• Title/Summary/Keyword: Similarity Measurement

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The Similarity Measurement of Interior Design Images - Comparison between Measurement based on Perceptual Judgment and Measurement through Computing the Algorithm - (실내디자인 이미지의 유사성 측정 - 관찰자 직관 기반 측정법과 알고리즘 기반 정량적 측정법의 결과 비교를 중심으로 -)

  • Ryu, Hojeong;Ha, Mikyoung
    • Korean Institute of Interior Design Journal
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    • v.24 no.2
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    • pp.32-41
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    • 2015
  • We live in the era of unlimited design competition. As the importance of design is increasing in all areas including marketing, each country does its best effort on design development. However, the preparation on protecting interior design rights by intellectual property laws(IPLs) has not been enough even though they occupy an important place in the design field. It is not quite easy to make a judgement on the similarity between two images having a single common factor because the factors which are composed of interior design have complicated interactive relations between them. From the IPLs point of view, designs with the similar overall appearance are decided to be similar. Objective evaluation criteria not only for designers but also for design examiners and judges are required in order to protect interior design by the IPLs. The objective of this study is the analysis of the possibility that a computer algorithm method can be useful to decide the similarity of interior design images. According to this study, it is realized that the Img2 which is one of content-based image retrieval computer programs can be utilized to measure the degree of the similarity. The simulation results of three descriptors(CEDD, FCTH, JCD) in the Img2 showed the high degree of similar patterns compared with the results of perceptual judgment by observers. In particular, it was verified that the Img2 has high availability on interior design images with a high score of similarity below 60 which are perceptually judged by observers.

Similarity Measurement Using Open-Ball Scheme for 2D Patterns in Comparison with Moment Invariant Method (Open-Ball Scheme을 이용한 2D 패턴의 상대적 닮음 정도 측정의 Moment Invariant Method와의 비교)

  • Kim, Seong-Su
    • The Transactions of the Korean Institute of Electrical Engineers A
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    • v.48 no.1
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    • pp.76-81
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    • 1999
  • The degree of relative similarity between 2D patterns is obtained using Open-Ball Scheme. Open-Ball Scheme employs a method of transforming the geometrical information on 3D objects or 2D patterns into the features to measure the relative similarity for object(patten) recognition, with invariance on scale, rotation, and translation. The feature of an object is used to obtain the relative similarity and mapped into [0, 1] the interval of real line. For decades, Moment-Invariant Method has been used as one of the excellent methods for pattern classification and object recognition. Open-Ball Scheme uses the geometrical structure of patterns while Moment Invariant Method uses the statistical characteristics. Open-Ball Scheme is compared to Moment Invariant Method with respect to the way that it interprets two-dimensional patten classification, especially the paradigms are compared by the degree of closeness to human's intuitive understanding. Finally the effectiveness of the proposed Open-Ball Scheme is illustrated through simulations.

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An Image Segmentation Method and Similarity Measurement Using fuzzy Algorithm for Object Recognition (물체인식을 위한 영상분할 기법과 퍼지 알고리듬을 이용한 유사도 측정)

  • Kim, Dong-Gi;Lee, Seong-Gyu;Lee, Moon-Wook;Kang, E-Sok
    • Transactions of the Korean Society of Mechanical Engineers A
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    • v.28 no.2
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    • pp.125-132
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    • 2004
  • In this paper, we propose a new two-stage segmentation method for the effective object recognition which uses region-growing algorithm and k-means clustering method. At first, an image is segmented into many small regions via region growing algorithm. And then the segmented small regions are merged in several regions so that the regions of an object may be included in the same region using typical k-means clustering method. This paper also establishes similarity measurement which is useful for object recognition in an image. Similarity is measured by fuzzy system whose input variables are compactness, magnitude of biasness and orientation of biasness of the object image, which are geometrical features of the object. To verify the effectiveness of the proposed two-stage segmentation method and similarity measurement, experiments for object recognition were made and the results show that they are applicable to object recognition under normal circumstance as well as under abnormal circumstance of being.

Efficient Similarity Measurement Technique of Windows Software using Dynamic Birthmark based on API (API 기반 동적 버스마크를 이용한 윈도우용 소프트웨어의 효율적인 유사도 측정 기법)

  • Park, Daeshin;Jie, Hyunho;Park, Youngsu;Hong, JiMan
    • Smart Media Journal
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    • v.4 no.2
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    • pp.34-45
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    • 2015
  • The illegal copy of Windows software is one of the problems, because Windows is the most popular operating system in the country. The illegal copy can be infringe a software copyright, and software birthmark is one of solutions which is protecting software copyright. Software birthmark is a technique to distinguish software piracy using feature information from software. The type of software birthmark can be differentiated between static birthmark and dynamic birthmark through an extraction method. Static birthmark and dynamic birthmark have strengths and weaknesses. In this paper, we propose similarity measurement technique using dynamic birthmark based on API, and we explain extraction process of dynamic birthmark. In addition, we have verified that the proposed similarity measurement technique meet resilience and credibility through experiment. Furthermore, we saw that proposed measurement technique better than existing measurement technique.

