• 제어로봇시스템학회:학술대회논문집
• /
• 1987.10b
• /
• pp.109-114
• /
• 1987

In this thesis, we work on the curve recognition with real time processing and the Robot tracking method on recognized curve. Image information of segment curve is supplied to computer to run to a Robot so that it is a feedback system. Image coordinate frame to world coordinate transformation represents in this paper and curve matching algorithm subscribes by two method, first transformation matching algorithm, second image coordinate matching algorithm. Also Robot running time to computer image processing time relationships finally includes.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
• /
• 2016.10a
• /
• pp.454-457
• /
• 2016

본 연구는 온라인마켓을 효율적이고 경험 디자인(User Experience Design : UX 디자인)적 설계가 가능하도록 제작하기 위하여 와이어 프레임에 대한 사용자의 주시빈도를 분석한다. 국내 대표적인 온라인마켓의 와이어 프레임을 제작하여 각 사이트의 화면분할과 정보영역을 분석한다. 주시빈도 확인을 위해 시선추적 장치를 사용하고 시선이 머무는 히트맵을 제시한다. 이를 통해 온라인마켓의 디자인 설계시 화면에 보이는 요소들의 효율적 배치를 위한 프레임 레이아웃 영역을 살펴본다.

• Journal of the Korea Society of Computer and Information
• /
• v.25 no.7
• /
• pp.57-64
• /
• 2020

In this paper, we propose an scalable re-detection for correlation filter in visual tracking. In real world, there are lots of target disappearances and reappearances during tracking, thus failure detection and re-detection methods are needed. One of the important point for re-detection is that a searching area must be large enough to find the missing target. For robust visual tracking, we adopt kernelized correlation filter as a baseline. Correlation filters have been extensively studied for visual object tracking in recent years. However conventional correlation filters detect the target in the same size area with the trained filter which is only 2 to 3 times larger than the target. When the target is disappeared for a long time, we need to search a wide area to re-detect the target. Proposed algorithm can search the target in a scalable area, hence the searching area is expanded by 2% in every frame from the target loss. Four datasets are used for experiments and both qualitative and quantitative results are shown in this paper. Our algorithm succeed the target re-detection in challenging datasets while conventional correlation filter fails.

• International Journal of Costume and Fashion
• /
• v.5 no.2
• /
• pp.68-77
• /
• 2005

In contemporary advertising market, one of main trends is to speak surrealistic visual language which provides 'enjoyable spectacles'. Specially, in the beginning of 21st century, there discovered more and more exhibitions and discourses about surrealism reinterpreted from the viewpoint of postmodernism. Surrealism as a creative style of expression based upon free association, has been a great inspiration for fashion ads for commercial communication as well as fashion design since its origin. However, there has been ignored the idea of analyzing surrealistic image expressed in fashion ads in spite of their flood. Accordingly, the purpose of this study is to grasp its cultural meaning through analyzing aesthetic characteristics of surrealistic image expressed in fashion ads. It will provide a better understanding of surrealistic image in fashion ads reflecting popular taste and preference directly as popular visual culture, focusing on post modern context. A case study of surrealistic fashion ads limits to TV or print commercials and digital ads as image ads stimulating visual expressions. The Results can be summarized as follows. Surrealism is an avant garde style which deconstructs the established meaning system as well as the existing formalistic order and then put them together in the frame of 'dream' and 'unconsciousness'. Defamiliarization questioning the whole edifice of representation can be adapted to. By means of paradox and metaphor, unfamiliar new visual world can be represented. The plastic characteristics of surrealistic image in fashion ads are founded as surrealistic styling of time and space, distortion of object by methods of automatism, depaysement, parody and trompe-l'oeil which bring about the deconstruction of gestalt. Aesthetic values of surrealistic fashion ads appear as dualistic representation, allegoric symbolism, fantastic romanticism. Ultimately they lead to marvelous. mysterious, humorous visual effects. Foster reinterpreted these effects of surrealism from Freud's 'Uncanny Concept'. 'Uncanny' means the phenomenon recurring to familiar being defamiliarized by repression. Surrealistic fashion ads strengthen this shocking effect more and more dramatically in company with our post modern needs for fantastic adventure and thrilling spectacle. It can be thought that surrealistic fashion ads reflects uncanny as an alternative which can relieve us of our stress and anxiety and which realize our potential desire in contemporary post industrial stage.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
• /
• 2009.10a
• /
• pp.945-949
• /
• 2009

This paper proposes an enhanced motion estimation that is one of core parts affecting the coding performance and visual quality in video coding. Although the full search technique, which is the most basic method of the motion estimation, presents the best visual quality, its computational complexity is great, since the search procedures to find the best matched block with each block in the current frame are carried out for all points inside the search area. Thus, various fast algorithms to reduce the computational complexity and maintain good visual quality have been proposed. The PMVFAST adopted the MPEG-4 visual standard produces the visual quality near that by the full search technique with the reduced computational complexity. In this paper, we propose a new motion vector prediction method using median processing. The proposed method reduces the computational complexity for the motion estimation significantly. Experimental results show that the proposed algorithm is faster than the PMVFAST and better than the full search in terms of search speed and average PSNR, respectively.

