• Proceedings of the Korean Institute of Intelligent Systems Conference
• /
• 2002.12a
• /
• pp.370-373
• /
• 2002

본 논문에서는 단일영상들에 포함된 특징들을 효과적으로 추출하기 위하여 신경망 기반 독립성분분석기법의 이용을 제안하였다. 여기서 독립성분의 효과적인 분석을 위해 고정점 학습알고리즘의 신경망 기반 기법을 이용하였다. 이는 수치적 기법에 비해 신경망이 가지는 ？ㄱ습 등의 우수한 속성과 뉴우턴법의 고정점 알고리즘이 가지는 빠르고 간단한 계산속성을 동시에 살리기 위함이다. 제안된 기법을 512x412 픽셀의 L둠 영상과 480x225 픽셀의 지폐영상 각각에서 선택된 1,000개의 영상패치들을 대상으로 시뮬레이션 한 결과, 추출된 16x16 펙셀의 160개 독립성분 기저벡터는 지문영상과 지폐영상 각각에 포함된 공간적인 주파수 특성과 방향성을 가지는 경계 특성이 잘 드러나는 국부적인 특징들임을 확인할 수 있었다.

• Proceedings of the Korean Association of Geographic Inforamtion Studies Conference
• /
• 1997.12a
• /
• pp.1-5
• /
• 1997

WEB기반의 환경GIS 자료관리를 위해 JVM(Java Virtual Machine), JDBC, Oracle을 이용한다 환경GIS자료에는 위성영상, 주제도, 일반 GIS자료 등이 있으며, 이 자료는 공간정보와, 속성정보를 가지고 Server의 DB에 존재한다. 자료의 검색과 등록은 WEB Browser에서 조회용 지도를 이용하여 지도상 공간속성정보와 비공간속성정보에 의한 검색기능을 제공한다.

• Journal of Internet Computing and Services
• /
• v.18 no.1
• /
• pp.51-55
• /
• 2017

In this paper, we designed a LBS-based smart platform for Lifelog service that can utilize the other's lifelog information. The conventional Lifelog service means that the system records the daily activities of the smart device user so the user can retrieve the early-recorded information later. The proposed Lifelog service platform uses the GPS/UFID location information and the various information extracted from the image as the lifelog data. Further, the proposed Lifelog platform using DB can provide the user with the Lifelog data recorded by the other service user. The system usually provide the other's Lifelog data within the 500m distance from the user and the range of distance can be adjustable. The proposed smart platform based on image recognition for Lifelog can acquire the image from the smart device directly and perform the various image recognition processing to produce the useful image attributes. And it can store the location information, image data, image attributes and the relevant web informations on the database that can be retrieved by the other use's request. The attributes stored and managed in the image information database consist of the followings: Object ID, the image type, the capture time and the image GPS coordinates. The image type attribute has the following values: the mountain, the sea, the street, the front of building, the inside of building and the portrait. The captured image can be classified into the above image type by the pattern matching image processing techniques and the user's direct selection as well. In case of the portrait-attribute, we can choose the multiple sub-attribute values from the shirt, pant, dress and accessory sub-attributes. Managing the Lifelog data in the database, the system can provide the user with the useful additional services like a path finding to the location of the other service user's Lifelog data and information.

• Proceedings of the Korea Information Processing Society Conference
• /
• 2018.05a
• /
• pp.424-427
• /
• 2018

영상이나 비디오에 담긴 장면을 이해하는 것은 컴퓨터 비전의 궁극적인 목표 중 하나이다. 본 논문에서는 입력 영상으로부터 장면을 구성하는 각 물체들과 그들 간의 공간 관계, 개별 물체들의 다양한 속성들을 탐지해, 지식 그래프를 생성해주는 심층 신경망 기반의 물체 속성 및 공간 관계 탐지 모델을 제안한다. 본 논문에서는 이러한 다양한 복합 시각 인식 작업을 동시에 수행하는 탐지 모델의 구성에 대해 설명하고, 대규모 벤치마크 데이터 집합인 CLEVR을 이용한 탐지 모델의 성능 분석 실험 결과를 소개한다.

• Journal of the Korean Institute of Intelligent Systems
• /
• v.20 no.5
• /
• pp.701-709
• /
• 2010

This paper presents an efficient signature recognition method by using the hybrid similarity criterion, which is in inverse proportion to distance and in proportion to correlation between the images. The distance is applied to express the spacial property of image, and the correlation is also applied to express the statistical property. The proposed criterion provides the robust recognition to both the geometrical variations such as position, size, and rotation and the shape variation. The normalized cross-correlation(NCC), which is calculated by considering 4 directions based on the histogram of binary image, is applied to express rapidly and accurately the similarity between the images. The proposed method has been applied to the problem for recognizing the 20 truck images of 288*288 pixels and the 105(3 persons * 35 images) signature images of 256*256 pixels, respectively. The experimental results show that the proposed method has a superior recognition performance that appears the image characters well. Especially, the hybrid criterion of NCC and ordinal distance has a superior recognition performance to the hybrid criterion using city-block or Euclidean distance.

