• Title/Summary/Keyword: Image Processing Technology

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Design of Invisible Watermarking for H.264/AVC Video Protection (H.264/AVC 비디오 보호를 위한 비가시적 워터마킹의 설계 및 검증)

  • Park, Hye-Jeong;Choi, Jun-Rim
    • Journal of the Institute of Electronics Engineers of Korea SD
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    • v.45 no.6
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    • pp.74-79
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    • 2008
  • In this paper, we propose and design a new 0.264/AVC watermarking algorithm for protection of copyright by inserting a watermark after quantization. This invisible watermarking algorithm insets a watermark into chrominance components of I frame such that we can avoid degradation of original images. According to test results we could limit image degradation by 1dB, avoid bit rate increment within 2% and increase processing time by only 2%. The IP is designed by Hynix 0.25 micron technology and the maximum operating frequency of 115MHz is achieved. The PSNR of the embedded watermark is about 35dB according to the test result.

Real-Time Object Recognition Using Local Features (지역 특징을 사용한 실시간 객체인식)

  • Kim, Dae-Hoon;Hwang, Een-Jun
    • Journal of IKEEE
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    • v.14 no.3
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    • pp.224-231
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    • 2010
  • Automatic detection of objects in images has been one of core challenges in the areas such as computer vision and pattern analysis. Especially, with the recent deployment of personal mobile devices such as smart phone, such technology is required to be transported to them. Usually, these smart phone users are equipped with devices such as camera, GPS, and gyroscope and provide various services through user-friendly interface. However, the smart phones fail to give excellent performance due to limited system resources. In this paper, we propose a new scheme to improve object recognition performance based on pre-computation and simple local features. In the pre-processing, we first find several representative parts from similar type objects and classify them. In addition, we extract features from each classified part and train them using regression functions. For a given query image, we first find candidate representative parts and compare them with trained information to recognize objects. Through experiments, we have shown that our proposed scheme can achieve resonable performance.

Development of a Lane Detect Algorithm from Road-Facing Cameras on a Vehicle (차량에 부착된 측하방 CCD카메라를 이용한 차선추출 알고리즘 개발)

  • Rhee, Soo-Ahm;Lee, Tae-Yoon;Kim, Tae-Jung;Sung, Jung-Gon
    • Journal of Korean Society for Geospatial Information Science
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    • v.13 no.3 s.33
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    • pp.87-94
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    • 2005
  • 3D positional information of lane can be automatically calculated tv combining GPS data, IMU data if coordinates of lane centers are given. The Road Safety Survey and Analysis Vehicle(RoSSAV) is currently under development to analyze three dimensional safety and stability of roads. RoSSAV has GPS and IMU sensors to get positional information of the vehicle and two road-facing CCD cameras for extraction of lane coordinates. In this paper, we develop technology that automatically detects centers of lanes from the road-facing cameras of RoSSAV. The proposed algorithm defines line-support regions by grouping pixels with similar edge orientation and magnitude together and extracts a line from each line support region by planar fitting. Then if extracted lines and the region in-between satisfy the criteria of brightness and width, we decide this region as lane. The proposed algorithm was more precise and stable than the previously proposed algorithm based on brightness threshold method. Experiments with real road scenes confirmed that lane was effectively extracted by the proposed algorithm.

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A Study for the Broadcasting Makeup and Image Representation Changes in the Digital Media Era (디지털 미디어 시대의 방송 분장 변화에 관한 연구)

