• Title/Summary/Keyword: cut detection

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Improving Histogram Scene Change Detection Method Using Motion Vector (움직임 벡터를 이용한 히스토그램 장면 전환 검출 기법의 개선)

  • 한영욱;정성일;김성재;이시영;김승호
    • Proceedings of the Korean Information Science Society Conference
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    • 1999.10b
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    • pp.410-412
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    • 1999
  • 히스토그램 장면 전환 검출(histogram scene change detection) 기법은 입력 영상 내에 카메라 동작(camera operation)이 발생한 부분을 컷(cut)으로 나누는 문제점이 있다. 본 논문에서는 이러한 문제점을 해결하기 위해 프레임 사이의 움직임 벡터를 측정하여 카메라 동작이 일어났는지를 판단하고, 이를 이용하여 잘못된 컷의 인식을 막는다. 카메라 동작이 발생하는 샷의 경제는 컷이 될 수 없으므로, 이외의 샷에 대해 컬러 히스토그램 교집합(color histogram intersection)을 구해서 장면 전환 여부를 판단한다. 제안된 기법은 기존의 히스토그램 장면 전환 검출 기법보다 프리시젼(Precision) 면에서 성능 향상을 보였다.

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Determination of epidemiological tetracycline MIC cut-off value for Vibrio ichthyoenteri

  • Han, Hyun-Ja;Kim, Do-Hyung;Lee, Deok-Chan;Won, Kyoung-Mi;Lee, Soon-Jeong;Cho, Mi-Young;Jee, Bo-Young;Kim, Jin-Woo
    • Journal of fish pathology
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    • v.24 no.2
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    • pp.95-102
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    • 2011
  • Normalized resistance interpretation (NRI) analysis for tetracycline was applied to generate information on the epidemiological cut-off value for Vibrio ichthyoenteri isolated from diseased olive flounder (Paralichthys olivaceus) larvae. Thus, 42 strains of V. ichthyoenteri were used to determine minimum inhibitory concentration (MIC) values of tetracycline using Etest. Also, 11 tetracycline resistance related genes were investigated by PCR method. Most tetracycline-resistant strains harbored both tetB and tetM with a few exceptions. NRI-derived mean and 2 SD above the mean of theoretical normal distributions of susceptible isolates were 0.33 mg/L and 1.66 mg/L, respectively. The epidemiological cut-off value for V. ichthyoenteri from the calculations could be set to S ${\leq}$ 2 mg/L. Of the 42 strains, 15 were classified as non-wild type (NWT), and MIC values of the NWT strains vary regardless of tetB and tetM detection, suggesting that there may be other mechanisms involved in tetracycline resistance in this Vibrio species.

The Rapid Detection of Pathogens in Organically Grown Vegetables Using PCR-DGGE (PCR-DGGE를 이용한 유기농 채소의 유해 미생물 신속 검지)

  • Kwon, Oh Yeoun;Son, Seok Min
    • Food Engineering Progress
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    • v.15 no.4
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    • pp.370-375
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    • 2011
  • In this study the polymerase chain reaction (PCR) combined with denaturing gradient gel electrophoresis (DGGE) was evaluated as a method permitting the rapid detection of pathogens in fresh originally grown vegetables. A universal primer (341GCf/534r) was selected for its ability to amplify the V3 region of 16S-rRNA genes in their target pathogens (Salmonella typhimurium, Pseudomonas fluorescens, Bacillus cereus, Listeria monoytogenes, Staphyloocus aureus, E. coli). The 194 bp fragments in PCR were successfully duplicated as expected. The amplified fragments of the same size from six different pathogens also showed good separation upon DGGE. The detection limit of PCR-DGGE for six pathogens in fresh-cut lettuces were over $10^{5}$ CFU/g when sampled by stomaching. However, when the sampling method was changed from stomaching to shaking, the detection limit of six pathogens in organic vegetables was shown to increase by over $10^{1}$ CFU/g, but only those of B. cereus were over $10^{3}$ CFU/g. Therefore, PCR-DGGE was shown to be a reliable method for the detection of pathogens in fresh-cut vegetables.

