• Title/Summary/Keyword: 장면전환검출

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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.

Scene Change Detection with 3-Step Process (3단계 과정의 장면 전환검출)

  • Yoon, Shin-Seong;Won, Rhee-Yang
    • Journal of the Korea Society of Computer and Information
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    • v.13 no.6
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    • pp.147-154
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    • 2008
  • First, this paper compute difference value between frames using the composed method of $X^2$ histogram and color histogram and the normalization. Next, cluster representative frame was decided by using the clustering for distance and the k-mean grouping. Finally, representative frame of group was decided by using the likelihood ratio. Proposed method can be known by experiment as outstanding of detection rather than other methods, due to computing of difference value, clustering and grouping, and detecting of representative frame.

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Real Time Advertisement Indexing & Detection (실시간 광고 색인 및 검출)

  • Goo YoungMo;Kim Jung-Rim;Sull Sanghoon
    • Proceedings of the Korean Society of Broadcast Engineers Conference
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    • 2003.11a
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    • pp.227-230
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    • 2003
  • 최근 디지털 방송이 시작됨에 따라 방송 채널이 다변화하고 그 수도 많아지고 있다. 현재 방송되고 있는 디지털 당송에 지상파 방송과 케이블 TV의 그 방송까지 고려한다면 시청자가 접합 수 있는 방송은 다양하다. 기업들은 주요 홍보 매체인 방송을 통해 자신들의 상품을 광고로 내보낸다. 또한 자신들의 광고에 대한 모니터링을 통해 광고가 계약한 시간, 횟수, 광고의 길이에 맞게 방영되는지 알고 식어 한다. 현재 이러한 모니터링은 사람에 의한 수작업으로 이루어지고 있으며, 여러 채널의 방송에 광고를 내보냈을 때에는 이러한 모니터링은 더욱 어려워진다. 본 논문에서는 디지털 방송뿐만 아니라 아날로그 방송에 대해서까지도, 현재 방송의 비주얼 리듬을 실시간으로 추출하고 이를 이용하여 장면 전환을 수행하고 특징 벡터를 추출해서 얻어진 정보들을 이용한 실시간 광고 검출 알고리즘을 제안한다.

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Video Evaluation System Using Scene Change Detection and User Profile (장면전환검출과 사용자 프로파일을 이용한 비디오 학습 평가 시스템)

  • Shin, Seong-Yoon
    • The KIPS Transactions:PartD
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    • v.11D no.1
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    • pp.95-104
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    • 2004
  • This paper proposes an efficient remote video evaluation system that is matched well with personalized characteristics of students using information filtering based on user profile. For making a question in forms of video, a key frame extraction method based on coordinate, size and color information is proposed. And Question-mating intervals are extracted using gray-level histogram difference and time window. Also, question-making method that combined category-based system with keyword-based system is used for efficient evaluation. Therefore, students can enhance their study achievement through both supplementing their inferior area and preserving their interest area.

Sketch-based Image Retrieval System using Optimized Specific Region (최적화된 특정 영역을 이용한 스케치 기반 영상 검색 시스템)

  • Ko Kwang-Hoon;Kim Nac-Woo;Kim Tae-Eun;Choi Jong-Soo
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.30 no.8C
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    • pp.783-792
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    • 2005
  • This paper proposes a feature extraction method for sketch-based image retrieval of animation character. We extract the specific regions using the detection of scene change and correlation points between two frames, and the property of animation production. We detect the area of focused similar colors in extracted specific region. And it is used as feature descriptor for image retrieval that focused color(FC) of regions, size, relation between FCs. Finally, an user can retrieve the similar character using property of animation production and user's sketch as a query Image.

3D feature point extraction technique using a mobile device (모바일 디바이스를 이용한 3차원 특징점 추출 기법)

  • Kim, Jin-Kyum;Seo, Young-Ho
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2022.10a
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    • pp.256-257
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    • 2022
  • In this paper, we introduce a method of extracting three-dimensional feature points through the movement of a single mobile device. Using a monocular camera, a 2D image is acquired according to the camera movement and a baseline is estimated. Perform stereo matching based on feature points. A feature point and a descriptor are acquired, and the feature point is matched. Using the matched feature points, the disparity is calculated and a depth value is generated. The 3D feature point is updated according to the camera movement. Finally, the feature point is reset at the time of scene change by using scene change detection. Through the above process, an average of 73.5% of additional storage space can be secured in the key point database. By applying the algorithm proposed to the depth ground truth value of the TUM Dataset and the RGB image, it was confirmed that the\re was an average distance difference of 26.88mm compared with the 3D feature point result.