• International Journal of Computer Science & Network Security
• /
• v.22 no.6
• /
• pp.230-240
• /
• 2022

Sharing of online videos via internet is an emerging and important concept in different types of applications like surveillance and video mobile search in different web related applications. So there is need to manage personalized web video retrieval system necessary to explore relevant videos and it helps to peoples who are searching for efficient video relates to specific big data content. To evaluate this process, attributes/features with reduction of dimensionality are computed from videos to explore discriminative aspects of scene in video based on shape, histogram, and texture, annotation of object, co-ordination, color and contour data. Dimensionality reduction is mainly depends on extraction of feature and selection of feature in multi labeled data retrieval from multimedia related data. Many of the researchers are implemented different techniques/approaches to reduce dimensionality based on visual features of video data. But all the techniques have disadvantages and advantages in reduction of dimensionality with advanced features in video retrieval. In this research, we present a Novel Intent based Dimension Reduction Semi-Supervised Learning Approach (NIDRSLA) that examine the reduction of dimensionality with explore exact and fast video retrieval based on different visual features. For dimensionality reduction, NIDRSLA learns the matrix of projection by increasing the dependence between enlarged data and projected space features. Proposed approach also addressed the aforementioned issue (i.e. Segmentation of video with frame selection using low level features and high level features) with efficient object annotation for video representation. Experiments performed on synthetic data set, it demonstrate the efficiency of proposed approach with traditional state-of-the-art video retrieval methodologies.

• Journal of Digital Convergence
• /
• v.20 no.2
• /
• pp.407-413
• /
• 2022

This study conducted empirical analysis through user experience and questionnaire to find out whether the technical and contextual elements of the 'COVID-19 SABER' VR game produced and developed through initial research affect the improvement of the user's visual immersion. As a result first, the hypotheses regarding the resolution, viewing angle, effect, and design quality of the technical elements were accepted, but the hypotheses regarding the frame rate and the brightness of the lighting were rejected. Next, as for the hypothesis of the contextual elements, the hypothesis about background, directing, color and texture, interest and fun was adopted, and the hypothesis about storytelling was rejected. In summary, it was concluded that in order to increase the visual immersion of VR games, technical elements resolution, viewing angle, effect, design quality, contextual elements background, directing, color and texture, interest and fun must be designed and produced. The results of this study are expected to serve as basic data for the production and development of VR games that can induce and improve user's visual immersion in the future.

• 한국HCI학회:학술대회논문집
• /
• 2008.02a
• /
• pp.65-71
• /
• 2008

This paper proposes a structure of haptic collaboration system over high resolution tiled-display, and proposes a QoE (quality of experience) increase scheme in integrated system. Both haptic system and tiled-display system have requirements of computational power. A haptic device is unstable if haptic rendering rate is less than 1kHz, A requirement of tiled-display systeme is frame rate of display. It requires update of 30 frame fer sec. If we use these systems independently, we can satisfy each requirements. However, if we integrate two systems, performance of entire system significantly decreases because of lack of resources, and QoE of users also decrease. In this paper, therefore, we propose a QoE guaranty scheme which selectively allocates cpu resource between display update and haptic rendering. In order to increase QoE, we set a priority for visual and haptic in order to allocate more resource on visual or haptic. If a user sensitive about touch, then proposed scheme increases haptic rendering rate by allocating more resource. Otherwise a user more sensitive about visual than haptic, proposed scheme decreases haptic rendering rate and increases tiled-display update rate. Therefore, by selectively allocating limited cpu resource, proposed scheme guaranties QoE of both haptic and visual.

• The Journal of Korea Institute of Information, Electronics, and Communication Technology
• /
• v.10 no.5
• /
• pp.359-363
• /
• 2017

The LED (Liquid Emitting Diode) frame device is a big part of the representative display industry in Korea. LED is an essential part for TV, monitor, notebook, and mobile phone. In Japan, Taiwan, China and other countries, investment in LEDs has been strengthened, and productivity has become an important issue. However, as the size of the parts becomes smaller, the inconsistent inspection by the human eye becomes a problem of reliability, so that the automatic inspection process becomes an essential issue in the field of LED module inspection. In this paper, we investigate defects in visual inspection process using computer vision technology. The inspection of the LED frame is made quickly and accurately, thereby improving the efficiency of the process and shortening the inspection time. As a result of applying the inspection system to the field, we confirmed that it is possible to inspect quickly and accurately.

• The Journal of the Korea Contents Association
• /
• v.10 no.10
• /
• pp.120-127
• /
• 2010

Today we always can take a picture and enjoy it anywhere and anytime with a propagation of digital camera and camera phone. Even though the amount of digital picture content produced in every day life has been increasing, the way of enjoying it was just with phones or PC monitors. A small size screen of a cell phone and a desktop monitor are not suitable environment for enjoying digital picture, so the new market for digital photo frame has been opened. Until now, various kind of digital photo frames of many manufactures have been released for several years, but they have similar interaction way each other due to the limitation of their hardware specification so don't fill the intuitive mental model that users have about the product called a photo frame. Thus, this research aims to suggest an interaction way of digital photo frame providing with better usability and emotional satisfaction according to the spatial environment that it's located and users' behaviors.