  • Barng, Kee-Jung;Kim, Kyung-Hee;Kim, Ju-Duck
    • The Research Journal of the Costume Culture
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    • v.18 no.6
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    • pp.1194-1210
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    • 2010
  • The influence of digital media according to environmental change of multi-media came to have significance more than what we imagine. In accordance with high resolution of HDTV in digital media era, the cautious awareness is required for skin color by the immediate color such as replica of TV color, lighting and clothing. As for the broadcasting makeup expression technique caused by a change in broadcasting environment in the digital media era, the first, There is necessity for natural makeup technique, and for expressing the whole makeup evenly and very delicately. The makeup work gets much more delicate. For the delicate expression, more time is being required than the existing makeup time. Second, Lots of time and manpower are required for elaborate real-object processing on all the production fields such as background set, stage properties, and makeup. Third, Realistic expression is available on the screen. Importance of basic makeup is highlighted. Thus, even the skin care shop came to be prevalent. Development in only HD cosmetics is needed for foundation with fine particle in new material and with diverse colors hereafter. The video-media field is a method that is ignored a sense of distance through vehicles such as camera, picture tube, and several kinds of broadcasting machinery and equipment and that is delivered vividly to viewers through screen, unlike the stage makeup, thereby being needed the makeup technology proper for HDTV according to the changing broadcasting environment and media. The video machinery and equipment are proceeding with being gradually high-tech and precise. Thus, an expert in makeup needs to know common sense on the video machinery and equipment before makeup, and needs to make an effort according to it. And, a follow-up research can be said to be necessary on the advance in makeup method and on more diverse dedicated cosmetics along with a research on color tone proper for HDTV.

Performance Improvement of Eye Tracking System using Reinforcement Learning (강화학습을 이용한 눈동자 추적 시스템의 성능향상)

  • Shin, Hak-Chul;Shen, Yan;Khim, Sarang;Sung, WonJun;Ahmed, Minhaz Uddin;Hong, Yo-Hoon;Rhee, Phill-Kyu
    • The Journal of the Institute of Internet, Broadcasting and Communication
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    • v.13 no.2
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    • pp.171-179
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    • 2013
  • Recognition and image processing technology depends on illumination variation. One of the most important factors is the parameters of algorithms. When it comes to select these values, the system has different types of recognition accuracy. In this paper, we propose performance improvement of the eye tracking system that depends on some environments such as, people, location, and illumination. Optimized threshold parameter was decided by using reinforcement learning. When the system accuracy goes down, reinforcement learning used to train the value of parameters. According to the experimental results, the performance of eye tracking system can be improved from 3% to 14% by using reinforcement learning. The improved eye tracking system can be effectively used for human-computer interaction.

Motion Control Algorithm Expanding Arithmetic Operation for Low-Cost Microprocessor (저가형 마이크로프로세서를 위한 연산처리 확장 모션제어 알고리즘)

  • Moon, Sang-Chan;Kim, Jae-Jun;Nam, Kyu-Min;Kim, Byoung-Soo;Lee, Soon-Geul
    • Journal of Institute of Control, Robotics and Systems
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    • v.18 no.12
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    • pp.1079-1085
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    • 2012
  • For precise motion control, S-curve velocity profile is generally used but it has disadvantage of relatively long calculation time for floating-point arithmetics. In this paper, we present a new generating method for velocity profile to reduce delay time of profile generation so that it overcomes such disadvantage and enhances the efficiency of precise motion control. In this approach, the velocity profile is designed based on the gamma correction expression that is generally used in image processing to obtain a smoother movement without any critical jerk. The proposed velocity profile is designed to support both T-curve and S-curve velocity profile. It can generate precise profile by adding an offset to the velocity profile with decimals under floating point that are not counted during gamma correction arithmetic operation. As a result, the operation time is saved and the efficiency is improved. The proposed method is compared with the existing method that generates velocity profile using ring buffer on a 8-bit low-cost MCU. The result shows that the proposed method has no delay in generating driving profile with good accuracy of each cycle velocity. The significance of the proposed method lies in reduction of the operation time without degrading the motion accuracy. Generated driving signal also shows to verify effectiveness of the proposed method.

Effect of Porosity on the High-Cycle Fatigue Behavior of Al-Si-Mg Casting Alloy (Al-Si-Mg계 주조용 알루미늄 합금의 고주기 피로 거동에 미치는 기공의 영향)