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Automatic Threshold-decision Algorithm using the Average and Standard Deviation (평균과 표준편차를 이용한 자동 임계치-결정 알고리즘)

  • Ko, Kyong-Cheol;Rhee, Yang-Won
    • The Journal of Korean Association of Computer Education
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    • v.8 no.6
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    • pp.103-111
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    • 2005
  • This paper presents a novel automated threshold-decision algorithm that uses the mean and standard-deviation values obtained from the difference values of consecutive frames. At first, the calculation of difference values is obtained by the weighted ${\chi}^2$-test algorithm which was modified by joining color histogram to ${\chi}^2$-test algorithm. The weighted ${\chi}^2$-test algorithm can subdivide the difference values by imposing weights according to NTSC standard. In the first step, the proposed automatic threshold-decision algorithm calculates the mean and standard-deviation value from the total difference values, and then subtracts the mean value from the each difference values. In the next step, the same process is performed on the remained difference values, and lastly, the threshold is detected from the mean when the standard deviation has a maximum value. The proposed method is tested on various video sources and, in the experimental results, it is shown that the proposed method efficiently estimates the thresholds and reliably detects scene changes.

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Creation of Soccer Video Highlights Using Caption Information (자막 정보를 이용한 축구 비디오 하이라이트 생성)

  • Shin Seong-Yoon;Kang Il-Ko;Rhee Yang-Won
    • Journal of the Korea Society of Computer and Information
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    • v.10 no.5 s.37
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    • pp.65-76
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    • 2005
  • A digital video is a very long data that requires large-capacity storage space. As such, prior to watching a long original video, video watchers want to watch a summarized version of the video. In the field of sports, in particular, highlights videos are frequently watched. In short, a highlights video allows a video watcher to determine whether the highlights video is well worth watching. This paper proposes a scheme for creating soccer video highlights using the structural features of captions in terms of time and space. Such structural features are used to extract caption frame intervals and caption keyframes. A highlights video is created through resetting shots for caption keyframes, by means of logical indexing, and through the use of the rule for creating highlights. Finally, highlights videos and video segments can be searched and browsed in a way that allows the video watcher to select his/her desired items from the browser.

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Shot Change Detection Using Fuzzy Clustering Method on MPEG Video Frames (퍼지 클러스터링 기법을 이용한 MPEG 비디오의 장면 전환 검출)

  • Lim, Seong-Jae;Kim, Woon;Lee, Bae-Ho
    • Proceedings of the IEEK Conference
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    • 2000.11d
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    • pp.159-162
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    • 2000
  • In this paper, we propose an efficient method to detect shot changes in compressed MPEG video data by using reference features among video frames. The reference features among video frames imply the similarities among adjacent frames by prediction coded type of each frame. A shot change is detected if the similarity degrees of a frame and its adjacent frames are low. And the shot change detection algorithm is improved by using Fuzzy c-means (FCM) clustering algorithm. The FCM clustering algorithm uses the shot change probabilities evaluated in the mask matching of reference ratios and difference measure values based on frame reference ratios.

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Distance Video Browsing Service Using Video Editing System (비디오 편집 시스템을 활용한 원격 비디오 브라우징 서비스)

  • 고경철;신성윤;임정훈;이양원
    • Proceedings of the Korea Multimedia Society Conference
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    • 2001.11a
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    • pp.303-307
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    • 2001
  • 최근 인터넷의 급속한 성장과 빠른 보급, 정보통신 분야의 기술퓨전 현상들은 인터넷을 이용한 다양한 콘텐츠의 개발을 가속화시키고 있다. 특히 멀티미디어 스트리밍 기술은 일반 사용자들에게 동영상은 물곤 풍부한 멀티미디어 데이터 전송을 통하여 능동적인 대화형 서비스를 제공할 수 있는 장점들을 가지고 있다. 비디오 편집시스템은 데이터의 종류에 따라서 제안된 알고리즘과 자동/수동 분류방식을 이용하여 장면전환 검출의 정확성과 효율성을 높이고자 하였으며, 사용자의 요구에 적합한 의미 정보들을 추출하고 편집하여 내용기반 데이터베이스 시스템을 구축하고자 하였다. 또한 원격에서 웹을 통한 브라우징 서비스를 통하여 데이터베이스로부터 사용자의 요구에 능동적으로 대처할 수 있는 비디오 브라우징 서비스를 제공하고자 하였다.

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