• International Journal of Contents
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• 제8권2호
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• pp.1-6
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• 2012

Recently, content-based music information retrieval (MIR) systems for mobile devices have attracted great interest. However, music retrieval systems are greatly affected by background noise when music is recorded in noisy environments. Therefore, we evaluated various pre-processing methods using the Philips method to determine the one that performs most robust music retrieval in such environments. We found that dynamic noise reduction (DNR) is the best pre-processing method for a music retrieval system in noisy environments.

• International Journal of Knowledge Content Development & Technology
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• 제8권3호
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• pp.53-67
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• 2018

Local languages based information storage and retrieval system is essential for any online digital repository system. This paper reports the development of an interface in Bengali that allows users not only browsing and searching Indic-script based documents but also allows administrator performing various system level operations. This paper briefly describes the origin and key characteristics of Indic-scripts along with their encoding in Unicode standard with special reference to Bengali language. It also demonstrates the development processes of Bengal-script based information representation and retrieval (IRR) system viz. BURA (Burdwan University Research Archive) using different open standard and open source software (OSS) including different factors essential for building such successful Indic-script based multilingual digital libraries. The suggested strategies may help digital library developers to design an appropriate multi-script based information access services in any other Indic-script based languages.

• 컴퓨터교육학회논문지
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• 제8권1호
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• pp.81-91
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• 2005

본 논문에서는 칼라와 에지 정보를 이용한 내용기반 영상검색 기법을 제안하였다. 기존의 RGB 공간 정보를 이용하기 보다는, 시각적 인식에 보다 중점을 둔 HSI칼라 공간에서 고찰하였다. 비슷한 류의 색을 대표색으로 통합 표현하여, 개선된 칼라 정보 이용법을 본 연구에서 제안하였다. 또한 칼라 정보만을 이용했을 때의 시스템 성능상의 결점을 보완하기 위하여, 효율적인 에지 디텍션 기법을 함께 사용하였다. 칼라와 에지 기법을 통합함에 있어서, 각각의 기법에 적절한 가중치를 배분함으로써 시스템 성능을 실험적으로 향상시켰다.

• ETRI Journal
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• 제45권3호
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• pp.505-517
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• 2023

Color, texture, and shape act as important information for images in human recognition. For content-based image retrieval, many studies have combined color, texture, and shape features to improve the retrieval performance. However, there have not been many powerful methods for combining all color, texture, and shape features. This study proposes a content-based image retrieval method that uses the combined local and global features of color, texture, and shape. The color features are extracted from the color autocorrelogram; the texture features are extracted from the magnitude of a complete local binary pattern and the Gabor local correlation revealing local image characteristics; and the shape features are extracted from singular value decomposition that reflects global image characteristics. In this work, an experiment is performed to compare the proposed method with those that use our partial features and some existing techniques. The results show an average precision that is 19.60% higher than those of existing methods and 9.09% higher than those of recent ones. In conclusion, our proposed method is superior over other methods in terms of retrieval performance.

• 대한전자공학회:학술대회논문집
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• 대한전자공학회 2003년도 신호처리소사이어티 추계학술대회 논문집
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• pp.541-544
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• 2003

This paper proposes a new color feature and a corresponding distance measure for content-based retrieval of design images such as trade marks, pattens, logos, textile images, and icons. Simulation results with textile images show that the proposed method outperforms the traditional color-based retrieval methods which was originally proposed fer content-based retrieval of natural images.

• 정보통신설비학회논문지
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• 제9권2호
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• pp.73-79
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• 2010

The most popular technique for image retrieval in a heterogeneous collection of color images is the comparison of images based on their color histogram. The color histogram describes the distribution of colors in the color space of a color image. In the most image retrieval systems, the color histogram is used to compute similarities between the query image and all the images in a database. But, small changes in the resolution, scaling, and illumination may cause important modifications of the color histogram, and so two color images may be considered to be very different from each other even though they have completely related semantics. A new method of color feature representation based on the 3-dimensional RGB color map is proposed to improve the defects of the color histogram. The proposed method is based on the three 2-dimensional projection map evaluated by projecting the RGB color space on the RG, GB, and BR surfaces. The experimental results reveal that the proposed is less sensitive to small changes in the scene and that achieve higher retrieval performances than the traditional color histogram.

• 정보처리학회논문지B
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• 제9B권1호
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• pp.105-112
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• 2002

비디오데이터를 효율적으로 처리하기 위해서는 비디오 데이터가 가지고 있는 내용에 대한 정보를 데이터베이스에 저장하고 사용자들의 다양한 질의를 처리할 수 있는 의미검색기법이 요구된다. 본 논문에서는 특징 기반 검색과 주석 기반 검색을 통합하여 다양한 사용자의 의미검색을 지원하고, 유사성 질의와, SQBE(scene query by example) 질의가 가능한 비디오 검색시스템(Video Retrieval System : VRS)을 제안한다. 사용자는 SQBE 질의를 통해 장면의 검색 결과로 제시된 장면을 기반으로 객체의 추가 삭제를 통해 사용자가 원하는 좀 더 정확한 장면의 검색이 가능하다. 또한 SQBE질의를 위한 질의언어와 이 질의를 처리하기 위한 질의처리알고리즘을 제안하고 장면과 객체의 유사성 검색에 대한 성능평가를 수행했다. 제안된 시스템은 Visual C++과 Oracle을 이용하여 구현되었다.

• 한국감성과학회:학술대회논문집
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• 한국감성과학회 2002년도 춘계학술대회 논문집
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• pp.3-8
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• 2002

This paper introduces the basic concept of computational modeling of perception processes for multimedia data. Such processes are modeled as hierarchical inter- and intra- relationships amongst information in physical, physiological, psychological and cognitive layers in perception. Based on our framework, this paper gives the algorithms for content-based retrieval for multimedia database systems.

• 정보처리학회논문지D
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• 제8D권5호
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• pp.451-460
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• 2001

본 논문에서는 XML 문서의 효율적인 구조 검색을 위한 색인 모델을 제안한다. 색이 모델은 문선 계층상의 모든 레벨에서 내용 기반 질의와 구조 및 에트리뷰트 질의와 같은 다양한 질의를 지원하기 위한 구조정보와 이를 이용한 색이 구조로 구성된다. 구조검색을 지원하기 위해 새로운 구조정보 표현 방법을 제안한다. 제안한 구조정보 표현 방법에 따라 표현된 구조정보를 이용해 효율적인 검색을 위한 내용 색인, 구조 색인, 에트리뷰트 색인을 구성한다. 또한 내용과 구조가 혼합된 질의의 처리과정을 설명하고, 제안하는 색인 모델의 성능평가를 보임으로써 기존의 방법보다 성능이 우수함을 보인다.

• International Journal of Contents
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• 제4권2호
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• pp.24-28
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• 2008

In this paper, we propose a new approach for content-based video retrieval using non-parametric based motion classification in the shot-based video indexing structure. Our system proposed in this paper has supported the real-time video retrieval using spatio-temporal feature comparison by measuring the similarity between visual features and between motion features, respectively, after extracting representative frame and non-parametric motion information from shot-based video clips segmented by scene change detection method. The extraction of non-parametric based motion features, after the normalized motion vectors are created from an MPEG-compressed stream, is effectively fulfilled by discretizing each normalized motion vector into various angle bins, and by considering the mean, variance, and direction of motion vectors in these bins. To obtain visual feature in representative frame, we use the edge-based spatial descriptor. Experimental results show that our approach is superior to conventional methods with regard to the performance for video indexing and retrieval.