• The KIPS Transactions:PartB
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• v.9B no.1
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• pp.129-138
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• 2002

In this paper, a distance measuring algorithm for motion capture using color stereo camera is proposed. The color markers attached on articulations of an actor are captured by stereo color video cameras, and color region which has the same color of the marker's color in the captured images is separated from the other colors by finding dominant wavelength of colors. Color data in RGB (red, green, blue) color space is converted into CIE (Commission Internationale del'Eclairage) color space for the purpose of calculating wavelength. The dominant wavelength is selected from histogram of the neighbor wavelengths. The motion of the character in the cyber space is controlled by a program using the distance information of the moving markers.

• Proceedings of the Korea Information Processing Society Conference
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• 2013.11a
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• pp.1563-1566
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• 2013

최근 네트워크와 멀티미디어 관련 기술의 발달로 이미지 및 동영상과 같은 대용량 멀티미디어 데이터가 증가하고 있다. 이에 따라 대용량의 데이터에서 영상 정보의 효율적인 검색 방법이 요구 되고 있다. 하지만 기존의 전통적인 색인기술은 관리자가 영상을 직접 보면서 적절한 텍스트 내용을 입력하는 방법으로 시간이 많이 소요되며, 관리자의 성향에 따라 색인어의 입력이 다를 수 있어 검색시 오류를 발생시킬 수 있다. 따라서 본 논문에서는 영상으로부터 컬러 특징과 질감 특징을 추출하여 보다 효율적으로 내용 기반 영상 검색을 수행하는 방법을 제안한다. 실험을 통하여 다른 기존의 영상 검색 방법보다 검색 효율성에서 안정적이며 보다 나은 결과를 얻음을 확인한다.

• Proceedings of the Korea Information Processing Society Conference
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• 2009.04a
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• pp.257-260
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• 2009

기존 이미지 검색사이트는 대부분 이미지 파일의 이름에 포함된 단어를 기반으로 검색을 수행하였다. 좀더 진보한 이미지 검색을 위해서 하세도표를 이용한 색 구성 영역을 데이터베이스화 하고 Contour개념을 이용하여 이미지 자체의 직관적인 검색이 가능하도록 하는 시스템을 제안한다.

• Journal of the Institute of Convergence Signal Processing
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• v.3 no.3
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• pp.27-35
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• 2002

A knowledge-based image retrieval technique is image searching methods using some features from the queried image. The materials in this study are automobile head lamps. The input data is composed of characters and images which have various pattern. The numbers, special symbols, and general letters are under the category of the character. The image informations are made up of the distribution of pixel data, statistical analysis, and state of pattern which are useful for the knowledge data. In this paper, we implemented a retrieval system for the scientific crime detection at traffic accident using the proposed multi knowledge-based image retrieval technique. The values for the multi knowledge-based image features were extracted from color and gray scale each. With this 22 features, we improved the retrieval efficiency about the color information and pattern information. Visual basic, crystal report and MS access DB were used for this application. We anticipate the efficient scientific detection for the traffic accident and the tracking of suspicious vehicle.

• Journal of KIISE:Computer Systems and Theory
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• v.37 no.5
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• pp.314-318
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• 2010

This paper proposes an image retrieval method based on the Multiple Region-of-Interest. In the proposed method, the image is segmented into blocks, among which the blocks overlapped with multiple ROIs are selected. The similarity of images is measured using the MPEG-7 dominant color descriptor(DCD) and considering the relative location of the overlapped blocks. The experimental results showed that the proposed method improves the retrieval performance than the previous methods using the global DCD or comparing the blocks at the same position. In addition, the method that considers the relative position of blocks overlapped with the multiple ROIs also showed a better performance than the existing methods.

