• Journal of the Korean Society for information Management
• /
• v.16 no.4
• /
• pp.125-150
• /
• 1999

This study reviews various aspects of design of user interfaces in interactive information retrieval systems. Specially the study examines, 1) search related interfaces such as query processing, search strategies, and multilingual processing, and 2) browsing related interfaces such as document browsing and search result browsing. The main goals of this review are to characterize user interface techniques in information retrieval systems and to suggest potential future research direction and challenges.

• Proceedings of the IEEK Conference
• /
• 2001.09a
• /
• pp.669-672
• /
• 2001

We propose an efficient algorithm for an interactive content-based image retrieval using relevance feedback. In the proposed algorithm, a new query feature vector first is yielded from the average feature vector of the relevant images that is fed back from the result images of the previous retrieval. Each component weight of a feature vector is computed from an inverse of standard deviation for each component of the relevant images. The updated feature vector of the query and the component weights are used in the iterative retrieval process. In addition, the irrelevant images are excluded from object images in the next iteration to obtain additional performance improvement. In order to evaluate the retrieval performance of the proposed method, we experiment for three image databases, that is, Corel, Vistex, and Ultra databases. We have chosen wavelet moments, BDIP and BVLC, and MFS as features representing the visual content of an image. The experimental results show that the proposed method yields large precision improvement.

• Proceedings of the IEEK Conference
• /
• summer
• /
• pp.427-434
• /
• 2004

In this paper, we present a overview of content-based image retrieval (CBIR) systems: its results and its problems. We propose our CBIR system currently based on color and texture. From the CBIR systems. we discuss the way to add semantic values in image retrieval systems. There are 3 ways for adding them: concept definition, machine learning and man-machine interaction. Along with this we introduce our preliminary results and discuss them in the goal of reaching semantic retrieval. Different result representation schemes are presented. At last, we present our work to build a complete annotated image database and our image annotaion program.

• Proceedings of the Korean Information Science Society Conference
• /
• 2005.07a
• /
• pp.301-303
• /
• 2005

인터넷 기술의 발전과 웹 사용자의 증가로 웹에는 매우 않은 정보들이 축적되고 있으며, 여기에는 또한 매우 많은 지역정보가 존재한다. 일반적으로 웹 정보라고 하는 것은 웹의 컨텐츠, 사용이력, 구조를 중심으로 한 정보이며, 이러한 정보를 하나의 중요한 공간 정보원으로 취급하여 웹으로부터 특정 지역에 관한 컨텐츠를 수집하고 이를 분석하여 사용자의 공간 정보원으로서 사용할 수 있다. 또한 인터넷, 무선통신, 지리정보시스템(GIS), 위치기반서비스(LBS) 등의 기술들이 모바일기기에 복합적으로 접목되면서 모바일기기에서의 새로운 형태의 정보에 대한 응용이 요구되고 있다. 본 논문에서는 이러한 웹 환경을 활용하고, 모바일 환경을 고려하여 GIS와 Web을 통합한 모바일 지역정보 검색 시스템을 제안한다.

• KSII Transactions on Internet and Information Systems (TIIS)
• /
• v.8 no.1
• /
• pp.249-268
• /
• 2014

Relevance feedback is an effective tool to bridge the gap between superficial image contents and medically-relevant sense in content-based medical image retrieval. In this paper, we propose an interactive medical image search framework based on pairwise constraint propagation. The basic idea is to obtain pairwise constraints from user feedback and propagate them to the entire image set to reconstruct the similarity matrix, and then rank medical images on this new manifold. In contrast to most of the algorithms that only concern manifold structure, the proposed method integrates pairwise constraint information in a feedback procedure and resolves the small sample size and the asymmetrical training typically in relevance feedback. We also introduce a long-term feedback strategy for our retrieval tasks. Experiments on two medical image datasets indicate the proposed approach can significantly improve the performance of medical image retrieval. The experiments also indicate that the proposed approach outperforms previous relevance feedback models.

• The KIPS Transactions:PartB
• /
• v.9B no.4
• /
• pp.437-444
• /
• 2002

There are some important that development of tools to retrieve information by simple operation in large of nave users in the world wide web. In general, query formulation method and operators are variety, not easy to formulate query in information retrieval system or web based retrieval engine. In this paper, we propose "Concept Wizard" to support query formulation with concept term expansion in natural language query information retrieval system. The Concept Wizard are interactively supporting query formulation using thesaurus and Providing plug-in on the web.

