• Proceedings of the Korea Multimedia Society Conference
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• 2002.05d
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• pp.1046-1051
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• 2002

본 논문에서는 웨이브릿 변환 영상에서 객체 영역을 인식하는 새로운 필터링 방법을 제안하고, 제안한 방법을 이용하여 객체 기반 영상검색 방법을 비교 분석한다. 기존의 방법은 특징벡터를 웨이브릿 변환 영상의 부대역 전체에서 추출하기 때문에 불필요한 배경정보가 포함됨으로써 검색효율이 감소하였다. 그러나 제안한 방법은 객체영역에서 특징벡터를 추출하므로 더욱 정확한 정보가 추출될 뿐 아니라, 불필요한 배경정보를 제거함으로써 검색효율을 향상시키며, 객체의 위치나 크기에 상관없이 검색효율을 일정하게 유지한다.

• Proceedings of the IEEK Conference
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• 2003.07e
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• pp.1976-1979
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• 2003

본 논문에서는 연속영상에서 잡음과 객체가 잘 분할되지 않는 환경 내에 있는 객체를 자동으로 분할하는 차영상 기반 알고리즘을 제안하였다. 기존의 차영상 기반의 단일 임계간을 이용한 방식에는 잡음에 크게 영향을 받고 배경과 객체가 비슷한 밝기 값을 가지는 경우 잘 추출되지 않는 많은 문제점이 있다. 본 논문에서는 이러한 문제점을 해결하고자 임계값을 설정하는 영역을 축소하여 잡음간섭의 최소화를 구성하였고 축소된 영역 내의 윤곽선정보를 이용하여 배경 밝기 값의 유사함에서 나오는 간섭을 최소화함으로써 정밀한 객체를 추출할 수 있었다.

• Proceedings of the Korea Multimedia Society Conference
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• 2003.05b
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• pp.215-218
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• 2003

JPEG2000은 ISO/ITU-T에 의해 개발된 가장 최근의 영상 압축 표준으로 기존의 JPEG 표준이 제공하는 압축 성능을 개선하고 새로운 기능을 제공해준다. 이러한 기능 중 하나는 관심영역(Region of Interest) 부호화이다. JPEG2000 표준에서는 이러한 관심영역 부호화를 위해 Part 1에서는 Maxshift 방법을 정의하고 있다. Maxshift 방법은 관심영역을 완전히 복원하기 전까지 배경이 복원되지 않는다. 또한 영상전체를 웨이블릿 변환을 함으로써 메모리와 계산량이 상당히 많아진다. 본 논문에서는 JPEG 2000에서 사용되는 Maxshift 방법에서 관심영역이 완전복원되기 전에는 배경영역이 복원되지 않는 단점을 보완하고 부호화효율과 메모리 사용을 줄일 수 있는 영상 타일링에 기반한 관심영역 부호화 방법을 제안한다.

• Proceedings of the Korea Multimedia Society Conference
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• 2004.05a
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• pp.267-270
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• 2004

본 논문에서는 다양한 크기를 갖는 얼굴 영상들을 대상으로 얼굴 영역을 추출하고 추출된 얼굴 영역을 기준으로 증명 사진의 규격에 맞게 영상을 정규화하는 방법을 제안한다. 얼굴 영역의 추출을 위해서 본 논문에서는 피부색 확장을 통하여 얼굴 후보 영역을 추출하고. 얼굴 기관의 위치 정보와 얼굴 모양에 대한 통계치를 사용하여 최종 얼굴 영역을 결정한다 추출된 얼굴 영역과 배경 영역의 크기에 대한 비례 관계는 증명사진에 대한 통계조사에 의해 산출된 규칙을 적용하여 정규화한다. 제안된 방법은 다양한 배경을 갖는 130개 영상을 대상으로 실험하여 타당성을 확인하였다.

• 한국HCI학회:학술대회논문집
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• 2009.02a
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• pp.631-636
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• 2009

Foreground segmentation methods have steadily been researched in the field of computer vision. Especially, background subtraction which extracts a foreground image from the difference between the current frame and a reference image, called as "background image" have been widely used for a variety of real-time applications because of low computation and high-quality. However, if the background scene was dynamically changed, the background subtraction causes lots of errors. In this paper, we propose an efficient background subtraction method in dynamic environment with both static and dynamic scene. The proposed method is a hybrid method that uses the conventional background subtraction for static scene and depth information for dynamic scene. Its validity and efficiency are verified by demonstration in dynamic environment, where a video projector projects various images in the background.

