems
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• v.17 no.3
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• pp.349-354
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• 2007

To generate the template of a detected object and to track the overlapped object and the object covered by other objects correctly are important research problems in visual surveillance. The frame difference is not capable of generating the template of slowly moving object. To get around the drawback of the conventional frame difference, we propose a new algorithm for generating a template using adaptive 3-frame difference.

• Journal of Korean Ophthalmic Optics Society
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• v.20 no.4
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• pp.477-484
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• 2015

Purpose: This study was investigated to evaluate the effect of the variation of the face form angle(FFA) of spectacle frame on the visual acuity and the visual function. Methods: The visual acuity, the contrast sensitivity, the stereopsis, and the phoria were measured with the spectacle frame whose the FFA is at $5^{\circ}$ and $25^{\circ}$ and the surveys were conducted on subjective symptoms. Here, 30 adults (14 men and 16 women, average age:$25.46{\pm}3.9$), who did not have ocular diseases and were fully corrected in case of having had refractive error, were to act as experimental subjects for this measurement. Results: The visual acuity and the contrast sensitivity was decreased and the phoria was tended to increase to the esophoria direction at the FFA $25^{\circ}$ than at the FFA $5^{\circ}$. The stereopsis was significantly reduced at the FFA $25^{\circ}$ than at the FFA $5^{\circ}$. Also when the FFA was larger, the higher the degree of refractive error was, the more the increase of the subjective symptoms such as being blurred characters, being disturbed head, and having sore eyes was, which reveals a statistically significant correlation between them. Conclusions: If the FFA increases, the visual acuity, the contrast sensitivity and the stereopsis was found to decrease and the phoria to increase to the esophoria direction. Therefore it shows that the variation of the FFA of spectacle frame can influence the visual acuity and the visual function.

• Journal of Institute of Control, Robotics and Systems
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• v.21 no.12
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• pp.1109-1114
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• 2015

This paper presents an improved learning-based visual inspection method for auto parts inspection in severe lighting changes. Automobile sunroof frames are produced automatically by robots in most production lines. In the sunroof frame manufacturing process, there is a quality problem with some parts such as volts are missed. Instead of manual sampling inspection using some mechanical jig instruments, a learning-based machine vision system was proposed in the previous research[1]. But, in applying the actual sunroof frame production process, the inspection accuracy of the proposed vision system is much lowered because of severe illumination changes. In order to overcome this capricious environment, some selective feature vectors and cascade classifiers are used for each auto parts. And we are able to improve the inspection accuracy through the re-learning concept for the misclassified data. The effectiveness of the proposed visual inspection method is verified through sufficient experiments in a real sunroof production line.

• Journal of the Institute of Electronics and Information Engineers
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• v.54 no.1
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• pp.80-87
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• 2017

This paper proposes a pre-processing algorithm to improve perceptual video coding efficiency which decomposes an input frame via a sub-band decomposition, and suppresses only high frequency band(s) having low visual sensitivity. First, we decompose the input frame into several frequency subbands by a linear sub-band decomposition. Next, high frequency subband(s) which is rarely recognized by human visual system (HVS) is suppressed by applying relatively small gain(s). Finally, the high frequency suppressed frame is compressed by a specific video encoder. We can find from the experimental results that if comparing before-use and after-use of the proposed pre-processing prior to the encoder, no visual difference is shown. Also, the proposed algorithm achieves bit-saving of 13.12% on average in a H.264 video encoder.

• Korean Institute of Interior Design Journal
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• v.15 no.5 s.58
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• pp.112-119
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• 2006

This study intends to understand the visual experience of architectural space generated by users' movement based on the interpretation of visual properties. An analytic theory of Isovist is suggested for the objective and comparable measurement for such visual experience, and a computer program for the analysis has been proposed as well. By using the analytical theory and computer program, eight houses designed by Adolf Loos and Le Corbusler are analyzed for the purpose of understanding the visual characteristics of the Modern Architecture and the contemporaries. The result shows that, while the architectural space of Loos emphasizes personal privacy as for being livable spaces, the architectural space of Corbusier emphasizes users' movement as for including diverse visual arrays. These commensurable results exhibit that the analytical tool and research frame suggested in this study can be a competitive tool for such analysis.