• Proceedings of the IEEK Conference
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• 2002.07a
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• pp.149-151
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• 2002

We had been developing the variety of parallel processing systems in order to improve the processing speed of visual media applications. These systems were using multi-access memory system(MAMS) as a parallel memory system, which provides the capability of the simultaneous accesses of image points in a line-segment with an arbitrary degree, which is required in many low-level image processing operations such as edge or line detection in a particular direction, and so on. But, the performance of these systems did not give a faithful speed because of asynchronous feature between MAMS and processing elements. To improve the processing speed of these systems, we have been investigated a pipelined parallel processing system using MAMS. Although the system is considered as being the single instruction multiple data(SIMD) type like the early developed systems, the performance of the system yielded about 2.5 times faster speed.

• Journal of the Korean Institute of Telematics and Electronics C
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• v.35C no.3
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• pp.59-68
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• 1998

This paper propose a hardware architecure of multimediasysgem for integrated processing of the multimedia data such as audio and video, and describes on the design and implementation of multimedia integrated processing Unit. The unit comprises most commonly needed multimedia processing function for computer-based video conference: audio-visual datacapture, playback, compression, decompression as well as interleaving/disinterleaving of compressed audio-visual data. The proposed architecture minimizes the CPU overhead that might be caused by multimedia data processing and assures the fluent data flow among system components. Also, this unit is tested and analyzed under the computer-based video conference to confirm the multimedia unit of proposed architecture using communication protocol and application software through Ethernet and FDDI (Fiber Distributed Data Interface) networks.

• The KIPS Transactions:PartB
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• v.10B no.6
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• pp.639-646
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• 2003

This paper proposes a neural network model for extracting optical illusions produced by a sequence of discontinuous dot stimuli. The proposed model is based on visual cell's characters founded by visual information processing path. This study approaches on the basis of physiological observation of the perceptual phenomena that some simple ways of discrete dots are perceived as a continuous virtual contour rather than as separate dots. This paper presents the implementation of the optical illusions from discrete dot stimuli that are composed of virtual polygons from 6 to 10 dots. This experimental data are similar to those of Smith & Vos's physiological experiments. The proposed model shows that it can extract continuous illusion contours from discrete dot stimuli successfully.

• Proceedings of the Korea Information Processing Society Conference
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• 2006.11a
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• pp.277-280
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• 2006

본 논문에서는 가상현실(Virtual Reality) 환경에서 사용자의 입력을 처리할 수 있는 프로젝터 기반의 텐저블 메뉴 시스템을 제안한다. 텐저블 메뉴 시스템이란 텐저블 인터페이스(Tangible Interface)의한 형태로서 가상현실을 체험하고 있는 사용자가 프로젝터를 통해 메뉴 스크린에 투영된 영상을 보면서 디지털 정보를 제어하는 직관적인 상호작용을 지원하는 장치이다. 텐저블 인터페이스의 또다른 형태로서, 디지털 데스크(Digital Desk) 시스템의 경우 프로젝터의 영상이 투영되는 대상이 되는 데스크의 위치가 항상 고정되어 있기 때문에 본 논문에서 제안하는 휴대 가능한 메뉴 시스템에 적용하지 못하는 단점을 가지고 있다. 따라서 본 논문에서는 가상 환경에서의 사용자의 입력이 가능한 메뉴의 위치를 실시간으로 추적하여 메뉴 스크린에 투영되는 영상을 자동으로 보정할 수 있는 방법을 제시한다. 제안된 시스템은 가상 환경상에서 높은 몰입감을 유지할 수 있으며, 가상현실 및 증강현실에서 사용자와의 유연한 상호작용이 가능한 인터페이스 시스템으로 사용 될 수 있다.

• Proceedings of the Korea Information Processing Society Conference
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• 2014.11a
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• pp.1068-1072
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• 2014

We propose a collaborative social tagging for eBook using external DSL approach. The goal of this paper is (1) to provide DSL by which authors can write HTML5 rich contents ebook and tag resources, (2) to make users enhance book by tagging resources easily, (3) to make readers read rich book easily regardless of their devices types, (4) to provide ebook resources of RESTful address style by which other system can identify self-descriptive resources of book. To achieve the goal, we provide Bukle DSL language by which author and users can author and enhance ebook with ease. As a domainspecific language Bukle provides a simple yet expressive language for authoring and tagging books that would otherwise be more difficult to express with a general purpose language. Further work includes visual DSL approach and tools by using that the unskilled users could tag book easily. In order that future work also includes text-to-visual DSL transform engine. UX research is also required to tag and to author book. To tackle the above questions we are looking at using visual notation focusing visual syntax.

