• Title, Summary, Keyword: Mask Video

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A Case of Successful Use of C-MAC® Video Laryngoscope in 'Cannot Ventilate' Situation Due to Unexpected Severe Narrowing of Laryngeal Inlet (예기치 못한 후두 입구 협착으로 인한 환기 부전 상황에서의 비디오 후두경의 유용성 1예)

  • Moon, Jeong Hwan;Lee, Sun Hong;Kang, Bong Jin
    • Journal of the Korean Society of Laryngology, Phoniatrics and Logopedics
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    • v.27 no.2
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    • pp.122-125
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    • 2016
  • Although many factors associated with difficult intubation have been known, predictors of difficult mask ventilation are not well known. We experienced a case of nearly complete airway obstruction following usual anesthetic induction which needed various emergency treatments. The patient had a preoperative diagnosis of contact granuloma of right posterior vocal cord and bilateral vocal cord palsy but later was found out as invasive laryngeal cancer. Upon the surgical field of view, both vocal cords were showing significantly thickened and fixated appearance and was considered as in the critical narrowing state with the potential of complete obstruction. Using $C-MAC^{(R)}$ video laryngoscope we were able to see the narrowed vocal cord and choose proper size of endo-tracheal tube. Consequently, intubation was successfully done and operation was conducted. From this case, we have lessons that physicians should examine the patient's airway more carefully in case of laryngeal mass and prepare emergency measures.

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An Effective Moving Cast Shadow Removal in Gray Level Video for Intelligent Visual Surveillance (지능 영상 감시를 위한 흑백 영상 데이터에서의 효과적인 이동 투영 음영 제거)

  • Nguyen, Thanh Binh;Chung, Sun-Tae;Cho, Seongwon
    • Journal of Korea Multimedia Society
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    • v.17 no.4
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    • pp.420-432
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    • 2014
  • In detection of moving objects from video sequences, an essential process for intelligent visual surveillance, the cast shadows accompanying moving objects are different from background so that they may be easily extracted as foreground object blobs, which causes errors in localization, segmentation, tracking and classification of objects. Most of the previous research results about moving cast shadow detection and removal usually utilize color information about objects and scenes. In this paper, we proposes a novel cast shadow removal method of moving objects in gray level video data for visual surveillance application. The proposed method utilizes observations about edge patterns in the shadow region in the current frame and the corresponding region in the background scene, and applies Laplacian edge detector to the blob regions in the current frame and the corresponding regions in the background scene. Then, the product of the outcomes of application determines moving object blob pixels from the blob pixels in the foreground mask. The minimal rectangle regions containing all blob pixles classified as moving object pixels are extracted. The proposed method is simple but turns out practically very effective for Adative Gaussian Mixture Model-based object detection of intelligent visual surveillance applications, which is verified through experiments.

The Improved Deblocking Algorithm for Low-bit Rate H.264/AVC (Low-bit Rate H.264/AVC 비디오에 적합한 개선된 디블럭킹 알고리즘)

  • Kwon, Dong-Jin;Kwak, Nae-Joung;Ryu, Sung-Pil
    • Proceedings of the Korea Contents Association Conference
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    • pp.499-502
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    • 2006
  • H.264/MPEG4 Advanced Video coding joint standard needs deblocking filter of decoder. We propose a better deblocking algorithm ensuring picture quality even if it is low bit-rate and bandwidth in MPEG-4 video. The complexity diminishes in proposed deblocking algorithm because it uses only simple shift, addition and comparison. We handle dividing into complexity area, medium area and simple area after counting boundary intensity of mask block to identify presence of block effects. As a result of experiment, we make certain of that block effects reduces in proposed deblocking algorithm.

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3-DTIP: 3-D Stereoscopic Tour-Into-Picture Based on Depth Map (3-DTIP: 깊이 데이터 기반 3차원 입체 TIP)

  • Jo, Cheol-Yong;Kim, Je-Dong;Jeong, Da-Un;Gil, Jong-In;Lee, Kwang-Hoon;Kim, Man-Bae
    • Proceedings of the IEEK Conference
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    • pp.28-30
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    • 2009
  • This paper describes a 3-DTIP(3-D Tour Into Picture) using depth map for a Korean classical painting being composed of persons and landscape. Unlike conventional TIP methods providing 2-D image or video, our proposed TIP can provide users with 3-D stereoscopic contents. Navigating inside a picture provides more realistic and immersive perception. The method firstly makes depth map. Input data consists of foreground object, background image, depth map, foreground mask. Firstly we separate foreground object and background, make each of their depth map. Background is decomposed into polygons and assigned depth value to each vertexes. Then a polygon is decomposed into many triangles. Gouraud shading is used to make a final depth map. Navigating into a picture uses OpenGL library. Our proposed method was tested on "Danopungjun" and "Muyigido" that are famous paintings made in Chosun Dynasty. The stereoscopic video was proved to deliver new 3-D perception better than 2-D video.

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A Study on an Image Noise Erase Method By to be an Image Noise Frequent Occur for Raining, in Measurement Machine Vision System for using CCD Camera Of Pantograph Sliding Plate Abrasion (판타그라프 습판마모의 머신비젼 측정에서 우천시 발생하는 영상의 노이즈 제거방법에 관한 연구)

  • Lee, Seong-Gwon;Lee, Dae-Won;Kim, Gil-Dong;Oh, Sang-Yoon;Kim, Seong-Min
    • Proceedings of the KSR Conference
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    • pp.872-898
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    • 2007
  • Pantograph sliding plate abrasion auto-detect system, one of the electric rail car auto-detecting devices, is a system that decides how much abrasion and when to replace without an inspector physically looking at the abrasion on the wet plate using machine vision, a cutting-edge technology. This paper covers the cause of deteriorating reliability that affects pantograph wet plate edge detection due to noise added to the video when it rains. In order to remove such noise, problems should be checked through Smoothing, Averaging mask and Median filter using filtering technique and stable edge detection without being affected by noise should be induced in video measurement used in machine vision technology.

