• Journal of Information Processing Systems
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• 제9권3호
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• pp.349-364
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• 2013

The big challenge in current content-based image retrieval systems is to reduce the semantic gap between the low level-features and high-level concepts. In this paper, we have proposed a novel framework for efficient image retrieval to improve the retrieval results significantly as a means to addressing this problem. In our proposed method, we first extracted a strong set of image features by using the dual-tree rotated complex wavelet filters (DT-RCWF) and dual tree-complex wavelet transform (DT-CWT) jointly, which obtains features in 12 different directions. Second, we presented a relevance feedback (RF) framework for efficient image retrieval by employing a support vector machine (SVM), which learns the semantic relationship among images using the knowledge, based on the user interaction. Extensive experiments show that there is a significant improvement in retrieval performance with the proposed method using SVMRF compared with the retrieval performance without RF. The proposed method improves retrieval performance from 78.5% to 92.29% on the texture database in terms of retrieval accuracy and from 57.20% to 94.2% on the Corel image database, in terms of precision in a much lower number of iterations.

• 정보관리학회지
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• 제8권2호
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• pp.3-31
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• 1991

본 연구에서는 지능형 정보 검색의 개념을 정립하고, 지능형 정보 검색 시스템의 모 형을 제시하였다. 실제로 우리말 문헌을 검색하는 지능형 시스템을 구현하였으며, 이 시스템 은 자연 언어 인터페이스, 이용자 모형화, 격관계를 이용한 자동 색인, 복수의 검색 기법 등 을 수용한다.

• Journal of information and communication convergence engineering
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• 제19권1호
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• pp.36-41
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• 2021

Text-based image retrieval is not only cumbersome as it requires the manual input of keywords by the user, but is also limited in the semantic approach of keywords. However, content-based image retrieval enables visual processing by a computer to solve the problems of text retrieval more fundamentally. Vision applications such as extraction and mapping of image characteristics, require the processing of a large amount of data in a mobile environment, rendering efficient power consumption difficult. Hence, an effective image retrieval method on mobile platforms is proposed herein. To provide the visual meaning of keywords to be inserted into images, the efficiency of image retrieval is improved by extracting keywords of exchangeable image file format metadata from images retrieved through a content-based similar image retrieval method and then adding automatic keywords to images captured on mobile devices. Additionally, users can manually add or modify keywords to the image metadata.

• 대한전자공학회:학술대회논문집
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• 대한전자공학회 1999년도 추계종합학술대회 논문집
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• pp.426-429
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• 1999

Many similar class components are stored in object-storage but the object-storage has needed the retrieval function of correct component for reuse. Accordingly this paper designed the class component retrieval viewer of the object-storage by using the improved spreading activation strategy. Object-storage has made up of information of inheritance relation, superclass, subclass, and we defined the queries about each class function. Also we specified connectionist relaxation of the each class and query, finally we gained retrieval result which showed highest activation value order of class component information including the query function.

• 한국정보통신학회:학술대회논문집
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• 한국해양정보통신학회 2008년도 춘계종합학술대회 A
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• pp.151-154
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• 2008

본 논문은 현 검색시스템의 단순한 키워드 입력 방식에서 발생하는 오차를 줄이기 위해 이미지의 그레이스케일 히스토그램과 에지정보를 이용하는 검색 시스템 구현을 하였다. 검색알고리즘은 질의 이미지의 특징을 추출하는 단계, 이미지 정제 및 에지정보 추출단계, 추출된 특징을 분석하는 단계, 분석된 특징들로부터 필요한 정보를 확보하는 단계, 확보된 정보를 데이터베이스로부터 검색하는 단계, 검색된 데이터베이스에서 이미지를 비교 추출단계로 이루어진다. 제안한 검색시스템은 빠른 검색과 고 정확도를 목적으로 실현되며 시뮬레이션을 통해 이를 검증하고자 하였다.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제17권2호
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• pp.450-470
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• 2023

Traditional cloud computing faces some challenges such as huge energy consumption, network delay and single point of failure. Edge computing is a typical distributed processing platform which includes multiple edge servers closer to the users, thus is more robust and can provide real-time computing services. Although outsourcing data to edge servers can bring great convenience, it also brings serious security threats. In order to provide image retrieval while ensuring users' data privacy, a privacy preserving image retrieval scheme in edge environment is proposed. Considering the distributed characteristics of edge computing environment and the requirement for lightweight computing, we present a privacy-preserving image retrieval scheme in edge computing environment, which two or more "honest but curious" servers retrieve the image quickly and accurately without divulging the image content. Compared with other traditional schemes, the scheme consumes less computing resources and has higher computing efficiency, which is more suitable for resource-constrained edge computing environment. Experimental results show the algorithm has high security, retrieval accuracy and efficiency.

• 한국도서관정보학회지
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• 제18권
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• pp.245-268
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• 1991

Some conclusions derived from the study are as follows : 1) Most conventional information retrieval systems require users do precisely that specify the information they require, but user's information needs are not always precise. 2) Information need arise from when users are in an anomalous stats of knowledge about some problem, so user's information needs are not always precise. 3) Information retrieval systems must assist to users make themselves correct, complement, and specify their information need. When information need arise, systems should understand the state of knowledge and will be design to present and specify their ill-defined potential information need. 4) Existing information retrieval techniques need a tool to complement current its disadvantages and to enhance retrieval efficiency. Browsing searching will be a role such as a tool. 5) Browsing searching can understand user's state of knowledge and assist to specify not only pre-searching information need but also changed information need during searching progress.

• 정보관리학회지
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• 제14권2호
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• pp.123-141
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• 1997

본 논문에서는 문헌의 전문을 대상으로 얻어진 4개의 상이한 적합성 판정 세트가 전문검색시스템의 검색효율성 평가에 미치는 영향을 살펴보았다. 각 적합성 판정 세트간의 검색효율성에는 주목할 만한 차이가 없는 것으로 밝혀졌다. 이는 적합성 개념에 대한 다양한 관점이 검색효율성의 평가에는 커다란 영향을 미치지 못하고 있음을 암시하는 것이다. 그러나, 적합성 정보를 효과적으로 이용하는 정교한 검색기법인 적합성 피이드백을 통합한 검색실험은 계속 연구되어야 할 과제로 제시하고 있다.

• 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.

• 한국컴퓨터정보학회논문지
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• 제5권3호
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• pp.215-219
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• 2000

The purpose of this paper is to propose a method to maximize the efficiency of a content-based image retrieval for various kinds of images. This paper discuss the self-adaptivity for the change of image domain and the self-selection of optimal features for query image, and present the efficient method to maximize content-based retrieval for various kinds of images. In this method, a content-based retrieval system is adopted to select automatically distinctive feature patterns which have a maximum efficiency of image retrieval in various kinds of images. Experimental results show that the Proposed method is improved 3% than the method using individual features.