Road Slide Detection Algorithm Using CCD Camera (CCD 카메라를 이용한 도로 붕괴 사태 검출 알고리즘)

  • Kwon, Young-Man;Shin, Se-Yeon;Park, Young-Jin;Kim, Eun-Soo
    • The Journal of the Institute of Internet, Broadcasting and Communication
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    • v.11 no.2
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    • pp.181-187
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    • 2011
  • In this paper, we proposed the vision-based efficient algorithm for road slide detection like as destruction of road cut slope. The proposed algorithm defines the image region as non surveillance and surveillance which is further divided by road, boundary and non road region. After that, it find the moving block, remember the history of movement using the TTL(Time To Live) table, determine the road slide by checking the existence of moving blocks from non road region to road region together. We confirmed the proposed algorithm detected the road slide effectively through experiments.

A Study on Series Arc Detection Using Band-pass Filters (대역통과필터를 이용한 직렬아크 검출에 관한 연구)

  • Kim, Il-Kwon;Kim, Jin-Su;Park, Keon-Woo;Kim, Kwang-Soon;Kim, Young-Il
    • Proceedings of the KIEE Conference
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    • 2008.07a
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    • pp.1345-1347
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    • 2008
  • This paper described a method of determining whether arcing is present in a low-voltage wiring system. We simulated the series arcing that generated in electrical loads and fabricated a arc detection module which can discriminate between normal and arcing state. The module consists of a high-pass filter with a low cut-off frequency of 3 kHz to attenuate power frequency voltage and an active band-pass filter with a frequency of 4 kHz ${\sim}$ 8 kHz to detect series arc signals only. We tested an Incandescent lamp that was controlled by a dimmer and analysed. The module consists of a high-pass filter with a low cut-off frequency of 3 kHz to attenuate power frequency voltage by 80 dB and an active band-pass filter with a frequency of 4 kHz to detect series arc signals only. From the experimental results, we could detect series arc signals without an influence of non-linear loads.

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Design of Moving Picture Retrieval System using Scene Change Technique (장면 전환 기법을 이용한 동영상 검색 시스템 설계)

  • Kim, Jang-Hui;Kang, Dae-Seong
    • Journal of the Institute of Electronics Engineers of Korea SP
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    • v.44 no.3
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    • pp.8-15
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    • 2007
  • Recently, it is important to process multimedia data efficiently. Especially, in case of retrieval of multimedia information, technique of user interface and retrieval technique are necessary. This paper proposes a new technique which detects cuts effectively in compressed image information by MPEG. A cut is a turning point of scenes. The cut-detection is the basic work and the first-step for video indexing and retrieval. Existing methods have a weak point that they detect wrong cuts according to change of a screen such as fast motion of an object, movement of a camera and a flash. Because they compare between previous frame and present frame. The proposed technique detects shots at first using DC(Direct Current) coefficient of DCT(Discrete Cosine Transform). The database is composed of these detected shots. Features are extracted by HMMD color model and edge histogram descriptor(EHD) among the MPEG-7 visual descriptors. And detections are performed in sequence by the proposed matching technique. Through this experiments, an improved video segmentation system is implemented that it performs more quickly and precisely than existing techniques have.

Hardware Implementation of Moving Picture Retrieval System Using Scene Change Technique (장면 전환 기법을 이용한 동영상 검색 시스템의 하드웨어 구현)

  • Kim, Jang-Hui;Kang, Dae-Seong
    • Journal of the Institute of Electronics Engineers of Korea SP
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    • v.45 no.3
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    • pp.30-36
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    • 2008
  • The multimedia that is characterized by multi-media, multi-features, multi-representations, huge volume, and varieties, is rapidly spreading out due to the increasing of application domains. Thus, it is urgently needed to develop a multimedia information system that can retrieve the needed information rapidly and accurately from the huge amount of multimedia data. For the content-based retrieval of moving picture, picture information is generally used. It is generally used when video is segmented. Through that, it can be a structural video browsing. The tasking that divides video to shot is called video segmentation, and detecting the cut for video segmentation is called cut detection. The goal of this paper is to divide moving picture using HMMD(Hue-Mar-Min-Diff) color model and edge histogram descriptor among the MPEG-7 visual descriptors. HMMD color model is more familiar to human's perception than the other color spaces. Finally, the proposed retrieval system is implemented as hardware.

