• 제목/요약/키워드: Search Terms

검색결과 1,518건 처리시간 0.034초

시간적 상관성을 이용한 적응적 블록 정합 알고리즘 (An Adaptive Block Matching Algorithm Based on Temporal Correlations)

  • 윤효순;이귀상
    • 정보처리학회논문지B
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    • 제9B권2호
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    • pp.199-204
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    • 2002
  • 움직임 추정과 움직임 보상기법은 연속한 비디오 프레임간의 시간적 중복성을 이용하여 동영상내에 존재하는 중복된 데이터를 제거하기 때문에 비디오 영상 압축에서 중요한 역할을 하지만 많은 계산량으로 인하여 실시간 응용 및 고해상도 응용에 많은 어려움을 가지고 있다. 만일 움직임 추정을 하기 전에 블록의 움직임을 예측할 수 있다면 이를 바탕으로 탐색영역에서 초기 탐색점 위치와 탐색 패턴을 결정할 수 있을 것이다. 본 논문에서는 움직임의 높은 시간적 상관성을 이용하여 초기 탐색점 위치와 탐색 패턴을 결정함으로써 적응적으로 움직임을 추정하는 새로운 기법을 제안한다. 실험을 통하여 제안된 알고리즘을 다이아몬드 탐색 기법과 비교하였을 경우, 제안된 알고리즘은 움직임 보상 예측된 화질에 있어서 약 0.1∼0.5(dB)정도 성능을 향상시켰으며 움직임 벡터 추정의 속도에 있어서 약 50% 이상 높은 성능 향상을 보였다.

질의 내부 단어 인접도를 이용한 검색 효율 향상 기법 (A Search Efficiency Improvement Method using Internal Contiguity in Query Terms)

  • 윤성웅;채진기;이상훈
    • 한국정보과학회논문지:데이타베이스
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    • 제35권2호
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    • pp.192-198
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    • 2008
  • 수많은 웹 정보 중에서 사용자가 원하는 정보를 찾아내는 것은 매우 어렵다. 검색 엔진은 웹정보를 요약하였다가 사용자의 질의에 따라 상대적 중요도와 정보의 적합도를 반영한 검색순위를 제공한다. 그러나 이 순위는 개별 사용자가 원하는 정보를 상위 순위에 보여주는데 제한이 있다. 본 논문에서는 사용자의 검색 의도가 질의에 가장 잘 나타난다고 보고 질의의 의미를 잘 반영하는 웹 정보를 선택적으로 상위 순위화하기 위하여 질의 내부의 단어 인접도를 이용한 재순위화 방법을 제시하였다. 실험 결과 매우 간단한 방법으로 사용자가 요구하는 정보를 75.8%의 확률로 찾아낼 수 있으며, 선별된 정보들의 선택적인 순위 상승으로 $13{\sim}20%$의 검색 효율 향상을 기대할 수 있다.

탐색자의 주제배경이 탐색효과에 미치는 영향 (A Study on the Effect of the Searcher색s Subject Background on the Result of Online Database Searches)

  • 이근봉
    • 한국비블리아학회지
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    • 제7권1호
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    • pp.293-317
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    • 1994
  • The Purpose of this study is to verify the effect of the searcher's subject background on the result of online database searches. To achieve this purpose, an experimental method was adopted. 180 students performed online searches in the three different libraries chosen for this study. The subjects were classified into two groups according to the scores of the test. Data concerning processes, behavior, and results of the searches performed by the subjects in real situations were gathered. Immediately following the searches, the extent of their subject background were assessed through interview. The search effect consists of the 4 elements: search efficiency (the number of terms used per unit time), the number of relevant documents, the number of relevant documents per unit time, precision ratio. The major findings of this study are summarized as belows. 1. The searchers with strong subject background has significantly higher efficiency in searches made. Group A (of those with strong subject back-ground) use more search terms per unit time than Group B (of those with weak subject background) do. 2. In the searches made by those with strong subject background, more relevant documents art retrieved. 3. In the searches made by those with strong subject background, more relevant documents per unit time are retrieved. 4. The searchers with strong subject background has significantly higher precision ratio in searches made. In the searches made by those with strong subject background, more relevant documents of documents retrieved are retrieved.

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Experimental Comparisons of Leading Display and RSVP Display of Chinese Dynamic Text in Searching Tasks

  • Tong, Songzhen;Choe, Pilsung;Shi, Pei;Yang, Lin
    • 대한인간공학회지
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    • 제32권3호
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    • pp.253-258
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    • 2013
  • Objective: This study investigates user performance and user perceptions of dynamic Chinese text displays (Leading display and RSVP display) when users search for target information. Background: Today, information searching with dynamic displays is widely used in TV programs, on Internet advertisements, for traffic information systems, and more. Method: A human factors experiment was conducted to compare both displays. Eighteen subjects participated in evaluating two simulated interfaces for the leading display and the RSVP display. Results: The results show that the leading display was better in terms of search time and certain subjective measurements (Easiness, frustration, anxiety). The latter results are consistent with the conclusions of other research efforts showing that dynamic displays are more effective and efficient when reading information. Conclusion: The leading display is more useful for Chinese users in terms of both information searching and information reading. Application: This study helps design dynamic displays written in Chinese texts.

