• Title/Summary/Keyword: Content-based Image Retrieval

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Content-Based Image Retrieval Using Adaptive Color Histogram

  • Yoo Gi-Hyoung;Park Jung-Man;You Kang-Soo;Yoo Seung-Sun;Kwak Hoon-Sung
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.30 no.9C
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    • pp.949-954
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    • 2005
  • From the 90's, the image information retrieval methods have been on progress. As good examples of the methods, Conventional histogram method and merged-color histogram method were introduced. Dey could get good result in image retrieval. However, Conventional histogram method has disadvantages if the histogram is shifted as a result of intensity change. Merged-color histogram, also, causes more process so, it needs more time to retrieve images. In this paper, we propose an improved new method using Adaptive Color Histogram(ACH) in image retrieval. The proposed method has been tested and verified through a number of simulations using hundreds of images in a database. The simulation results have quickly yielded the highly accurate candidate images in comparison to other retrieval methods. We show that ACH's can give superior results to color histograms for image retrieval.

Content-Based Image Retrieval using Color Feature of Region and Adaptive Color Histogram Bin Matching Method (영역의 컬러특징과 적응적 컬러 히스토그램 빈 매칭 방법을 이용한 내용기반 영상검색)

  • Park, Jung-Man;Yoo, Gi-Hyoung;Jang, Se-Young;Han, Deuk-Su;Kwak, Hoon-Sung
    • Proceedings of the KIEE Conference
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    • pp.364-366
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    • 2005
  • From the 90's, the image information retrieval methods have been on progress. As good examples of the methods, Conventional histogram method and merged-color histogram method were introduced. They could get good result in image retrieval. However, Conventional histogram method has disadvantages if the histogram is shifted as a result of intensity change. Merged-color histogram, also, causes more process so, it needs more time to retrieve images. In this paper, we propose an improved new method using Adaptive Color Histogram Bin Matching(AHB) in image retrieval. The proposed method has been tested and verified through a number of simulations using hundreds of images in a database. The simulation results have Quickly yielded the highly accurate candidate images in comparison to other retrieval methods. We show that AHB's can give superior results to color histograms for image retrieval.

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Content-based image retrieval using color (Hue를 이용한 내용기반 검색)

  • Kim Dong-Woo;Chang Un-Dong;Kim Young-Gil;Song Young-Jun
    • Proceedings of the Korea Contents Association Conference
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    • pp.480-483
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    • 2005
  • This study has proposed a method of content-based image retrieval in order to overcome disadvantages of color histogram. The existing histogram method has a weak point that reduces accuracy because of quantization error, and more. In order to solve this, we convert color information to HSV and quantize Hue factor being net color information and calculate histogram and then use this for retrieval feature that is robust in brightness, movement, and rotation. As a result of experimenting, the method proposed has showed better precision than the existing method.

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Content-based Image Retrieval System using Multi-index key (멀티인덱스키를 이용한 내용기반 이미지 검색시스템)

  • 김진천;김주연
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.8 no.1
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    • pp.102-107
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    • 2004
  • In this paper, we proposed a content-based image retrieval system using the multi-Index key. The multi-index ky combines the color distribution considering the spatial characteristic and the shape features of an image using the edge detection. Consequently, the evaluation shows that the performance of the proposed technique is better than other techniques.

Content-Based Image Retrieval using 3rd Order Color Object Relation (3차 칼라 오브젝트 관계에 의한 내용 기반 영상 검색)

  • 권희용;최재우;이인행;조동섭;황희융
    • Proceedings of the Korean Information Science Society Conference
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    • pp.500-502
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    • 1998
  • 최근 정보 사회에서 중요한 기술로 자리잡은 멀티미디어 정보 검색에 대한 다양한연구가 진행 중에 있다. 본 논문은 정지 화상에 대한 CBIR(Content-Based Image Retrieval)방법 중 칼라 정보를 이용한 방법에서 공간 정보를 충분하게 표현할 수 있는 알고리즘을 제안한다. 일반적으로 칼라 정보를 이용한 CBIR에서는 공간정보를 표현하기 위하여 인위적으로 영상을 여러 개로 분할하는 방법이나 영상의 히스토그램 내에서 영상의 위치 정보를 이용하는 방법 등이 연구되었다. 본 논문에서는 기존의 방법을 칼라 오브젝트의 추출 방법에 따라 1차와 2차 관계에 의한 방법으로 분류하고, 이동, 회전 특히 크기 변화(축소, 확대)에 탁월한 성능을 보이는 3차 칼라 오브젝트 관계를 이용한 방법을 소개한다. 제안된 알고리즘은 주어진 영상으로부터 양자화 된 24개의 버킷(bucket)을 생성해서 각 버킷 내의 칼라에 대한 색의 표준 편차로 색의 분산 정도를 나타내고, 빈도수가 높은 3개 버킷의 평균 칼라 위치를 계산해서 그들의 상호 각도를 추출하여 영상의 특징 벡터로 사용하였다. 실험결과 기존 방법보다 특히 영상의 크기 변화에 대해 좋은 결과를 얻을 수 있었으며, 계산량도 적어 효율적임을 보여 주었다.

