• Journal of Korea Multimedia Society
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• v.12 no.10
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• pp.1450-1456
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• 2009

By the explosive growth of IT technologies, mobile phones have embedded a lot of functions and everyone can use them with facility. But there are various cybercrimes as invasions of one's privacy or thefts of company's sensitive information using a built-in digital camera function in a mobile phone. In this paper, we propose a scheme for analyzing evidences by digital pictures on mobile phones. Therefore we analyze the features of digital pictures on mobile phones and make databases of characteristic patterns based on the vendor and the model of mobile phone. The proposed scheme will help to acquire digital evidences by providing a better decision of the vendor and/or the model of mobile phone by cybercrime suspects.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.12 no.5
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• pp.99-105
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• 2012

With the rapid development and diffusion of smart phone applications, mobile users are able to use various useful mobile services in humdrum life. Especially, interesting applications like QR code using camera module in a smart phone are developed continuously nowadays. We realized that the size and shape of shooting objects taken by a smart phone camera module are very different according to their types and versions of the android-based smart phone in the process of developing applications for measuring the shooting object using camera module of a smart phone. In this paper, we investigate the major differences among smart phone types and system versions when we take specific object with camera module of smart phones, analyze the various characteristics of camera modules that influencing the real size of the shooting object taken by a smart phone, and apply them to the development of the smart camruler application.

• Proceedings of the IEEK Conference
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• 2008.06a
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• pp.1051-1052
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• 2008

As the mobile phone has multi functions and high performance, multimedia processors have an important roles in handsets. Recently high resolution camera (above 5M pixels), HD Camcording and beautiful UI which Using OpenVG or OpenGL are adopted in mobile phone. So we are introduced the function multimedia processor and guide to mobile phone engineers to meet multimedia features.

• Journal of the Korea Convergence Society
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• v.8 no.11
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• pp.93-101
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• 2017

The purpose of this paper is to investigate the effect of the smart phone camera on the company's employees or employees of partner companies, we want to block things in advance. In this paper, we propose a smart phone camera control system which is connected with the personnel access right which enables to share the photographed image of the authorized user and the data shot only within the enterprise. To this end, we have developed the installation status of smart phone control program (MCS: Mobile Camera Control System) of employees, employees and visitors of company, and experimented and analyzed whether the smart phone control program installed in the authorized area. In addition, when visitors visited the company, the effect of prevention of photograph shooting through smart phone camera and the cost of seal sticker attached to the smart phone camera lens part were reduced.

• Proceedings of the Optical Society of Korea Conference
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• 2006.07a
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• pp.79-80
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• 2006

• Proceedings of the Korean Society of Precision Engineering Conference
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• 2008.11a
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• pp.673-674
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• 2008

• Proceedings of the Korean Society of Precision Engineering Conference
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• 2007.11a
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• pp.295-296
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• 2007

• Journal of the Korea Institute of Information and Communication Engineering
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• v.13 no.1
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• pp.29-36
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• 2009

In this paper, we proposed auto exposure(AE) algorithm and hardware implementation for apply to mobile phone camera. AE is a function that control camera exposure automatically for appropriate to object. Existing AE is using micro controller unit and there are some problems about high expense and slow processing speed. For improve these problems, we proposed AE algorithm for hardware implementation without micro controller unit therefor we can expect improvement about the content of a production and operation speed. We proposed the algorithm that is considered efficiency of hardware resource and the results of hardware implementation of proposed AE algorithm apply to mobile phone camera sensor, we verified proposed AE function.

• Journal of Institute of Control, Robotics and Systems
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• v.13 no.12
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• pp.1160-1166
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• 2007

This paper presents the design and implementation of an embedded image stabilization control system for a mobile phone with a built-in camera. Image stabilization is a family of techniques for reducing image blur resulting from minute camera shake due to hand-held shooting, thereby allowing the use of shutter speeds slower than values normally required to obtain sharp images. A mechanical image stabilizer mechanism developed for a camera mobile phone is introduced and a digital control system as a part of the image stabilization system is designed and implemented on an 8-bit microcontroller with integer arithmetic in C. This paper focuses primarily on issues that need to be taken into consideration for fixed-point implementation of the digital controller. Several experimental results are presented to demonstrate the performance of the implemented image stabilization control system.

• Journal of the Institute of Electronics Engineers of Korea SP
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• v.47 no.5
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• pp.192-198
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• 2010

With the popularization of the mobile phone with a built-in camera, there are a lot of effort to provide useful information to users by detecting and recognizing the text in the video which is captured by the camera in mobile phone, and there is a need to detect the text regions in such mobile phone video. In this paper, we propose a method to detect the text regions in the mobile phone video. We employ morphological operation as a preprocessing and obtain binarized image using modified k-means clustering. After that, candidate text regions are obtained by applying connected component analysis and general text characteristic analysis. In addition, we increase the precision of the text detection by examining the frequency of the candidate regions. Experimental results show that the proposed method detects the text regions in the mobile phone video with high precision and recall.