• Proceedings of the Korea Contents Association Conference
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• 2006.11a
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• pp.612-615
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• 2006

The management of image information settles as an important field with the advent of multimedia age and we are in need of the effective retrieval method to manage systematically image information. It is used to color, texture, and shape features for content-based image retrieval. And existing methods using multiple features have problems that the retrieval process is embarrassed because each weight is set up manually. So we have solved these problems by assignment of weight applying fuzzy integral. This paper proposed the optimized values of fuzzy measure by experiments.

• Journal of the Institute of Electronics Engineers of Korea SP
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• v.41 no.1
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• pp.21-28
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• 2004

In the field of content-based image retrieval, many numerical features have been proposed for representing visual image content such as color, torture, and shape. Because the features are assumed to be independent, each of them is extracted without ny consideration of the others. In this paper, we consider the relationship between color and texture and propose a new feature called CCE(channel color energy). Simulation results with natural images show that the proposed method outperforms the conventional regular weighted comparison method and SCFT(sequential chromatic Fourier transform)-based color torture method.

• Proceedings of the Korean Information Science Society Conference
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• 2005.11b
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• pp.928-930
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• 2005

얼굴의 특징점 추적은 많은 응용프로그램에서 사용된다. AAM기반의 접근방식은 정교한 얼굴 특징점 정보를 제공하지만 정확한 특징 점 추출을 위해 얼굴 모양 파라미터 초기화 문제와 연속 영상에서 얼굴의 이동이 클 경우 모션 보정에 대한 문제가 여전히 남아있다. 이러한 문제를 풀기 위해 본 논문에서는 CAMShift를 사용해 얼굴 영역을 추적하고, 얼굴 영역 내에서 입을 검출함으로써 AAM 검색을 위한 얼굴 모양 파라미터를 추정하는 방법을 제안한다. 기존 알고리즘과의 비교 실험을 통해 얼굴의 움직임이 심한 상황에서도 제안하는 알고리즘의 성능이 매우 우수함을 확인할 수 있었다.

• Journal of Korea Multimedia Society
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• v.3 no.5
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• pp.454-460
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• 2000

To retrieve complex data such as images, the content-based retrieval method rather than keyword based method is required. In this paper, we implemented a content-based image retrieval system which retrieves object of user query effectively using invariant moments which have invariant properties about linear transformation like position transition, rotation and scaling. To extract the shape feature of objects in an image, we propose a labeling algorithm that extracts objects from an image and apply invariant moments to each object. Hashing method is also applied to reduce a retrieval time and index images effectively. The experimental results demonstrate the high retrieval efficiency i.e precision 85%, recall 23%. Consequently, our retrieval system shows better performance than the conventional system that cannot express the shale of objects exactly.

• Journal of the Korea Society of Computer and Information
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• v.19 no.1
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• pp.203-213
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• 2014

In this study, we proposed a new model with ISOIA (Insect Search by Observation based on Insect Appearance) method based on observation by insect appearance to improve user satisfaction, and compared it with the ISBC and ISOBC methods. In order to test these three insect search systems with AHP method, we derived three evaluation criteria for user satisfaction and three sub-evaluation criteria by evaluation criterion. In the ecological environment, non-experts need insect search systems to identify insect species and to get u-Learning contents related to the insects. To assist the public the non-experts, ISBC (Insect Search by Biological Classification) method based on biological classification to search insects and ISOBC (Insect Search by Observation based on Biological Classification) method based on the inference that identifies the observed insect through observation according to biological classification have been provided. In the test results, we found the order of priorities was ISOIA, ISOBC, and ISBC. It shows that the ISOIA system proposed in this study is superior in usage and quality compared with the previous insect search systems.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.25 no.8B
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• pp.1391-1399
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• 2000

In this paper, we discussed the region-based image retrieval method using image segmentation. We proposed a segmentation method which can reduce the effect of a irregular light sources. The image segmentation method uses a region-merging, and candidate regions which are merged were selected by the energy values of high frequency bands in discrete wavelet transform. The content-based image retrieval is executed by using the segmented region information, and the images are retrieved by a color, texture, shape feature vector. The similarity measure between regions is processed by the Euclidean distance of the feature vectors. The simulation results shows that the proposed method is reasonable.