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The implementation of the content-based image retrieval system using lines and bezier curves (직선과 bezier 곡선을 이용한 내용기반 화상 검색시스템의 구현)

  • 정원일;최기호
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.21 no.8
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    • pp.1861-1873
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    • 1996
  • This paper describes the content-based image retrieval system that is implemented to retrieve images using constituent rate of lines and Bezier curves. We proposed the line and Bezier curve extraction algorithm which extracts lines and curve that are fitted on the contour information of images. For this extration, it was necessary to remove internal area of the proprocessed object within images and to approximate its contour to polygon, and proposed retrevial algorithm which gets the simularity using the consitituent rate of lines and curves and perform the simularity matching.

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The Design and Implementation of a Content-based Image Retrieval System using the Texture Pattern and Slope Components of Contour Points (턱스쳐패턴과 윤곽점 기울기 성분을 이용한 내용기반 화상 검색시스템의 설계및 구현)

  • Choe, Hyeon-Seop;Kim, Cheol-Won;Kim, Seong-Dong;Choe, Gi-Ho
    • The Transactions of the Korea Information Processing Society
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    • v.4 no.1
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    • pp.54-66
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    • 1997
  • Efficient retrieval of image data is an important research issue in multimedia database. This paper proposes a new approach to a content-based image retrieval which allows queries to be composed of the local texture patterns and the slope components of contour points. The texture patterns extracted from the source image using the graylevel co-occurrence matrix and the slope components of contour points extracted from the binary image are converted into a internal feature representation of reduced dimensionality which preserves the perceptual similarity and those features can be used in creating efficient indexing structures for a content-based image retrieval. Experimental results of the image retrievalare presented to illustrate the usefulness of this approach that demonstrates the precision 82%, the recall 87% and the average rang 3.3 in content-based image data retrieval.

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Representative Feature Extraction of Objects using VQ and Its Application to Content-based Image Retrieval (VQ를 이용한 영상의 객체 특징 추출과 이를 이용한 내용 기반 영상 검색)

  • Jang, Dong-Sik;Jung, Seh-Hwan;Yoo, Hun-Woo;Sohn, Yong--Jun
    • Journal of KIISE:Computing Practices and Letters
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    • v.7 no.6
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    • pp.724-732
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    • 2001
  • In this paper, a new method of feature extraction of major objects to represent an image using Vector Quantization(VQ) is proposed. The principal features of the image, which are used in a content-based image retrieval system, are color, texture, shape and spatial positions of objects. The representative color and texture features are extracted from the given image using VQ(Vector Quantization) clustering algorithm with a general feature extraction method of color and texture. Since these are used for content-based image retrieval and searched by objects, it is possible to search and retrieve some desirable images regardless of the position, rotation and size of objects. The experimental results show that the representative feature extraction time is much reduced by using VQ, and the highest retrieval rate is given as the weighted values of color and texture are set to 0.5 and 0.5, respectively, and the proposed method provides up to 90% precision and recall rate for 'person'query images.

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Two-stage Content-based Image Retrieval Using the Dimensionality Condensation of Feature Vector (특징벡터의 차원축약 기법을 이용한 2단계 내용기반 이미지검색 시스템)

  • 조정원;최병욱
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.28 no.7C
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    • pp.719-725
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    • 2003
  • The content-based image retrieval system extracts features of color, shape and texture from raw images, and builds the database with those features in the indexing process. The search in the whole retrieval system is defined as a process which finds images that have large similarity to query image using the feature database. This paper proposes a new two-stage search method in the content-based image retrieval system. The method is that the features are condensed and stored by the property of Cauchy-Schwartz inequality in order to reduce the similarity computation time which takes a mostly response time from entering a query to getting retrieval results. By the extensive computer simulations, we have observed that the proposed two-stage search method successfully reduces the similarity computation time while maintaining the same retrieval relevance as the conventional exhaustive search method. We also have observed that the method is more effective as the number of images and dimensions of the feature space increase.