이미지 검색을 위한 칼라 분포 기술자의 성능 평가 (An Empirical Evaluation of Color Distribution Descriptor for Image Search)

  • 이춘상;이요환;김영섭;이상범
    • 반도체디스플레이기술학회지
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    • 제5권2호
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    • pp.27-31
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    • 2006
  • As more and more digital images are made by various applications, image retrieval becomes a primary concern in technology of multimedia. This paper presents color based descriptor that uses information of color distribution in color images which is the most basic element for image search and performance of proposed visual feature is evaluated through the simulation. In designing the image search descriptor used color histogram, HSV, Daubechies 9/7 and 2 level wavelet decomposition provide better results than other parameters in terms of computational time and performances. Also histogram quadratic matrix outperforms the sum of absolute difference in similarity measurements, but spends more than 60 computational times.

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움직임 분류와 직접 탐색 패턴을 통한 고속 블록 움직임 추정 알고리즘 (A Fast Block Motion Estimation Algorithm Based On Motion Classification And Directional Search Patterns)

  • 박순철;후메라리사;최태선
    • 대한전자공학회:학술대회논문집
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    • 대한전자공학회 2008년도 하계종합학술대회
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    • pp.903-904
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    • 2008
  • This paper suggests a simple scheme of block motion estimation in which the search pattern selection is based on the classification of motion content available in the spatio temporal neighboring blocks. The search area is divided into eight sectors and the search pattern selection is also based on the direction of predicted motion vector. Experimental results show that the proposed algorithm has achieved good predicted image quality measured in terms of PSNR and has very less computational complexity.

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Munkres 최적할당 기법을 적용한 무기할당 알고리즘 (A Weapon Assignment Algorithm Using the Munkres Optimal Assignment Method)

  • 김지은;신진화;조길석
    • 한국군사과학기술학회지
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    • 제13권1호
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    • pp.1-8
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    • 2010
  • This paper presents global and optimal solution for weapon assignment problems using the Munkres assignment algorithm. We propose a new modeling method of weapon assignment problems concerning some constraints of weapon systems. In this paper, we compares the Munkres weapon assignment algorithm with two other algorithms employing a search tree model in terms of computational complexity and performance. One is an optimal algorithm using exhausted search and the other is a greedy algorithm which selects the first search result as a solution. The experiment results show that the Munkres weapon assignment algorithm has better performance and less computational complexity in comparison with the two other algorithms.

광전소자 제조를 위한 최대 광 결합점 검색 알고리즘 (Maximum Optical Coupling Point Search Algorithm for Manufacturing of Optical Device)

  • 한일호;김회율
    • 대한전자공학회:학술대회논문집
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    • 대한전자공학회 2001년도 하계종합학술대회 논문집(5)
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    • pp.9-12
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    • 2001
  • Optical aligning process to archive the maximum optical coupling is crucial in many optical device manufacturing line such as laser diode module. Due to the three-dimensional nature of housing module and the aligning process for laser diode coupler, large amount of the manufacturing time, typically ranging from tens of minutes to an hour has to be devoted to the aligning process alone. In this thesis, we propose a new optical aligning process that employee a two-pass algorithm: coarse-to-fine search. Coarse search is a kind of blind search that finds the candidate region where the maximum optical coupling might mostly occur, followed by a fine searching that finds the maximum within the candidate region. The algorithm has been tested on 50 samples of cam-type laser diode modules, and the experimental results are analyzed in terms of aligning time and coupling efficiency.

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웹 검색 결과 시각화 기법의 사용성 평가에 관한 연구 (A Usability Evaluation on the Visualization Techniques of Web Retrieval Results)

  • 김성희;김문정
    • 한국문헌정보학회지
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    • 제41권3호
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    • pp.181-199
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    • 2007
  • 본 연구는 웹 정보로부터 이용자가 원하는 정보를 효율적으로 검색, 도출하기 위한 방안으로 시각화된 기법을 제시하였다. 이용자를 기반으로 한 시각화 기법의 사용성을 평가하기 위해 먼저, 시각화에 대한 개념 및 사용성 평가 요소를 분석한 후 현재 상용화 되고 있는 웹 검색 시각화 시스템인 searchCrystal과 KartOO를 선정해서 사용성을 평가하였다. 그 결과 시각화의특징을 살려서 디자인 된 시스템은 이용자로 하여금 더 친숙하고 효율적인 인터페이스 환경을 제공하는 것으로 나타났다.

A Study on Change in Perception of Community Service and Demand Prediction based on Big Data

  • Chun-Ok, Jang
    • International Journal of Advanced Culture Technology
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    • 제10권4호
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    • pp.230-237
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    • 2022
  • The Community Social Service Investment project started as a state subsidy project in 2007 and has grown very rapidly in quantitative terms in a short period of time. It is a bottom-up project that discovers the welfare needs of people and plans and provides services suitable for them. The purpose of this study is to analyze using big data to determine the social response to local community service investment projects. For this, data was collected and analyzed by crawling with a specific keyword of community service investment project on Google and Naver sites. As for the analysis contents, monthly search volume, related keywords, monthly search volume, search rate by age, and gender search rate were conducted. As a result, 10 items were found as related keywords in Google, and 3 items were found in Naver. The overall results of Google and Naver sites were slightly different, but they increased and decreased at almost the same time. Therefore, it can be seen that the community service investment project continues to attract users' interest.