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Object Store Method for Interactive Multimedia Broadcasting (대화형 멀티미디어 방송을 위한 객체 저장 방법)

  • Han, Dae-Young;Hwang, Bu-Hyun;Kim, Dae-In;Kim, Jae-In;Na, Choul-Su
    • The Journal of the Korea Contents Association
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    • v.9 no.2
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    • pp.51-59
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    • 2009
  • Interactive multimedia broadcasting can serve various additional information of object in multimedia because of the commercialized data broadcasting by communication and broadcasting convergence. One of the most important factors in interactive multimedia broadcasting is User-Centric Interoperability. The higher User-Centric Interoperability, the more information of user-interest objects are served quickly by user request. This proposed method finds own area of the object in mask video and divides the area into equal parts. And then it store as a form of bitsum after clustering the area. As a result of experiment, We confirm the method is efficient to use space for storing position information of the object.

An Automatic Segmentation Method for Video Object Plane Generation (비디오 객체 생성을 위한 자동 영상 분할 방법)

  • 최재각;김문철;이명호;안치득;김성대
    • Journal of Broadcast Engineering
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    • v.2 no.2
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    • pp.146-155
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    • 1997
  • The new video coding standard Iv1PEG-4 is enabling content-based functionalities. It requires a prior decomposition of sequences into video object planes (VOP's) so that each VOP represents moving objets. This paper addresses an image segmentation method for separating moving objects from still background (non-moving area) in video sequences using a statistical hypothesis test. In the proposed method. three consecutive image frames are exploited and a hypothesis testing is performed by comparing two means from two consecutive difference images. which results in a T-test. This hypothesis test yields a change detection mask that indicates moving areas (foreground) and non-moving areas (background), Moreover. an effective method for extracting

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Separation of Occluding Pigs using Deep Learning-based Image Processing Techniques (딥 러닝 기반의 영상처리 기법을 이용한 겹침 돼지 분리)

  • Lee, Hanhaesol;Sa, Jaewon;Shin, Hyunjun;Chung, Youngwha;Park, Daihee;Kim, Hakjae
    • Journal of Korea Multimedia Society
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    • v.22 no.2
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    • pp.136-145
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    • 2019
  • The crowded environment of a domestic pig farm is highly vulnerable to the spread of infectious diseases such as foot-and-mouth disease, and studies have been conducted to automatically analyze behavior of pigs in a crowded pig farm through a video surveillance system using a camera. Although it is required to correctly separate occluding pigs for tracking each individual pigs, extracting the boundaries of the occluding pigs fast and accurately is a challenging issue due to the complicated occlusion patterns such as X shape and T shape. In this study, we propose a fast and accurate method to separate occluding pigs not only by exploiting the characteristics (i.e., one of the fast deep learning-based object detectors) of You Only Look Once, YOLO, but also by overcoming the limitation (i.e., the bounding box-based object detector) of YOLO with the test-time data augmentation of rotation. Experimental results with two-pigs occlusion patterns show that the proposed method can provide better accuracy and processing speed than one of the state-of-the-art widely used deep learning-based segmentation techniques such as Mask R-CNN (i.e., the performance improvement over Mask R-CNN was about 11 times, in terms of the accuracy/processing speed performance metrics).

전자총 히터(electron gun heater) 자동검사를 위한 머신비젼 알고리즘

  • 김인수;이문규
    • Journal of the Korean Society for Precision Engineering
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    • v.17 no.3
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    • pp.58-67
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    • 2000
  • Electron gun heaters are used to heat a cathode in video(TV) monitors. Major defects of the electron gun heaters include dimensional inaccuracy and pollution with dirty materials. In this paper, to save the labor and time being taken to inspect the heaters, a machine vision system is considered. For the system, a new algorithm is developed to measure the 9 different dimensions of each heater and to detect polluted defects. The algorithm consists of three stages. In the first stage, the center of the heater image is obtained and then its boundary detection is performed. For the efficient boundary detection, a mask called the sum mask is used. In the second stage of the algorithm, a set of fiducial points are determined on the boundary image. Finally, using the fiducial points specified dimensions are measured and the amount of polluted area is computed in the third stage. The performance of the algorithm is evaluated for a set of real specimens. The results indicate that measurements obtained by the algorithm satisfy the tolerance limits fur most of the dimensions and the algorithm detects the polluted defects successfully.

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A Study on Image Restoration Filter in Impulse Noise Environments (임펄스 잡음 환경에서 영상복원 필터에 관한 연구)

  • Xu, Long;Kim, Nam-Ho
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.18 no.2
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    • pp.475-481
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    • 2014
  • As the society develops to advanced digital information times, many studies are underway about digital video processing technology areas such as image restoration. There are typical methods to restore the image which have been damaged by the impulse noise like SM(standard median) filter and CWM(center weighted median) filter. These filters show excellent noise reduction capabilities in low noise density areas, but in high noise density areas, noise reduction capabilities are not sufficient. In this paper, in order to restore the degraded images in impulse(Salt & Pepper) noise environment, the image restoration filter algorithm was suggested which expands and subdivide the mask focusing on damaged pixels. And to demonstrate the superiority of the proposed algorithm used PSNR (peak signal to noise ratio) as the standard of judgement.