• Title/Summary/Keyword: Sequence Matching

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A Design of Matching Engine for a Practical Query-by-Singing/Humming System with Polyphonic Recordings

  • Lee, Seok-Pil;Yoo, Hoon;Jang, Dalwon
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.8 no.2
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    • pp.723-736
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    • 2014
  • This paper proposes a matching engine for a query-by-singing/humming (QbSH) system with polyphonic music files like MP3 files. The pitch sequences extracted from polyphonic recordings may be distorted. So we use chroma-scale representation, pre-processing, compensation, and asymmetric dynamic time warping to reduce the influence of the distortions. From the experiment with 28 hour music DB, the performance of our QbSH system based on polyphonic database is very promising in comparison with the published QbSH system based on monophonic database. It shows 0.725 in MRR(Mean Reciprocal Rank). Our matching engine can be used for the QbSH system based on MIDI DB also and that performance was verified by MIREX 2011.

A Study on Word Recognition Using Neural-Fuzzy Pattern Matching (뉴럴-퍼지패턴매칭에 의한 단어인식에 관한 연구)

  • 이기영;최갑석
    • Journal of the Korean Institute of Telematics and Electronics B
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    • v.29B no.11
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    • pp.130-137
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    • 1992
  • This paper presents the word recognition method using a neural-fuzzy pattern matching, in order to make a proper speech pattern for a spectrum sequence and to improve a recognition rate. In this method, a frequency variation is reduced by generating binary spectrum patterns through associative memory using a neural network, and a time variation is decreased by measuring the simillarity using a fuzzy pattern matching. For this method using binary spectrum patterns and logic algebraic operations to measure the simillarity, memory capacity and computation requirements are far less than those of DTW using a conventional distortion measure. To show the validity of the recognition performance for this method, word recognition experiments are carried out using 28 DDD city names and compared with DTW and a fuzzy pattern matching. The results show that our presented method is more excellent in the recognition performance than the other methods.

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The variable-sized block matching motion estimation using quadtree (Quadtree를 이용한 가변 block 움직임 추정)

  • 이원희;김상기;김재영;정진현
    • 제어로봇시스템학회:학술대회논문집
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    • 1996.10b
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    • pp.20-23
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    • 1996
  • The block matching algorithm for the motion estimation is relatively simple to implement, and thus widely applied in image sequence coding such as H.261, MPEG- I and MPEG-2. Most techniques of the block matching method use fixed-size blocks for the motion estimation. And their success relies on the assumption that the motion within each block is uniform. But if the block size is increased to reduce the number of motion vectors for high data compression, the estimated image brings about many errors. In this paper, the variable-sized blocks are used to solve this problem. And the top down method is used to select the block size.

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AN OBJECT TRACKING METHOD USING ADAPTIVE TEMPLATE UPDATE IN IR IMAGE SEQUENCE

  • Heo, Pyeong-Gang;Lee, Hyung-Tae;Suk, Jung-Youp;Jin, Sang-Hun;Park, Hyun-Wook
    • Proceedings of the Korean Society of Broadcast Engineers Conference
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    • 2009.01a
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    • pp.174-177
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    • 2009
  • In object tracking, the template matching methods have been developed and frequently used. It is fast enough, but not robust to an object with the variation of size and shape. In order to overcome the limitation of the template matching method, this paper proposes a template update technique. After finding an object position using the correlation-based adaptive predictive search, the proposed method selects blocks which contain object's boundary. It estimates the motion of boundary using block matching, and then updates template. We applied it to IR image sequences including an approaching object. From the experimental results, the proposed method showed successful performance to track object.

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Distance Measurement Using a Single Camera with a Rotating Mirror

  • Kim Hyongsuk;Lin Chun-Shin;Song Jaehong;Chae Heesung
    • International Journal of Control, Automation, and Systems
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    • v.3 no.4
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    • pp.542-551
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    • 2005
  • A new distance measurement method with the use of a single camera and a rotating mirror is presented. A camera in front of a rotating mirror acquires a sequence of reflected images, from which distance information is extracted. The distance measurement is based on the idea that the corresponding pixel of an object point at a longer distance moves at a higher speed in a sequence of images in this type of system setting. Distance measurement based on such pixel movement is investigated. Like many other image-based techniques, this presented technique requires matching corresponding points in two images. To alleviate such difficulty, two kinds of techniques of image tracking through the sequence of images and the utilization of multiple sets of image frames are described. Precision improvement is possible and is one attractive merit. The presented approach with a rotating mirror is especially suitable for such multiple measurements. The imprecision caused by the physical limit could be improved through making several measurements and taking an average. In this paper, mathematics necessary for implementing the technique is derived and presented. Also, the error sensitivities of related parameters are analyzed. Experimental results using the real camera-mirror setup are reported.

Error Correction of Interested Points Tracking for Improving Registration Accuracy of Aerial Image Sequences (항공연속영상 등록 정확도 향상을 위한 특징점추적 오류검정)

  • Sukhee, Ochirbat;Yoo, Hwan-Hee
    • Journal of Korean Society for Geospatial Information Science
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    • v.18 no.2
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    • pp.93-97
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    • 2010
  • This paper presents the improved KLT(Kanade-Lucas-Tomasi) of registration of Image sequence captured by camera mounted on unmanned helicopter assuming without camera attitude information. It consists of following procedures for the proposed image registration. The initial interested points are detected by characteristic curve matching via dynamic programming which has been used for detecting and tracking corner points thorough image sequence. Outliers of tracked points are then removed by using Random Sample And Consensus(RANSAC) robust estimation and all remained corner points are classified as inliers by homography algorithm. The rectified images are then resampled by bilinear interpolation. Experiment shows that our method can make the suitable registration of image sequence with large motion.

