• Title/Summary/Keyword: Key caption detection

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A Novel Approach for Key Caption Detection in Golf Videos Using Color Patterns

  • Jung, Cheol-Kon;Kim, Joong-Kyu
    • ETRI Journal
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    • v.30 no.5
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    • pp.750-752
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    • 2008
  • This paper provides a novel method of detecting key captions containing player information in golf videos. We use the color pattern of captions and its repetition property to determine the key captions. The experimental results show that the proposed method achieves a much higher accuracy than existing methods.

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Caption Detection and Recognition for Video Image Information Retrieval (비디오 영상 정보 검색을 위한 문자 추출 및 인식)

  • 구건서
    • Journal of the Korea Computer Industry Society
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    • v.3 no.7
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    • pp.901-914
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    • 2002
  • In this paper, We propose an efficient automatic caption detection and location method, caption recognition using FE-MCBP(Feature Extraction based Multichained BackPropagation) neural network for content based retrieval of video. Frames are selected at fixed time interval from video and key frames are selected by gray scale histogram method. for each key frames, segmentation is performed and caption lines are detected using line scan method. lastly each characters are separated. This research improves speed and efficiency by color segmentation using local maximum analysis method before line scanning. Caption detection is a first stage of multimedia database organization and detected captions are used as input of text recognition system. Recognized captions can be searched by content based retrieval method.

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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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