• Title/Summary/Keyword: SP 기법

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Signature Extraction Method from H.264 Compressed Video (H.264/AVC로 압축된 비디오로부터 시그너쳐 추출방법)

  • Kim, Sung-Min;Kwon, Yong-Kwang;Won, Chee-Sun
    • Journal of the Institute of Electronics Engineers of Korea SP
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    • v.46 no.3
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    • pp.10-17
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    • 2009
  • This paper proposes a compressed domain signature extraction method which can be used for CBCD (Content Based Copy Detection). Since existing signature extraction methods for the CBCD are executed in spatial domain, they need additional computations to decode the compressed video before the signature extraction. To avoid this overhead, we generate a thumbnail image directly from the compressed video without full decoding. Then we can extract the video signature from the thumbnail image. Experimental results of extracting brightness ordering information as the signature for CBCD show that our proposed method is 2.8 times faster than the spatial domain method while maintaining 80.98% accuracy.

A VLSI Efficient Design and Implementation of EBCOT for JPEG2000 (JPEG2000을 위한 효율적인 EBCOT의 VLSI 설계 및 구현)

  • Yang, Sang-Hoon;Yoo, Hyuck-Min;Park, Dong-Sun;Yoon, Sook
    • Journal of the Institute of Electronics Engineers of Korea SP
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    • v.46 no.3
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    • pp.37-43
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    • 2009
  • The new still image compression standard JPEG2000 is consisted of DWT and EBCOT. In this paper, proposed and designed new algorithm in efficient EBCOT. BPC based on the contort. Proposed BPC Algorithm is forecasted coding pass using Sigstage, column, mpass value. BAC design apply 4-pipeline stage. EBCOT designed using Verilog HDL. Verification and Synthesis using Xillinx FPGA technology.

저질내의 와편모조류 휴면포자 계수방법 비교 연구

  • 박기홍;김창훈
    • Proceedings of the Korean Aquaculture Society Conference
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    • 2003.10a
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    • pp.129-129
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    • 2003
  • 해양저질에서 휴면포자의 분포와 분포량에 대한 조사는 미래의 와편모조류 적조발생 시기나 장소를 예측할 수 있게 한다. 그러므로 저질내의 휴면포자를 찾고 분리하는 기술이 기본적으로 수행되어야 하며 지금까지 여러 방법이 개발되어 왔다. 이 연구의 목적은 기존의 휴면포자 계수방법들을 비교함으로써 연구의 효율을 제고 하고자 하는데 있다. 이 실험에서는 새만금 해역의 동일정점 저질내에 존재하는 휴면포자를 형광 염색하여 계수하는 Primuline 염색법, 해수, 휴면포자, sodium polytungstate의 비중차이를 이용하여 밀도구배원심법으로 분리하는 방법, 그리고 10% HCl로 탄산질을 제거하고 47% HF로 규산질을 제거한 뒤 휴면포자를 계수하는 고전적 계수방법 (palynological technique)을 사용하여 저질 내의 휴면포자를 분리 비교하였다. Primuline 염색법을 이용하였을 경우 Alexandrium famarense/catenella complex, Alexandrium sp. (spherical), Gonyaulax verior, Gonyaulax scrippsea, Gonyaulax spinifera complex등의 일부 종만 염색되어 관찰되었다. sodium polytungstate를 비중 1.3 g$cm^{-3}$으로 조정한 후 휴면포자를 분리한 밀도구배 원심법은 생물에 거의 무해한 것으로 알려져 있어서 발아가 가능해 휴면포자와 영양세포간의 관계를 규명할 수 있다는 장점이 있으나 계수에 있어서는 재현성이 떨어졌다. 반면 Palynological technique은 발아는 되지 않지만 석회질 벽을 가지는 휴면포자를 제외한 대부분의 종들이 관찰되었다. 이 결과는 실험 목적별로 휴면포자 계수방법을 달리 할 수 있음을 보여준다. 즉 발아실험을 할 경우에는 밀도구배원심법을, Alexandrium과 같은 특정종의 계수목적시에는 Primuline 염색법을, 정점 내 정확한 종 분포 파악을 위해서는 palynological technique을 사용하는 것이 효과적일 수 있다. 하지만 종분포 파악시에는 시간이 많이 소요되므로 좀더 신속하고 정확한 실험을 위해 분자생물학적인 기법들이 요구된다.

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Noise Suppression Method for Restoring Line Spectrum Pair (선스펙트럼 쌍의 복원에 의한 잡음억제 기법)

  • Choi, Jae-Seung
    • Journal of the Institute of Electronics Engineers of Korea SP
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    • v.47 no.4
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    • pp.112-118
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    • 2010
  • This paper describes a noise suppression system based on a normalization method using a time-delay neural network and line spectrum pair having a parameter of frequency domain. First, a time-delay neural network is trained using line spectrum pair values of noisy speech signals obtained by linear prediction analysis. After trained the time-delay neural network, the proposed system enhances speech signals that are degraded by a background noise. Accordingly, the proposed time-delay neural network restores from the line spectrum pair values of noisy speech signals to the line spectrum pair values of clean speech signals. It is confirmed that this system is effective for speech signals degraded by a background noise, judging from spectral distortion measurement.