Bioinformatics Approach to Direct Target Prediction for RNAi Function and Non-specific Cosuppression in Caenorhabditis elegans (생물정보학적 접근을 통한 Caenorhabditis elegans 모델시스템의 생체내 RNAi 기능예측 및 비특이적 공동발현억제 현상 분석)

  • Kim, Tae-Ho;Kim, Eui-Yong;Joo, Hyun
    • KSBB Journal
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    • v.26 no.2
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    • pp.131-138
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    • 2011
  • Some computational approaches are needed for clarifying RNAi sequences, because it takes much time and endeavor that almost of RNAi sequences are verified by experimental data. Incorrectness of RNAi mechanism and other unaware factors in organism system are frequently faced with questions regarding potential use of RNAi as therapeutic applications. Our massive parallelized pair alignment scoring between dsRNA in Genebank and expressed sequence tags (ESTs) in Caenorhabditis elegans Genome Sequencing Projects revealed that this provides a useful tool for the prediction of RNAi induced cosuppression details for practical use. This pair alignment scoring method using high performance computing exhibited some possibility that numerous unwanted gene silencing and cosuppression exist even at high matching scores each other. The classifying the relative higher matching score of them based on GO (Gene Ontology) system could present mapping dsRNA of C. elegans and functional roles in an applied system. Our prediction also exhibited that more than 78% of the predicted co-suppressible genes are located in the ribosomal spot of C. elegans.

Thai Classical Music Matching Using t-Distribution on Instantaneous Robust Algorithm for Pitch Tracking Framework

  • Boonmatham, Pheerasut;Pongpinigpinyo, Sunee;Soonklang, Tasanawan
    • Journal of Information Processing Systems
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    • v.13 no.5
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    • pp.1213-1228
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    • 2017
  • The pitch tracking of music has been researched for several decades. Several possible improvements are available for creating a good t-distribution, using the instantaneous robust algorithm for pitch tracking framework to perfectly detect pitch. This article shows how to detect the pitch of music utilizing an improved detection method which applies a statistical method; this approach uses a pitch track, or a sequence of frequency bin numbers. This sequence is used to create an index that offers useful features for comparing similar songs. The pitch frequency spectrum is extracted using a modified instantaneous robust algorithm for pitch tracking (IRAPT) as a base combined with the statistical method. The pitch detection algorithm was implemented, and the percentage of performance matching in Thai classical music was assessed in order to test the accuracy of the algorithm. We used the longest common subsequence to compare the similarities in pitch sequence alignments in the music. The experimental results of this research show that the accuracy of retrieval of Thai classical music using the t-distribution of instantaneous robust algorithm for pitch tracking (t-IRAPT) is 99.01%, and is in the top five ranking, with the shortest query sample being five seconds long.

A Java Birthmark based on Control Flow Graph Matching (제어 흐름 그래프 매칭 기반 자바 버스마크)

  • Park, Hee-Wan;Lim, Hyun-Il;Choi, Seok-Woo;Han, Tai-Sook
    • Journal of KIISE:Computing Practices and Letters
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    • v.15 no.11
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    • pp.871-875
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    • 2009
  • A software birthmark is inherent characteristics that can be used to identify a program. In this paper, we propose a new Java birthmark based on control flow graph (CFG) matching. The CFG matching consists of node matching and edge matching. To get similarities of nodes and edges of two CFGs, we apply a sequence alignment algorithm and a shortest path algorithm, respectively. To evaluate the proposed birthmark, we perform experiments on Java programs that implement various algorithms. In the experiments, the proposed birthmark shows not only high credibility and resilience but also fast runtime performance.

Development of an Integer Algorithm for Computation of the Matching Probability in the Hidden Markov Model (I) (은닉마르코브 모델의 부합확률연산의 정수화 알고리즘 개발 (I))

  • 김진헌;김민기;박귀태
    • Journal of the Korean Institute of Telematics and Electronics B
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    • v.31B no.8
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    • pp.11-19
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    • 1994
  • The matching probability P(ο/$\lambda$), of the signal sequence(ο) observed for a finite time interval with a HMM (Hidden Markov Model $\lambda$) indicates the probability that signal comes from the given model. By utilizing the fact that the probability represents matching score of the observed signal with the model we can recognize an unknown signal pattern by comparing the magnitudes of the matching probabilities with respect to the known models. Because the algorithm however uses floating point variables during the computing process hardware implementation of the algorithm requires floating point units. This paper proposes an integer algorithm which uses positive integer numbers rather than float point ones to compute the matching probability so that we can economically realize the algorithm into hardware. The algorithm makes the model parameters integer numbers by multiplying positive constants and prevents from divergence of data through the normalization of variables at each step. The final equation of matching probability is composed of constant terms and a variable term which contains logarithm operations. A scheme to make the log conversion table smaller is also presented. To analyze the qualitive characteristics of the proposed algorithm we attatch simulation result performed on two groups of 10 hypothetic models respectively and inspect the statistical properties with repect to the model order the magnitude of scaling constants and the effect of the observation length.

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