• 한국멀티미디어학회논문지
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• 제20권2호
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• pp.126-133
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• 2017

The conventional hand-crafted features used to track objects have limitations in object representation. Convolutional neural networks, which show good performance results in various areas of computer vision, are emerging as new ways to break through the limitations of feature extraction. CNN extracts the features of the image through layers of multiple layers, and learns the kernel used for feature extraction by itself. In this paper, we use the feature map extracted from the convolution layer of the convolution neural network to create an outline model of the object and use it for tracking. We propose a method to adaptively update the outline model to cope with various environment change factors affecting the tracking performance. The proposed algorithm evaluated the validity test based on the 11 environmental change attributes of the CVPR2013 tracking benchmark and showed excellent results in six attributes.

• 한국산업정보학회:학술대회논문집
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• 한국산업정보학회 2007년도 춘계학술대회
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• pp.32-34
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• 2007

The global market for mobile phone business is already matured. Accordingly， the repurchasing issue for the mobile phone is being weighted drastically by the marketers. The purpose of this research is to investigate the relationships among seven crucial factors, and also examines the differences between Korean and Indonesian markets concerning the relationships of these key success factors. This research classifies these two markets as a matured market and an emerging market respectively. The structural model is tested with the data from each of the sub-samples. The analysis of the multi-group structural equation model (MSEM) showed that compared to Korean, Indonesian had more emphasized on extra-functions for the mobile phone as well as giving more influence on satisfaction from brand image. Due to the different market situation and users, the lessons to which product features must be more emphasized could be obtained for the product managers in the industry.

• Archives of Plastic Surgery
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• 제39권4호
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• pp.309-316
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• 2012

Computer aided design and manufacturing (CAD/CAM) technology today is the standard in manufacturing industry. The application of the CAD/CAM technology, together with the emerging 3D medical images based virtual surgical planning (VSP) technology, to craniomaxillofacial reconstruction has been gaining increasing attention to reconstructive surgeons. This article illustrates the components, system and clinical management of the VSP and CAD/CAM technology including: data acquisition, virtual surgical and treatment planning, individual implant design and fabrication, and outcome assessment. It focuses primarily on the technical aspects of the VSP and CAD/CAM system to improve the predictability of the planning and outcome.

• 한국신재생에너지학회:학술대회논문집
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• 한국신재생에너지학회 2008년도 추계학술대회 논문집
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• pp.318-320
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• 2008

Offshore remote-sensing wind extraction using SAR satellite image is an emerging and promising technology for offshore wind resource assessment. We compared our numerical weather prediction and offshore wind extraction from ENVISAT images around Korea offshore areas. A few comparison sets showed good agreement but more comparisons are required to draw application guideline on a statistical basis.

• 정보통신설비학회논문지
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• 제10권3호
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• pp.103-109
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• 2011

With the growing popularity of digital video applications, those areas of the efficient transmit, storage management, and search technology for video data are emerging as an important core technology. To be an effective video indexing system, users need to be able to find the video segments that they want. Unfortunately, video data is difficult to manage because of its unstructured data type and large volume with linear forms. This paper proposes a shot verification using visual rhythm and video retrieval system. The shot verification is designed to detect a segment from video easily and quickly, known as shot boundaries, just by changing the visual rhythm without playing the image. Therefore, this can decrease the false detected shots and generate the unidentified shots and key frames. The retrieval system is constructed in terms of visual descriptor from the list of MPEG-7. The effectiveness of the proposed shot verification process and video retrieval system is demonstrated.

• Journal of information and communication convergence engineering
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• 제9권1호
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• pp.95-99
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• 2011

Digital forensics is the emerging research field for determining digital forgeries. Key issues of the tampered images are to solve the problems for detecting the interpolation factor and the tampered regions. This paper describes a method to detect the interpolation factors and the forged maps using the differential method and fast Fourier transform(FFT) along the horizontal, vertical, and diagonal direction, respectively from digital filtered tampered images. The detection map can be used to find out interpolated regions from the tempered image. Experimental results demonstrate the proposed algorithm proves effective on several filtering images by adobe $Photoshop^{TM}$ and show a ratio of detecting the interpolated regions and factors from digital filtered composite images.

• Journal of Information Technology Applications and Management
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• 제27권4호
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• pp.1-19
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• 2020

Infringement of information security has caused the corporate image to be damaged and share price to fall, and it is emerging as an organizational risk. The value of information assets in enterprises has led to a higher level of security than in the past. As a result, companies are aware of the need for officers to protect information and to oversee a security management system. However, despite the growing importance of information security officers, there is a lack of research on their roles and characteristics. This study validates the relationship between determinants that affect the performance of information security. And a structural equation model was presented and empirically analyzed to see the impact of the internal and external characteristics of the staff in charge of information security on the organization's information security performance.

• 대한전기학회논문지:전력기술부문A
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• 제48권1호
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• pp.68-75
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• 1999

Machine recognition of faces from still and video images is emerging as an active research area spanning several disciplines such as image processing, pattern recognition, computer vision and neural networks. In addition, human face identification has numerous applications such as human interface based systems and real-time video systems of surveillance and security. In this paper, we propose an algorithm that can identify a particular individual face. We consider human face identification system in color space, which hasn't often considered in conventional in conventional methods. In order to make the algorithm insensitive to luminance, we convert the conventional RGB coordinates into normalized CIE coordinates. The normalized-CIE-based facial images are KL-transformed. The transformed data are used as the input of multi-layered neural network and the network are trained using error-backpropagation methods. Finally, we verify the system performance of the proposed algorithm by experiments.

• 한국방송∙미디어공학회:학술대회논문집
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• 한국방송공학회 1999년도 KOBA 방송기술 워크샵 KOBA Broadcasting Technology Workshop
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• pp.165.1-170
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• 1999

Object segmentation fro natural video scenes has recently become one of very active research to pics due to the object-based video coding standard MPEG-4. Object detection and isolation is also useful for object-based indexing and search of video content, which is a goal of the emerging new standard, MPEG-7. In this paper, an automatic segmentation method of moving objects in image sequence is presented which is applicable to multimedia content authoring for MPEG-4, and two different segmentation approaches suitable for surveillance applications are addressed in raw data domain and compressed bitstream domains. We also propose an object-based video description scheme based on object segmentation for video indexing purposes.

• Archives of Plastic Surgery
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• 제32권5호
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• pp.582-588
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• 2005

Digital imaging is emerging as a standard method for patient documentation in clinical setting. Managing patient expectations before aesthetic surgery can greatly improve patient satisfaction after surgery. The patient who visited for plastic surgery wants a predicted figure after the operation. A virtual plastic surgery software is necessary in order to satisfy the desire of patients. Adobe $Photoshop^{(R)}$ is the professional standard in desktop digital imaging, offers indispensable new features for graphic and web design, photography, and video. Using imaging technology, it takes just minutes to realistically simulate the results of double eyelid operation, liposuction, rhinoplasty or any other aesthetic procedure. The aim of this study is to analyze the significance of the digital image processing and to introduce the virtual plastic surgery using Adobe $Photoshop^{(R)}$.