Face Detection Using Support Vector Domain Description in Color Images (컬러 영상에서 Support Vector Domain Description을 이용한 얼굴 검출)

  • Seo Jin;Ko Hanseok
    • Journal of the Institute of Electronics Engineers of Korea SP
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    • v.42 no.1
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    • pp.25-31
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    • 2005
  • In this paper, we present a face detection system using the Support Vector Domain Description (SVDD) in color images. Conventional face detection algorithms require a training procedure using both face and non-face images. In SVDD however we employ only face images for training. We can detect faces in color images from the radius and center pairs of SVDD. We also use Entropic Threshold for extracting the facial feature and sliding window for improved performance while saving processing time. The experimental results indicate the effectiveness and efficiency of the proposed algorithm compared to conventional PCA (Principal Component Analysis)-based methods.

On-line signature verification method using Gabor filter (Gabor 필터를 이용한 온라인 서명 검증 기법)

  • 이종현;김성훈;김재희
    • Journal of the Institute of Electronics Engineers of Korea SP
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    • v.41 no.3
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    • pp.129-137
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    • 2004
  • This paper presents a signature verification method that uses Gabor filter in computing similarity between signatures. In computing similarity to compare two on-line signatures, the temporal relationship between two signatures should be computed in advance. However, conventional point matching method using DP(dynamic programming) matching consumes much computation. In this paper, we propose a fast method for computing the temporal relationship between two on-line signatures by using the phase output of Gabor Inter applied on the on-line signature signals. Two similarity measures are defined in the method: Temporal Similarity and Temporally Arranged Feature Profile Similarity. With the proposed method, Ive could compare signatures 30 times faster than conventional method using DP matching.

A Block-based Motion Detection Algorithm with Adaptive Thresholds for Digital Video Surveillance Systems (적응적으로 임계값을 결정하는 블럭 기반의 디지털 감시 시스템용 움직임 검출 알고리즘)

  • Yang, Yun-Seok;Lee, Dong-Ho
    • Journal of the Institute of Electronics Engineers of Korea SP
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    • v.37 no.5
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    • pp.31-41
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    • 2000
  • This paper proposes a block-based motion detection algorithm for digital video surveillance system which adaptively decides the threshold according to the kinds of images We first compute the features of a block after dividing each Image into small sub-block regions, and analyze performance of the motion detection algorithm based on statistic features by using the proposed threshold-decision method. Motion vectors are used to analyze motion degree and adaptively determine the threshold The simulation results show the performances of motion detection algorithms according to sub-block size, statistic features, noise, and threshold.

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Laser Speckle Imaging Using Laser Speckle Endoscope (레이저 스펙클 내시경을 이용한 미세혈관 영상화 기법)

  • Jin, Ho-Young;Shin, Hyun-Chool
    • Journal of the Institute of Electronics Engineers of Korea SP
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    • v.47 no.6
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    • pp.91-96
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    • 2010
  • A laser speckle is a random pattern that has a granular appearance produced by reflected light when a coherent laser illuminates an irregular course surface. Laser speckle system has many advantages. It can detect some animals functional parts. Moreover, it relatively consists of simple and in-expensive system. It is very important that detecting micro-vessels through image processed image. Current study is to improve image quality through variable image processing method. But this paper made laser speckle endoscope for miniaturization and commercialization laser speckle system. We had endoscope test through goldfish's tail. We will compare the processed speckle image and halogen image.

A Study of ATM filter for Resolving the Over Segmentation in Image Segmentation of Region-based method (영역기반 방법의 영상 분할에서 과분할 방지를 위한 Adaptive Trimmed Mean 필터에 관한 연구)

  • Lee, Wan-Bum
    • Journal of the Institute of Electronics Engineers of Korea SP
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    • v.44 no.3
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    • pp.42-47
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    • 2007
  • Video Segmentation is an essential part in region-based video coding and any other fields of the video processing. Among lots of methods proposed so far, the watershed method in which the region growing is performed for the gradient image can produce well-partitioned regions globally without any influence on local noise and extracts accurate boundaries. But, it generates a great number of small regions, which we call over segmentation problem. Therefore we proposes that adaptive trimmed mean filter for resolving the over segmentation of image. Simulation result, we confirm that proposed ATM filter improves the performance to remove noise and reduces damage for the clear degree of image in case of the noise ratio of 20% and over.

Estimating Price Elasticities of Domestic Air Transport Demand by Stated Preference Technique (Staled Preference 방법론에 의한 국내선 항공수요의 가격탄력성 추정)

  • 이성원;이영혁;박지형
    • Journal of Korean Society of Transportation
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    • v.18 no.1
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    • pp.27-34
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    • 2000
  • This study analyzes the price elasticities of airline Passenger demand through the 'Stated Preference' technique which uses survey data. Because the domestic airfare has been regulated by the government. it is not easy to derive Price elasticity through the usual regression analysis with aggregate data and thus a special methodology is required for elasticity estimation. Therefore, in this study we estimated the Price elasticities of domestic air passenger demand and the modal share change rates to the alternative modes with logit model and sample enumeration method, by analyzing the survey data on air Passengers' demand behavior about the mode choice between air-rail. air-bus, and air-car. As the results, the estimated price elasticities are in the range of -0.6~-0.9, and rail is mainly chosen as an alternative mode. bus is chosen Partly, and car is barely used.

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