• 한국소음진동공학회:학술대회논문집
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• 한국소음진동공학회 2006년도 추계학술대회논문집
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• pp.41-47
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• 2006

In this study, the influences of environmentally friendly visual and auditory information on traffic noise perception were surveyed by the using electroencephalogram Green rural region image and CBD image in urban city were used as visual informations. And traffic noise, signal and environmental music were used to detect the impact on electroencephalogram variance. It was revealed that green rural region image caused a-wave ratio increase about 10% and environmental music increased $\alpha$-wave ratio approximately $40{\sim}50%$. The results of this study improved that environmentally friendly visual and auditory information had an effect on decreasing traffic noise loudness to some extents.

• 대한원격탐사학회:학술대회논문집
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• 대한원격탐사학회 2007년도 Proceedings of ISRS 2007
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• pp.508-511
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• 2007

Car navigation system is one of the most important applications in telematics. A newest trend of car navigation system is using real video captured by camera equipped on the vehicle, because video can overcome the semantic gap between map and real world. In this paper, we suggest a visual car navigation system that visually represents navigation information or route guidance. It can improve drivers' understanding about real world by capturing real-time video and displaying navigation information overlaid on it. Main services of the visual car navigation system are graphical turn guidance and lane change guidance. We suggest the system architecture that implements the services by integrating conventional route finding and guidance, computer vision functions, and augmented reality display functions. What we designed as a core part of the system is visual navigation controller, which controls other modules and dynamically determines visual representation methods of navigation information according to a determination rule based on current location and driving circumstances. We briefly show the implementation of system.

• 한국소음진동공학회논문집
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• 제17권2호
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• pp.160-167
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• 2007

In this study, the influences of environmentally friendly visual and auditory information on traffic noise perception were surveyed by the using electroencephalogram. Green rural region image and CBD (central business district) image in urban city were used as visual informations. And traffic noise, signal and environmental music were used to detect the impact on electroencephalogram variance. It was revealed that green rural region image caused ${\alpha}-wave$ ratio increase about 10% and environmental music increased ${\alpha}-wave$ ratio approximately $40{\sim}50%$. The results of this study improved that environmentally friendly visual and auditory information had an effect on decreasing traffic noise loudness to some extents.

• 한국컴퓨터정보학회논문지
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• 제20권11호
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• pp.183-190
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• 2015

This paper investigates the three main functions of a typical visual app programming environment for Novice Programming developers, and compares the features. The Scratch is a visual programming environment for education, anyone can create a story easy as possible variously interaction, games, animations and more. App inventor provides precise and professional application development capabilities as compared with scratch. App Inventor in runs independently of the computer platform, and has a feature that must be constantly connected to the server over the internet, while the Inventor app runs. M-Bizmaker is suitable for commercial application development, consists of m-BizBuilder, m-BizEngine, m-BizServer or the like, provides a cross-platform visual programming environment.

• Journal of information and communication convergence engineering
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• 제10권3호
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• pp.300-306
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• 2012

An image attention model and its application to image quality assessment are discussed in this paper. The attention model is based on rarity quantification, which is related to self-information to attract the attention in an image. It is relatively simpler than the others but results in taking more consideration of global contrasts between a pixel and the whole image. The visual attention model is used to develop a local distortion predictor, named color visual differences predictor (CVDP), in color images in order to effectively detect luminance and color distortions.

• 전기학회논문지
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• 제68권1호
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• pp.189-198
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• 2019

In recent years, visual-inertial odometry(VIO) algorithms have been extensively studied for the indoor/urban environments because it is more robust to dynamic scenes and environment changes. In this paper, we propose loosely coupled(LC) VIO algorithm that utilizes the velocity vectors from both visual odometry(VO) and inertial measurement unit(IMU) as a filter measurement of Extended Kalman filter. Our approach improves the estimation performance of a filter without adding extra sensors while maintaining simple integration framework, which treats VO as a black box. For the VO algorithm, we employed a fundamental part of the ORB-SLAM, which uses ORB features. We performed an outdoor experiment using an RGB-D camera to evaluate the accuracy of the presented algorithm. Also, we evaluated our algorithm with the public dataset to compare with other visual navigation systems.