• The KIPS Transactions:PartB
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• v.12B no.1 s.97
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• pp.47-56
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• 2005

A moving object has a various features that its spatial location, shape, and size are changed as time goes. In addition, the moving object has both temporal feature and spatial feature. It is one of the highly interested feature information in video data. In this paper, we propose an efficient content-based multimedia information retrieval system, so tailed ECoMOT which enables user to retrieve video data by using a trajectory information of moving objects in video data. The ECoMOT includes several novel techniques to achieve content-based retrieval using moving objects' trajectories : (1) Muitiple trajectory modeling technique to model the multiple trajectories composed of several moving objects; (2) Multiple similar trajectory retrieval technique to retrieve more similar trajectories by measuring similarity between a given two trajectories composed of several moving objects; (3) Superimposed signature-based trajectory indexing technique to effectively search corresponding trajectories from a large trajectory databases; (4) convenient trajectory extraction, query generation, and retrieval interface based on graphic user interface

• Journal of Korea Multimedia Society
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• v.9 no.5
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• pp.658-670
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• 2006

As the educational media tends to be more digitalized and individualized, the learning paradigm is dramatically changing into e-learning. Existing on-line courseware gives a learner more chances to learn when they are home with their own PCs. However, it is of little use when they are away from their digital media. Also, it is very labor-intensive to convert the original off-line contents to on-line contents. This paper proposes education mobile contents(EMC) that can supply the learners with dynamic interactions using various multimedia information by recognizing real images of off-line contents using mobile devices. Content-based image retrieval based on object shapes is used to recognize the real image, and shapes are represented by differential chain code with estimated new starting points to obtain rotation-invariant representation, which is fitted to computational resources of mobile devices with low resolution camera. Moreover we use a dynamic time warping method to recognize the object shape, which compensates scale variations of an object. The EMC can provide learners with quick and accurate on-line contents on off-line ones using mobile devices without limitations of space.

• Proceedings of the Korea Multimedia Society Conference
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• 2000.11a
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• pp.256-261
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• 2000

디지털 방송, 웹의 발전으로 내용 기반 검색, 비디오 인덱싱, 비디오 검색 등의 시스템들이 많이 연구, 개발되고 있으며, 이러한 시스템에서는 사람을 주제로 검색하는 요구가 많이 발생한다. 대부분의 얼굴 영역 추출 및 인식 시스템들은 질감, 모양, 움직임, 칼라 등의 특징들을 이용하는데, 이들 중 칼라 특징은 기존 시스템의 첫 번째 처리 단계에서 많이 사용된다. 하지만, 복잡한 배경, 조명, 화장(make up), 잡영들 때문에 미리 정의된 단일 칼라 임계값을 이용하여 얼굴 영역과 비 얼굴 영역으로 구분하면 정확한 추출 결과를 얻기 힘들다는 문제가 있다. 본 논문에서는, 점진적으로 피부색 영역을 확장시키면서 얼굴 영역을 추출하는 방법을 제안한다. 이때 확장 단계에서 얼굴 영역을 판단하기 위해, 일굴 각 기관들의 위치적 정보를 사용하였다. 얼굴 기관은 눈과 입을 사용했는데, 여러 가지 요인으로 인해 이들을 정확하게 추출하기가 어렵기 때문에, 각 단계에서 얼굴 후보 영역 내부의 수평 방향성을 가지는 경계를 눈과 입의 영역으로 간주했다. 실험을 통해, 제안한 방법이 하이라이트(highlight)에 의해 얼굴 영역의 일부가 왜곡된 경우와 얼굴 영역이 피부색과 유사한 배경에 인접해 있는 경우에 대해서도 강인하게 얼굴 영역을 추출할 수 있음을 확인하였다.

• The Transactions of the Korea Information Processing Society
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• v.4 no.6
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• pp.1418-1432
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• 1997

Most general content_based image retrieval techniques use color and texture as retrieval indices. In color techniques, color histogram and color pair based color retrieval techniques suffer from a lack of spatial information and text. And This paper describes the design and implementation of content_based image retrieval system using color space and keywords. The preprocessor for image retrieval has used the coordinate system of the existing HSI(Hue, Saturation, Intensity) and preformed to split One image into chromatic region and achromatic region respectively, It is necessary to normalize the size of image for 200*N or N*200 and to convert true colors into 256 color. Two color histograms for background and object are used in order to decide on color selection in the color space. Spatial information is obtained using a maximum entropy discretization. It is possible to choose the class, color, shape, location and size of image by using keyword. An input color is limited by 15 kinds keyword of chromatic and achromatic colors of the Korea Industrial Standards. Image retrieval method is used as the key of retrieval properties in the similarity. The weight values of color space ${\alpha}(%)and\;keyword\;{\beta}(%)$ can be chosen by the user in inputting the query words, controlling the values according to the properties of image_contents. The result of retrieval in the test using extracted feature such as color space and keyword to the query image are lower that those of weight value. In the case of weight value, the average of te measuring parameters shows approximate Precision(0.858), Recall(0.936), RT(1), MT(0). The above results have proved higher retrieval effects than the content_based image retrieval by using color space of keywords.