• Proceedings of the Korea Information Processing Society Conference
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• 2011.04a
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• pp.526-529
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• 2011

최근 각광 받고 있는 멀티 터치 인터랙션 시스템에서 기존의 디스플레이 방식인 벽면 디스플레이 방식의 네모난 형태의 디스플레이 방식이 아닌 볼록형(Convex) 불규칙 디스플레이 방식으로 산 모양의 디오라마 형태의 디스플레이에서 멀티 터치 인터랙션이 가능한 시스템을 제안한다. 먼저 볼록형 불규칙 표면의 산 디오라마를 제작을 하고 후면 투영 방식으로 프로젝터 영상을 산 디오라마 표면을 대상으로 디스플레이 하고 영상 분석 모듈을 통하여 터치 인터랙션 좌표 정보를 분석한다. 분석된 터치 인터랙션 좌표는 3D 좌표로 변환하고 디스플레이 모듈에 보내면 디스플레이 모듈에서는 인터랙션 메타포로 분석하고 결과를 콘텐츠에 실행시킴으로써 볼록형 불규칙 표면의 산 디오라마에서 멀티 터치 인터랙션에 따른 결과를 사용자가 체감 할 수 있도록 하였다. 본 시스템은 향후 다양한 디오라마 형태로 제작하여 목적에 맞는 전시 시스템으로의 디바이스나 체감형 아케이드 게임 디바이스로 활용이 가능할 것이다.

• Journal of Information Processing Systems
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• v.18 no.6
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• pp.813-821
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• 2022

Intelligent monitoring, life entertainment, medical rehabilitation, and other fields are only a few examples where visual image technology is becoming increasingly sophisticated and playing a significant role. Recognizing Wushu, or martial arts, movements through the use of visual image technology helps promote and develop Wushu. In order to segment and extract the signals of Wushu movements, this study analyzes the denoising of the original data using the wavelet transform and provides a sliding window data segmentation technique. Wushu movement The Wushu movement recognition model is built based on the hidden Markov model (HMM). The HMM model is trained and taught with the help of the Baum-Welch algorithm, which is then enhanced using the frequency weighted training approach and the mean training method. To identify the dynamic Wushu movement, the Viterbi algorithm is used to determine the probability of the optimal state sequence for each Wushu movement model. In light of the foregoing, an HMM-based martial arts movements recognition model is developed. The recognition accuracy of the HMM model increases to 99.60% when the number of samples is 4,000, which is greater than the accuracy of the SVM (by 0.94%), the CNN (by 1.12%), and the BP (by 1.14%). From what has been discussed, it appears that the suggested system for detecting martial arts acts is trustworthy and effective, and that it may contribute to the growth of martial arts.

• Journal of the Korean Society for Aviation and Aeronautics
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• v.18 no.1
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• pp.72-82
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• 2010

This study investigated how air traffic controllers (ATCs) perceive the visual information on radar screen and examined quantitative and qualitative differences as a function of expertise. Little research has shown that how much information is processed by ATC visually and perceptually, how ATCs represent the information, and what difference exists between experts and novices. Participants were asked to draw representing visual information on the blank sector map after a 5-second exposure. Data were analyzed by a superimposing method to identify correctly represented information. Results showed that the expert group had much larger size of chunking and their pattern was wider and more accurate than the novice group. The practical application and methodological implications are also discussed for further research.

• Journal of the Institute of Electronics Engineers of Korea CI
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• v.41 no.3
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• pp.67-77
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• 2004

The recent research has been focused on fusion of audio and visual features for reliable speech recognition in noisy environments. In this paper, we propose a neural network based model of robust speech recognition by integrating audio, visual, and contextual information. Bimodal Neural Network(BMNN) is a multi-layer perception of 4 layers, each of which performs a certain level of abstraction of input features. In BMNN the third layer combines audio md visual features of speech to compensate loss of audio information caused by noise. In order to improve the accuracy of speech recognition in noisy environments, we also propose a post-processing based on contextual information which are sequential patterns of words spoken by a user. Our experimental results show that our model outperforms any single mode models. Particularly, when we use the contextual information, we can obtain over 90% recognition accuracy even in noisy environments, which is a significant improvement compared with the state of art in speech recognition. Our research demonstrates that diverse sources of information need to be integrated to improve the accuracy of speech recognition particularly in noisy environments.

• International Journal of Highway Engineering
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• v.15 no.5
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• pp.177-185
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• 2013

PURPOSES : This study attempts to design and establish the road surface condition detection system by using the image processing that is expected to help implement the low-cost and high-efficiency road information detection system by examining technology trends in the field of road surface condition information detection and related case studies. METHODS : Adapted visual information collecting method(setting a stereo camera outside of the vehicle) and visual information algorithm(transform a Wavelet Transform, using the K-means clustering) Experiments and Analysis on Real-road, just as four states(Dry, Wet, Snow, Ice). RESULTS : Test results showed that detection rate of 95% or more was found under the wet road surface, and the detection rate of 85% or more in snowy road surface. However, the low detection rate of 30% was found under the icy road surface. CONCLUSIONS : As a method to improve the detection rate of the mobile road surface condition information detection system developed in this study, more accurate phase analysis in the image processing process was needed. If periodic synchronization through automatic settings of the camera according to weather or ambient light was not made at the time of image acquisition, a significant change in the values of polarization coefficients occurs.