Similarity Measurement of Part Specifications based on Ontology and ELECTRE IS (온톨로지와 ELECTRE IS을 활용한 사양 기반 부품 유사도 측정 방법)

  • Mun, Du-Hwan;Hwang, Ho-Jin
    • Korean Journal of Computational Design and Engineering
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    • v.15 no.2
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    • pp.144-156
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    • 2010
  • When existing parts are re-used for the development of a new product or business-to-business transactions, a method for searching parts from a part database that meets user's requirements is necessary. To this end, it is important to develop a part search method which is able to measure similarity between parts and user's input data with generality as well as robustness. In this paper, the authors suggest a method for measuring part similarity using ontology and multi-criteria decision making method and address its technical details. The proposed method ensures the interoperability with existing engineering information management systems, represents part specifications systematically, and has generality in the procedure for comparing part specifications. The case study for ejector pins having been conducted to demonstrate the proposed method is also discussed.

Similarity Measurement using Gabor Energy Feature and Mutual Information for Image Registration

  • Ye, Chul-Soo
    • Korean Journal of Remote Sensing
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    • v.27 no.6
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    • pp.693-701
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    • 2011
  • Image registration is an essential process to analyze the time series of satellite images for the purpose of image fusion and change detection. The Mutual Information (MI) is commonly used as similarity measure for image registration because of its robustness to noise. Due to the radiometric differences, it is not easy to apply MI to multi-temporal satellite images using directly the pixel intensity. Image features for MI are more abundantly obtained by employing a Gabor filter which varies adaptively with the filter characteristics such as filter size, frequency and orientation for each pixel. In this paper we employed Bidirectional Gabor Filter Energy (BGFE) defined by Gabor filter features and applied the BGFE to similarity measure calculation as an image feature for MI. The experiment results show that the proposed method is more robust than the conventional MI method combined with intensity or gradient magnitude.

A Similarity Measurement and Visualization Method for the Analysis of Program Code (프로그램 코드 분석을 위한 유사도 측정 및 가시화 기법)

  • Lee, Youngjoo;Lee, Jeongjin
    • Journal of Korea Multimedia Society
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    • v.16 no.7
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    • pp.802-809
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    • 2013
  • In this paper, we propose the similarity measurement method between two program codes by counting the frequency and length of continuous patterns of specifiers and keywords, which exist in two program codes. In addition, we propose the visualization method of this analysis result by formal concept analysis. Proposed method considers adjacencies of specifiers or keywords, which have not been considered in the previous similarity measurements. Proposed method can detect the plagiarism by analyzing the pattern in each function regardless of the order of function call and execution. In addition, the result of the similarity measurement is visualized by the lattice of formal concept analysis to increase the user understanding about the relations between program codes. Experimental results showed that proposed method succeeded in 96% plagiarism detections. Our method could be applied into the analysis of general documents.

Study on a Measurement of Disclosure Risk of Microdata by Similarity

  • Cho, Hyeon-Kwan;Kwon, Dae-Hong;Lee, Suk-Hoon
    • The Korean Journal of Applied Statistics
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    • v.25 no.5
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    • pp.743-755
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    • 2012
  • Researchers using various of statistical data want to obtain microdata for a detailed analysis. Institutes need to provide microdata after masking processes for sensitive data. Many researchers have used the proportion of unique identity for the measurement of disclosure risk. We proposed a new measurement of disclosure risk that considers the case that all identities are the same or similar. As an application example, we compare the newly proposed measurement and the existing measurement using 10667 data in 'Korea Household Income and Expenditure Survey data for 2010'.

Similarity Measurement Method of Trajectory using Indexing Information of Moving Object in Video (비디오 내 이동 객체의 색인 정보를 이용한 궤적 유사도 측정 기법)

  • Kim, Jeong In;Choi, Chang;Kim, Pan Koo
    • Smart Media Journal
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    • v.1 no.3
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    • pp.43-47
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    • 2012
  • The recent proliferation of multimedia data necessitates the effectively and efficiently retrieving of multimedia data. These research not only focus on the retrieving methods of text matching but also on using the multimedia data features. Therefore, this paper is a similarity measurement method of trajectory using indexing information of moving object in video, for similarity measurement. This method consists of 2 steps. Firstly, Video data is processed indexing for trajectory extraction of moving objects using CCTV. Finally, we describe to compare DTW(Dynamic Time Warping) to TSR(Tansent Space Representation) algorithm.

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Measurement of Rhythmic Similarity for Auditory Memory Game (청각 기억 게임을 위한 리듬 유사도 측정 기술)

  • Kim, Ju-Wan;Lee, Se-Won;Park, Ho-Chong
    • The Journal of the Acoustical Society of Korea
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    • v.30 no.3
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    • pp.136-141
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    • 2011
  • In this paper, a method for measuring rhythmic similarity between two sound signals for auditory memory game is proposed. The proposed method analyzes energy fluctuation, the temporal duration of energy peak, the timbre of two signals, and detects beat positions for each signal. Then, it determines the rhythm vector after compensating a difference in tempo and the number of beats between two signals. Finally, a method for rhythmic similarity measurement is defined as a function of the dissimilarity between two rhythm vectors and a difference in the number of beats. The rhythmic similarity measured by the proposed method and that by the subjective listening test are compared, and the correlation of 0.86 between two results is achieved.