• Journal of Korea Multimedia Society
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• v.16 no.11
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• pp.1288-1296
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• 2013

The prominent line at the singe image is the important fact for understanding spatial structure or estimating aesthetic scoring. According to this thesis, the abstraction of the background line helps analyzing vanishing point, reconstitution of 3 dimensions, and determining of image sloppiness. It also makes easy to calculate the rule of thirds. This thesis is composed of section hough transform mapping, prioritizing of the prominent line, and selection of the prominent line. These technologies are departmentalized to be applied abstraction of traffic lane, analyzing of building structure, abstraction of vanishing point, and abstraction of straight line documentation. This gives the choice that users are able to compose technology by considering characteristic of objects and luminous environment. This thesis also can be applied to abstract circle. The interval hough transform is able to select the number of prominent line which users want to abstract. It can analyze important prominent line numbers at the image and then abstract the lines, too. Results of prominent lines by experiments would be show at this thesis.

• The Journal of the Korea Contents Association
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• v.19 no.9
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• pp.144-151
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• 2019

The expression of natural backgrounds in a digital clip such as forest, water and sky break new ground and evolve. The process of arriving at a certain background style and designing belongs to the pre-production stage of animation produuction. Due to the advancement of CG technology, the production and consumption of animation has accelerated and so in an effort to reduce production time, the natural background has increasingly becomme normalised. For the distinction in contents, narrative and characters are emphasized in pre-production since it is believed that the background design will simply be a still image. However, there is a need to focus on background design as it is a tool that can effectively emphasize the narrative. This research is an analysis of the background design's role in forest background in productions such as "Alice's Adventures in Wonderland"(1951) and "Princess Mononoke"(1997). It details how appropriate each background forest was for the artist's intent using the 7 types of forest landscapes according to dendrology.

• Journal of Korea Multimedia Society
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• v.13 no.3
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• pp.417-429
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• 2010

Though background subtraction has been widely studied for last decades, it is still a poorly solved problem especially when it meets real environments. In this paper, we first address some common problems for background subtraction that occur in real environments and then those problems are resolved by improving an existing GMM-based background modeling method. First, to achieve low computations, fixed point operations are used. Because background model usually does not require high precision of variables, we can reduce the computation time while maintaining its accuracy by adopting fixed point operations rather than floating point operations. Secondly, to avoid erroneous backgrounds that are induced by high pedestrian traffic, static levels of pixels are examined using shot-time statistics of pixel history. By using a lower learning rate for non-static pixels, we can preserve valid backgrounds even for busy scenes where foregrounds dominate. Finally, to adapt rapid illumination changes, we estimated the intensity change between two consecutive frames as a linear transform and compensated learned background models according to the estimated transform. By applying the fixed point operation to existing GMM-based method, it was able to reduce the computation time to about 30% of the original processing time. Also, experiments on a real video with high pedestrian traffic showed that our proposed method improves the previous background modeling methods by 20% in detection rate and 5~10% in false alarm rate.

• The Journal of the Korea institute of electronic communication sciences
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• v.6 no.2
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• pp.206-211
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• 2011

In this paper, a fire detection algorithm based on video processing is proposed. At the first stage, background image extracted from CCTV video input signal, and then foreground image were separated by differencing CCTV input signal from background image. At the second stage, candidated area were extracted by using color information from foreground image. At the final stage, smoke or flame characteristic area were separated by using Gaussian mixture modeling applied to candidated area, and then fire can be detected. Through real experiments at the inner room, it is shown that the proposed system works well.

• Journal of the Institute of Electronics Engineers of Korea SP
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• v.43 no.4 s.310
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• pp.96-107
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• 2006

In this paper, a low bitrate video coding method based on new panoramic modeling is proposed for panning cameras. An input video frame from a panning camera is decomposed into a background image, rectangular moving object regions, and a residual image. In coding the background, we employ a panoramic model that can account for several image formation processes, such as perspective projection, lens distortion, vignetting and illumination effects. Moving objects aredetected, and their minimum bounding rectangular regions are coded with a JPEG-2000 coder. We have evaluated the effectiveness of the proposed algorithm with several indoor and outdoor sequences and found that the PSNR is improved by $1.3{\sim}4.4dB$ compared to that of JPEG-2000.