• Proceedings of the Korea Information Processing Society Conference
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• 2003.05b
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• pp.931-934
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• 2003

본 논문에서는 동영상 내용 기반 검색을 위한 표준 인덱스인 color layout descriptor(CLD)에 기반한 새로운 장면전환검출 방법을 제안한다. 제안한 방법은 입력 영상을 $8{\times}8$ 블록으로 나누고, 그 블록을 대표하는 대표컬러를 선택하여 DCT 변환 후 추출된 DC, AC 계수에 가중치를 부여한 다음 슬라이딩 윈도우를 적용시켜 장면 전환을 검출한다. 이러한 방법은 영상의 전체적인 특성과 국부적인 특성을 동시에 반영하므로, 조명변화나 물체의 움직임에 민감했던 기존 대표적인 방법인 히스토그램 기반 방법과 에지 변화율을 이용한 방법들이 가지는 문제점을 보완할 수 있다. 또한 제안한 방법은 비디오 검색을 위한 MPEG-7 의 검색 서술자 중의 하나인 CLD를 이용하는데 이러한 CLD 는 컬러의 공간적 분포를 잘 설명하므로 MPEG-7 을 위한 검색 서술자에 적합한 장면전환검출 및 검색이 이루어질 수 있다. 제안한 방법을 실험한 결과 기존의 방법보다 장면전환 검출율이 높게 나타났다.

• Proceedings of the Korea Institute of Convergence Signal Processing
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• 2001.06a
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• pp.265-268
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• 2001

In content-based video data retrieval, the representative-frame is usually used. To do that, the skill of detection for scene change is needed. Generally the color histogram comparison is used, but sensitive to light variation and tends to miss the scene change of similar color histogram. This paper shows how to use both color histogram comparison and entropy to prevent the false-positive of scene change occurred by light variation. At the experiments, il is more powerful to light variation to use both color histogram comparison entropy than to use only color histogram comparison.

• The Journal of the Korea institute of electronic communication sciences
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• v.5 no.2
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• pp.152-157
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• 2010

The development of computer and internet has introduced various types of media - such as, image, audio, video, and voice - to the traditional text-based information. However, most of the information retrieval systems are based only on text, which results in the absence of ability to use available information. By utilizing the available media, one can improve the performance of search system, which is commonly called content-based retrieval and content-based image retrieval system specifically tries to incorporate the analysis of images into search systems. In this paper, a content-based image retrieval system using HSI color space, ART2 algorithm, and SOM algorithm is introduced. First, images are analyzed in the HSI color space to generate several sets of features describing the images and an SOM algorithm is used to provide candidates of training features to a user. The features that are selected by a user are fed to the training part of a search system, which uses an ART2 algorithm. The proposed system can handle the case in which an image belongs to several groups and showed better performance than other systems.

• Proceedings of the Korean Information Science Society Conference
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• 2004.04b
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• pp.685-687
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• 2004

MPEG-7은 형태나 질감, 컬러 등의 속성 및 분포 등을 나타내기 위한 여러 가지 기술자(descriptor)들을 제공함으로써 검색의 효율을 높일 수 있는 방법을 포함한 표준화를 제시하고 있다. 본 논문에서는 영상의 특징을 MPEG-7의 설러 기술자중 에지 히스토그램 기술자(Edge Histogram Descriptor)를 통해 얻는다 추출된 에지 특징을 이용하여 영상의 정해진 각 역의 전체 후보영상과의 상대적 유사도를 비교하여 검색에 반영함으로써 검색의 효율을 향상시키는 방법을 제안한다.

• Journal of the Korean Society for information Management
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• v.28 no.2
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• pp.135-158
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• 2011

The ability of the searcher to express their information problem to an information retrieval system is fundamental to the retrieval process. Query by visual example is the principal query paradigm for expressing queries in a content-based image retrieval environment yet there is little empirical evidence to support its efficacy in facilitating query formulation. The aim of this research was to investigate the usability of the query by colour method in supporting a range of information problems in order to contribute to the gap in knowledge regarding the relationship between searchers' information problems and the query methods required to support efficient and effective visual query formulation. The results strongly suggest that the query method does not support visual query formulation and that there is a significant mismatch between the searchers information problems and the expressive power of the retrieval paradigm.