  • Lee, Young-Jae;Kang, Won-Guk;Euh, Kwang-Jun;Cho, Kyu-Sang;Lee, Kee-Ahn
    • Transactions of Materials Processing
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    • v.18 no.4
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    • pp.296-303
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    • 2009
  • The effect of porosity on the high-cycle fatigue properties of Al-Si-Mg casting aluminum alloys was investigated in this study. Microstructure examination, tensile and high-cycle fatigue test were conducted on both Al-Si-Mg casted (F) and heat-treated (T6) conditions. Porosity characteristics on the fracture surfaces of fatigue-tested samples were examined using SEM and image analysis. The microstructure observation results showed that eutectic Si particles were homogeneously dispersed in the matrix of the Al-Si-Mg casting alloys, but there were porosities formed as cast defects. The high-cycle fatigue results indicated that the fatigue strength of the 356-T6 alloy was higher than that of the 356-F alloys because of the significant reduction in volume fraction of pores by heat treatment. The SEM fractography results showed that porosity affected detrimental effect on the fatigue life: 80% of all tested samples fractured as a result of porosity which acted as the main crack initiation site. It was found that fatigue life decreased as the size of the surface pore increased. A comparison was made between surface pore and inner pore for its effect on the fatigue behavior. The results showed that the fatigue strength with the inner pores was higher than that of the surface pore.

Cartoon Character Rendering based on Shading Capture of Concept Drawing (원화의 음영 캡쳐 기반 카툰 캐릭터 렌더링)

  • Byun, Hae-Won;Jung, Hye-Moon
    • Journal of Korea Multimedia Society
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    • v.14 no.8
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    • pp.1082-1093
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    • 2011
  • Traditional rendering of cartoon character cannot revive the feeling of concept drawings properly. In this paper, we propose capture technology to get toon shading model from the concept drawings and with this technique, we provide a new novel system to render 3D cartoon character. Benefits of this system is to cartoonize the 3D character according to saliency to emphasize the form of 3D character and further support the sketch-based user interface for artists to edit shading by post-production. For this, we generate texture automatically by RGB color sorting algorithm to analyze color distribution and rates of selected region. In the cartoon rendering process, we use saliency as a measure to determine visual importance of each area of 3d mesh and we provide a novel cartoon rendering algorithm based on the saliency of 3D mesh. For the fine adjustments of shading style, we propose a user interface that allow the artists to freely add and delete shading to a 3D model. Finally, this paper shows the usefulness of the proposed system through user evaluation.

Indoor Precise Positioning Technology for Vehicles Using Floor Marks (플로어 마크를 이용한 차량용 실내 정밀 측위 기술)

  • Park, Ji-hoon;Lee, Jaesung
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.19 no.10
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    • pp.2321-2330
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    • 2015
  • A variety of studies for indoor positioning are now being in progress due to the limit of GPS that becomes obsolete in the room. However, most of them are based on private wireless networks and the situation is difficult to commercialize them since they are expensive in terms of installation and maintenance costs, non-real-time, and not accurate. This paper applies the mark recognition algorithm used in existing augmented reality applications to the indoor vehicle positioning application. It installs floor marks on the ground, performs the perspective transformation on it and decodes the internal data of the mark and, as a result, it obtains an absolute coordinate. Through the geometric analysis, it obtains current position (relative coordinates) of a vehicle away from the mark and the heading direction of the vehicle. The experiment results show that when installing the marks every 5 meter, an error under about 30 cm occurred. In addition, it is also shown that the mark recognition rate is 43.2% of 20 frames per second at the vehicle speed of 20km/h. Thus, it is thought that this idea is commercially valuable.

Extraction of Face Type and Tongue Color Analysis for Diseases Diagnosis in Web-Based Environments (웹 기반 환경에서 질병 진단을 위한 얼굴형 추출 및 설색 분석)

  • Cho, Dong-Uk;Kim, Bong-Hyun;Lee, Se-Hwan
    • The KIPS Transactions:PartB
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    • v.14B no.2
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    • pp.71-80
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    • 2007
  • In this paper, We propose face type classification, tongue region extraction and tongue color analysis method for Oriental medicine diagnosis system to supply web based medical treatment information. This presents to construct system that takes super aging society and uses ocular inspection and longue diagnosis in web-based to embody this by an IT Technology as generalization and popularization of medical benefit are social requirement and supplies medical treatment information. Place that reflect living body signal of human body ordinarily and appear becomes iris or tongue, five sensory organs etc. This paper proposes classification of face type, extraction of five sensory organs for observing a person's shape and color among diseases diagnosis based on home health care that propose to develop and region extraction and color analysis etc, of tongue which intensively represents the bio-signals of human-beings. Finally, the effectiveness of this paper is verified by several experiments.