• Journal of KIISE:Computing Practices and Letters
• /
• v.10 no.6
• /
• pp.514-528
• /
• 2004

An emotion-based video scene retrieval algorithm is proposed in this paper. First, abrupt/gradual shot boundaries are detected in the video clip representing a specific story Then, five video features such as 'average color histogram' 'average brightness', 'average edge histogram', 'average shot duration', and 'gradual change rate' are extracted from each of the videos and mapping between these features and the emotional space that user has in mind is achieved by an interactive genetic algorithm. Once the proposed algorithm has selected videos that contain the corresponding emotion from initial population of videos, feature vectors from the selected videos are regarded as chromosomes and a genetic crossover is applied over them. Next, new chromosomes after crossover and feature vectors in the database videos are compared based on the similarity function to obtain the most similar videos as solutions of the next generation. By iterating above procedures, new population of videos that user has in mind are retrieved. In order to show the validity of the proposed method, six example categories such as 'action', 'excitement', 'suspense', 'quietness', 'relaxation', 'happiness' are used as emotions for experiments. Over 300 commercial videos, retrieval results show 70% effectiveness in average.

• Journal of KIISE:Information Networking
• /
• v.29 no.1
• /
• pp.97-107
• /
• 2002

In general, under interactive broadcasting environment, user finds additional service using top-down menu. However, user can't know that additional service provides information until retrieval has finished and top-down menu requires multi-level retrieval. This paper proposes the new method for additional service providing not using top-down menu but using object selection. For the purpose of this method, the movie of a MPEG should be synchronized with the object information(position, size, shape) and object tracking technique is required. Synchronization technique uses the Directshow provided by the Microsoft. Object tracking techniques use a motion-based tracking and a model-based tracking together. We divide object into two parts. One is face and the other is substance. Face tracking uses model-based tracking and Substance uses motion-based tracking base on the block matching algorithm. To improve precise tracking, motion-based tracking apply the temporal prediction search algorithm and model-based tracking apply the face model which merge ellipse model and color model.

• Genomics & Informatics
• /
• v.2 no.3
• /
• pp.131-133
• /
• 2004

MediScore is an information retrieval system, which helps to search for the set of genes associated with a specific disease or the set of diseases associated with a specific gene. Despite recent improvement of natural language processing (NLP) and other text mining approaches to search for disease associated genes, many false positive results come out due to diversity of exceptional cases as well as ambiguities in gene names. In order to overcome the weak points of current text mining approaches, MediScore introduces statistical normalization based on binomial to normal distribution approximation which corrects inaccurate scores caused by common words not representing genes and interactive rescoring by the user to remove the false positive results. Interactive rescoring includes individual alias scoring for each gene to remove false gene synonyms, referring MEDLINE abstracts, and cross referencing between OMIM and other related information.

• Proceedings of the Korean Society of Computer Information Conference
• /
• 2020.07a
• /
• pp.369-370
• /
• 2020

최근 크로스 미디어 이용의 확대로 일방적으로 제품의 정보를 받아들이던 수동적인 소비자는 직접 정보를 찾아보는 능동적 소비자로 바뀌었다. 따라서 대중들은 단순히 방송을 시청만 하는 것이 아니라 방송 중에 나오는 인물, 스토리, 제품 등에 대한 다양한 정보를 함께 소비하고 있다. 하지만 시청에 사용되는 디바이스와 검색에 사용되는 디바이스가 달라 불편함이 있고 방송과 검색의 시점의 차이로 대중들은 간접광고를 접한 후 대상제품의 구체적인 정보를 얻는데 어려움이 있다. 또한 제품회사는 간접광고를 접한 시청자들의 반응을 통한 간접광고의 효과를 입증하기 어렵다. 이 논문에서는 간접광고에서 제품 정보의 즉각적 검색을 지원하는 인터렉티브 동영상 플랫폼을 제안하고자 한다. 이를 통해 시청자는 본 방송을 시청하는 도중 관심이 가는 제품이 나왔을 때, 이벤트를 주어 화면 속 제품의 구체적인 정보를 빠르게 제공받을 수 있고 제품회사에서는 인터렉티브한 시청자의 반응을 제공받아 간접광고에 대한 효과를 확인할 수 있도록 한다.