• The Journal of the Korea Contents Association
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• v.11 no.12
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• pp.28-39
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• 2011

While the broadband multimedia technologies have been developing, the commercial market of digital contents has also been widely spreading. Most of all, digital cartoon market like internet cartoon has been rapidly large so video cartooning continuously has been researched because of lack and variety of cartoon. Until now, video cartooning system has been focused in non-photorealistic rendering and word balloon. But the meaningful frame extraction must take priority for cartooning system when applying in service. In this paper, we propose new automatic frame extraction method for video cartooning system. At frist, we separate video and audio from movie and extract features parameter like MFCC and ZCR from audio data. Audio signal is classified to speech, music and speech+music comparing with already trained audio data using GMM distributor. So we can set speech area. In the video case, we extract frame using general scene change detection method like histogram method and extract meaningful frames in the cartoon using face detection among the already extracted frames. After that, first of all existent face within speech area image transition frame extract automatically. Suitable frame about movie cartooning automatically extract that extraction image transition frame at continuable period of time domain.

• Proceedings of the Korea Information Processing Society Conference
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• 2006.11a
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• pp.231-234
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• 2006

H.264 코딩시 Intra 모드는 다양한 모드 즉, 매크로블록(MB) 당 16개의 $4{\times}4$ 블록 각각에 대한 9가지의 $4{\times}4$ 모드와 4가지의 $16{\times}16$ 모드의 오류 값을 계산하여 최상의 모드를 선택하게 된다. 이와 같은 픽셀 기반의 예측 기법을 DCT 기반의 MPEG-2/H.264 트랜스코더에 적용할 경우 DCT 변환의 특성으로 인하여 모드 예측을 위한 계산량이 높아지는 단점이 있다. 본 논문에서는 이러한 문제점을 해결하기 위해 MPEG2 DCT를 H.264의 정수형 DCT로 변환한 후, DCT 계수의 특징을 이용하여 Intra 모드를 결정하는 기법을 제안한다. 이때, 계수의 특징이 모호하여 모드를 결정하기 어려운 경우는 몇 가지 모드를 선택하여 오류 값을 계산하여 모드를 결정한다. 현재 정밀한 실험은 진행 중이며, 여러 동영상의 첫 Intra 프레임에 대한 실험을 수행한 결과 MB의 모드 결정의 정확도는 프레임 내 이미지의 특징에 영향을 많이 받았다. 예를 들면 Mobile과 같이 프레임 내의 픽셀 간 에지가 많이 존재하는 프레임은 추가적인 모드 결정을 사용하지 않아도 93%정도의 정확도를 보였으며 Akiyo, Foreman과 같이 이웃한 픽셀간 유사도가 상대적으로 높은 경우는 약 80% 정도의 순수 정확성을 보였다. 그러나 모드 판단이 모호한 경우의 모드도 결정한다면 90%이상의 정확도를 보일 것으로 예상된다. 향후 이미지의 특성에 따라 모드를 결정하는 값을 유동적으로 설정하는 기법을 연구하여 정확도를 높이는 연구를 수행하도록 하겠다.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.30 no.4C
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• pp.276-282
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• 2005

These studies developed system as well as its algorithm which can measure traffic flow and vehicle speed on the highway as well as road by using industrial television(ITV) system. This algorithm used the real time processing of dynamic images. The processing algorithm of dynamic images is developed and proved its validity by frame grabber. Frame grabber can process the information of a small number of sample points only instead of the whole pixel of the images. In the techniques of this algorithm, we made approximate contour of vehicle by allocating sampling points in cross-direction of image, and recognized top of contour of vehicle. Applying these technique, we measured the number of passing vehicles of one lane as well as multilane. Speed of each vehicle is measured by computing the time difference between a pair of sample points on two sample Points lines.

• Journal of Advanced Navigation Technology
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• v.9 no.1
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• pp.10-18
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• 2005

These studies developed system as well as its algorithm which can measure traffic flow and vehicle speed on the highway as well as road by using industrial television(ITV) system. This algorithm used the real time processing of dynamic images. The processing algorithm of dynamic images is developed and proved its validity by frame grabber. Frame grabber can process the information of a small number of sample points only instead of the whole pixel of the images. In the techniques of this algorithm, we made approximate contour of vehicle by allocating sampling points in cross-direction of image, and recognized top of contour of vehicle. Applying these technique, we measured the number of passing vehicles of one lane as well as multilane. Speed of each vehicle is measured by computing the time difference between a pair of sample points on two sample points lines.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.25 no.8B
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• pp.1424-1435
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• 2000

A bit-rate controller that can achieve a constant bit rate when coding object-based video sequences is an important part to achieve an adaptation to bit-rate constraints, desired video quality, distribution of bits among objects, relationship between texture and shape coding, and determination of frame skip or not. Therefore we design content-based bit rate controller which will be used for relevant bit-rate control. The implementation is an extension of MPEG-4 rate control algorithm which employs a quadratic rate-quantizer model. The importance of different objects in a video is analyzed and segmented into a number of VOPs which are adaptively bit-allocated using the object-based modelling. Some test sequences are observed by a number of non-experts and interests in each object are analysed. The initial total target bit-rate for all objects is obtained by using the proposed technique. Then the total target bits are jointly analyzed for preventing from overflow or underflow of the buffer fullness. The target bits are distributed to each object in view of its importance, not only of statistical analysis such as motion vector magnitude, size of object shape, and coding distortion of previous frame. The scheme is compared with the rate controller adopted by the MPEG-4 VM8 video coder by representing their statistics and performance.