• Asia pacific journal of information systems
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• 제29권2호
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• pp.181-202
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• 2019

The purpose of this study is to explore the effect of different types of simultaneous presentation (i.e., reviewer information, textual and visual content, and similarity between textual-visual contents) on review usefulness and review enjoyment in online restaurant reviews (ORRs), as they are interrelated yet have rarely been examined together in previous research. By using Latent Dirichlet Allocation (LDA) topic modeling and state-of-the-art machine learning (ML) methodologies, we found that review readability in textual content and salient objects in images in visual content have a significant impact on both review usefulness and review enjoyment. Moreover, similarity between textual-visual contents was found to be a major factor in determining review usefulness but not review enjoyment. As for reviewer information, reputation, expertise, and location of residence, these were found to be significantly related to review enjoyment. This study contributes to the body of knowledge on ORRs and provides valuable implications for general users and managers in the hospitality and tourism industries.

• 정보처리학회논문지B
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• 제17B권1호
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• pp.55-62
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• 2010

인간의 시각 주의 시스템은 주어진 시각장면을 모두 다 처리하기보다는 주의가 집중되는 일정한 작은 영역들을 순간적으로 선택하여 그 부분만을 순차적으로 처리함으로써 복잡한 시각장면을 단순화시켜 쉽게 분석할 수 있는 능력을 가지고 있다. 본 논문에서는 주의 기반 시각정보 처리체계 시스템 구현을 위한 새로운 특징맵 구성 및 통합 방법을 제안한다. 제안하는 시스템에서는 시각특징으로서 색상, 명도, 방위, 형태 외에 2개의 스테레오 영상 쌍으로부터 얻을 수 있는 깊이 정보를 추가하여 사용하였다. 실험결과를 통해 깊이 정보를 사용함으로써 주의 영역의 정탐지율이 개선됨을 확인하였다.

• 한국멀티미디어학회논문지
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• 제15권9호
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• pp.1174-1183
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• 2012

본 연구는 다변화된 정보 인터페이스 환경에서 사용자의 시각 몰입과 재인 과정에 시각단서가 어떠한 역할을 하는지와, 시각정보 구조와의 관련성을 분석하기 위하여 실시되었다. 그리하여 최신 그래픽 정보 사용자 트렌드를 고려하여 과학적인 도구와 주관적 내면 평가를 활용한 평가모형을 설계하고, 보다 체계적인 실험과정을 통하여 획득한 몰입과 재인의 사용자 경험 데이터를 분석하였다. 이를 토대로 향후 최신의 디바이스에 광범위하게 적용 가능한 그래픽 정보 사용자의 기초설계모형과 표준 평가 모형을 구축하는 데 기여할 수 있을 것이다.

• 대한원격탐사학회지
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• 제17권4호
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• pp.319-334
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• 2001

Extracting primitives from imagery plays an important task in visual information processing since the primitives provide useful information about characteristics of the objects and patterns. The human visual system utilizes features without difficulty for image interpretation, scene analysis and object recognition. However, to extract and to analyze feature are difficult processing. The ultimate goal of digital image processing is to extract information and reconstruct objects automatically. The objective of this study is to develop robust method to achieve the goal of the image processing. In this study, an adaptive strategy was developed by implementing Gabor filters in order to extract feature information and to segment images. The Gabor filters are conceived as hypothetical structures of the retinal receptive fields in human vision system. Therefore, to develop a method which resembles the performance of human visual perception is possible using the Gabor filters. A method to compute appropriate parameters of the Gabor filters without human visual inspection is proposed. The entire framework is based on the theory of human visual perception. Digital images were used to evaluate the performance of the proposed strategy. The results show that the proposed adaptive approach improves performance of the Gabor filters for feature extraction and segmentation.