Fast Scene Change Detection Using Macro Block Information and Spatio-temporal Histogram (매크로 블록 정보와 시공간 히스토그램을 이용한 빠른 장면전환검출)

  • Jin, Ju-Kyong;Cho, Ju-Hee;Jeong, Jae-Hyup;Jeong, Dong-Suk
    • Journal of the Institute of Electronics Engineers of Korea SP
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    • v.48 no.1
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    • pp.141-148
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    • 2011
  • Most of the previous works on scene change detection algorithm focus on the detection of abrupt rather than gradual changes. In general, gradual scene change detection algorithms require heavy computation. Some of those approaches don't consider the error factors such as flashlights, camera or object movements, and special effects. Many scenes change detection algorithms based on the histogram show better performances than other approaches, but they have computation load problem. In this paper, we proposed a scene change detection algorithm with fast and accurate performance using the vertical and horizontal blocked slice images and their macro block informations. We apply graph cut partitioning algorithm for clustering and partitioning of video sequence using generated spatio-temporal histogram. When making spatio-temporal histogram, we only use the central block on vertical and horizontal direction for performance improvement. To detect camera and object movement as well as various special effects accurately, we utilize the motion vector and type information of the macro block.

Serum Biomarkers for Early Detection of Hepatocellular Carcinoma Associated with HCV Infection in Egyptian Patients

  • Zekri, Abdel-Rahman;Youssef, Amira Salah El-Din;Bakr, Yasser Mabrouk;Gabr, Reham Mohamed;El-Rouby, Mahmoud Nour El-Din;Hammad, Ibtisam;Ahmed, Entsar Abd El-Monaem;Marzouk, Hanan Abd El-Haleem;Nabil, Mohammed Mahmoud;Hamed, Hanan Abd El-Hafez;Aly, Yasser Hamada Ahmed;Zachariah, Khaled S.;Esmat, Gamal
    • Asian Pacific Journal of Cancer Prevention
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    • v.16 no.3
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    • pp.1281-1287
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    • 2015
  • Background: Early detection of hepatocellular carcinoma using serological markers with better sensitivity and specificity than alpha fetoprotein (AFP) is needed. Aims: The aim of this study was to evaluate the diagnostic value of serum sICAM-1, ${\beta}$-catenin, IL-8, proteasome and sTNFR-II in early detection of HCC. Materials and Methods: Serum levels of IL-8, sICAM-1, sTNFR-II, proteasome and ${\beta}$-catenin were measured by ELISA assay in 479 serum samples from 192 patients with HCC, 96 patients with liver cirrhosis (LC), 96 patients with chronic hepatitis C (CHC) and 95 healthy controls. Results: Serum levels of proteasome, sICAM-1, ${\beta}$-catenin and ${\alpha}FP$ were significantly elevated in HCC group compared to other groups (P-value<0.001), where serum level of IL-8 was significantly elevated in the LC and HCC groups compared to CHC and control groups (P-value <0.001), while no significant difference was noticed in patients with HCC and LC (P-value=0.09). Serum level of sTNFR-II was significantly elevated in patients with LC compared to HCC, CHC and control groups (P-value <0.001); also it was significantly higher in HCC compared to CHC and control groups (P-value <0.001). ROC curve analysis of the studied markers between HCC and other groups revealed that the serum level of proteasome had sensitivity of 75.9% and specificity of 73.4% at a cut-off value of $0.32{\mu}g/ml$ with AUC 0.803 sICAM-1 at cut off value of 778ng/ml, the sensitivity was 75.8% and the specificity was 71.8% with AUC 0.776. ${\beta}$-catenin had sensitivity and specificity of 70% and 68.6% respectively at a cut off value of 8.75ng/ml with an AUC of 0.729. sTNFR-II showed sensitivity of 86.3% and specificity of 51.8% at a cut off value of 6239.5pg/ml with an AUC of 0.722. IL-8 had sensitivity of 70.4% and specificity of 52.3% at a cut off value of 51.5pg/ml with AUC 0.631. Conclusions: Our data supported the role of proteasome, sICAM-1, sTNFR-II and ${\beta}$-catenin in early detection of HCC. Also, using this panel of serological markers in combination with ${\alpha}FP$ may offer improved diagnostic performance over ${\alpha}FP$ alone in the early detection of HCC.