• Journal of Advanced Navigation Technology
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• v.15 no.5
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• pp.696-704
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• 2011

In this paper, we propose a mobile robot navigation algorithm using data fusion of a monocular camera and ultrasonic sensors. Threshold values for binary image processing are generated by a fuzzy inference method using image data and data of ultrasonic sensors. Threshold value variations improve obstacle detection for mobile robot to move to the goal under poor illumination environments. Obstacles detected by data fusion of camera and ultrasonic sensors are expressed on the grid map and avoided using the circular planning algorithm. The performance of the proposed method is evaluated by experiments on the Pioneer 2-DX mobile robot in the indoor room with poor lights and a narrow corridor.

• Proceedings of the Korean Society of Computer Information Conference
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• 2018.01a
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• pp.73-74
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• 2018

최근 사이버대학들은 치열한 입시경쟁을 겪고 있다. 이에 학교들은 교육질 개선을 위하여 다양한 노력을 하고 있다. S 사이버대학의 경우 최초로 전과목별로 실시간 채팅서비스를 제공하여 동영상 강의와 게시판의 한계를 극복하고자 하고 있다. 본 연구에서는 이러닝 교육의 학습효과를 종속변수로 설정하고, 학습내용, 교수설계요인과 채팅서비스를 독립변수로 투입하여, 다중회귀분석을 기법을 통해 분석하였다. 분석결과 학습내용, 교수설계요인, 채팅서비스 모두는 학습효과에 영향을 미치는 것으로 나타났다. 본 연구에서는 전교과목에 적용한 채팅서비스는 온라인 교육 효과를 높일 수 있는 방안임을 확인하였고, 효과적인 채팅 서비스의 활용방안을 제시하고자 한다.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.27 no.4A
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• pp.356-363
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• 2002

Video scene segmentation is fundamental role for content based video analysis and many kinds of scene segmentation schemes have been proposed in previous researches. However, there is a problem, which is to find optimal threshold value according to various kinds of movies and its content because only fixed single threshold value usually used for cut detection. In this paper, we proposed the variable dynamic threshold method, which change the threshold value by a probability distribution of cut detection interval and information of frame feature differences and cut detection interval in previous cut detection is used to determine the next cut detection. For this, we present a cut detection algorithm and a parameter generation method to change the threshold value in runtime. We also show the proposed method, which can minimize fault alarm rate than the existing methods efficiently by experimental results.

• Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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• v.26 no.6
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• pp.599-609
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• 2008

Development of computer and electronic technology leads innovative progress in spatial informatics and successful commercialization. Geospatial information technology plays an important role in decision making in various applications. However, information display media are two-dimensional plane that limits visual perception. Understanding human visual processing mechanism to percept stereo vision makes possible to implement three-dimensional stereo image display. This paper proposes on-the-fly stereo image generation methods that are involved with various exterior and camera parameters including exposure station, viewing direction, image size, overlap and focal length. Collinearity equations and parameters related with stereo viewing conditions were solved to generate realisitc stereo imagery. In addition stereo flying simulation scenery was generated with different viewing locations and directions. The stereo viewing is based on the parallax principle of two veiwing locations. This study implemented anaglyphic stereogram, polarization and lenticular stereo display methods. Existing display technology has limitation to provide visual information of three-dimensional and dynamic nature of the real world because the 3D spatial information is projected into 2D plane. Therefore, stereo display methods developed in this study improves geospatial information and applications of GIS by realistic stereo visualization.

• Journal of Digital Contents Society
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• v.5 no.3
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• pp.199-204
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• 2004

A problem of many fractal image compression algorithms providing good quality at low bit rate is that the decoding time rests on an iterative procedure whose complexity is imag-dependent. This paper proposes an iterative-free fractal image decoding algorithm to reduce the decoding time. In the proposed method, under the encoder previously with the same codebook image as an initial image to be used at the decoder, the fractal coefficients are obtained through calculating the similarity between the codebook image and an input image to be encoded. As the decoding time could be remarkably reduced. For verifying the validity and universality of proposed method, We evaluated and analyzed the performance of decoding time and image quality for a number of still images and a moving picture with different distributed characteristics.