• The KIPS Transactions:PartD
• /
• v.13D no.7 s.110
• /
• pp.1017-1026
• /
• 2006

Recently, distributed collaborative development environment has been recognized an alternative environment for product development in which multidisciplinary participants are naturally involving. Reuse of Product design information has long been recognized as one of core requirements for efficient product development. This paper addresses an image-based retrieval system to support product design information reuse. In the system, product images obtained from multi-modal devices are utilized to reuse design information. The proposed system conducts the segmentation of a product image by using a labeling method and generates an attributed relational graph (ARG) that represents properties of segmented regions and their relationships. The generated ARG is extended by integrating corresponding part/assembly information. In this manner, the reuse of assembly design information using a product image has been realized. The main advantages of the presented system are following. First, the system is not dependent to specific design tools, because it utilizes multimedia images that can be obtained easily from peripheral devices. Second ratio-based features extracted from images enable image retrievals that contain various sizes of parts. Third, the system has shown outstanding search performance, because we applied various information of segmented part regions and their relationships between parts.

• Journal of the Korea Computer Industry Society
• /
• v.7 no.1
• /
• pp.17-22
• /
• 2006

Variable contents are extracted and used to improve the correctness of the retrieval in the content-based in age retrieval. This way use the physical feature for the retrieval. In this way of retrieval, the user has to know the basic physical features and spatial relationship of target images that he wants to retrieve. There are some restriction to reflect the user's intend. We need the retrieval system that reflect the user's intend. In this paper, we propose an emotion-based retrieval system. It is different from past emotion based image retrieval in point of view that it uses relevance feedback to estimate the users intend and it is easily combined with past content-based image retrieval system. The features and similarity measures are adopted from MPEG-7 color descriptors which are proper retrieval of large multimedia databases. We use wallpaper images for the experiment. The result shows that the system get successful result.

• The Journal of the Institute of Internet, Broadcasting and Communication
• /
• v.19 no.2
• /
• pp.19-24
• /
• 2019

Digital technologies in the digital image field are developing and changing rapidly while creating various forms of media environments. In particular, broadcasting image-processing technologies provide more realistic images through the development of multimedia technology. Consequently, the needs of flat image quality have been nearly met, leading to technological saturation. Currently, flat images possess the advantages of popularity and freedom from visual fatigue over three-dimensional stereoscopic images. A complementary technology for flat images is the stereoscopic perception improvement technology. To examine correlations between stereoscopic perception and colour attributes for graphic images on flat displays, we have conducted experiments related to stereoscopic perception and analysed the results. In these experiments, the colour attributes of hue, value, and chroma were applied at different levels. Next, the factors that provide the highest stereoscopic perception and their interactions were analysed through analysis of variance. Finally, this study defines the significance of colour factors related to stereoscopic perception by analysing the experimental results, and proposes a colour adjustment method for improved stereoscopic perception in graphics image processing.

• Cartoon and Animation Studies
• /
• s.9
• /
• pp.266-282
• /
• 2005

Cartoon & Animated cartoon is consists of imaginal attributes and linguistic attributes, and it is closely connected with humor and satirical contents. And then various expressions using animals as matter communicate satirical attributes of a satire strongly and easily. On this article, techniques of satirical expression using animals in Cartoon & Animated cartoon media are studied and analyzed. By the method, it looks around briefly beginning from primitive cave paintings of the prehistoric age to various contemporary Cartoon & Animated cartoon character industries as historical background of Cartoon & Animated cartoon, and also arranges various types that literary expression and representation for visual expression techniques - metaphorical expressions, emblematic expressions, figure of speech and so forth - on literature. This attempt aims for presenting a basic analysis method that connecting and combining Cartoon & Animated cartoon media with humanistic classification and making database of existing data. These accumulated data will indicate cartoon and the action of meaning.

• Journal of Digital Contents Society
• /
• v.19 no.7
• /
• pp.1303-1312
• /
• 2018

The study analyzed the evaluation of the advertisement effect by the score and the method of the advertisement comments in ad evaluation in online site, 'TVCF'. The results are as follows. First, Internet viral advertisement showed higher number of ad comments and higher evaluation of advertisement effect than cable broadcasting advertisement. Second, the results of analysis of the difference of advertisement evaluation according to ad types and digital user characteristics showed that women are more positive than men toward both cable broadcasting and internet viral advertisement.