標題: Automatic closed caption detection and filtering in MPEG videos for video structuring
作者: Chen, Duan-Yu
Hsiao, Ming-Ho
Lee, Suh-Yin
資訊工程學系
Department of Computer Science
關鍵字: caption frame detection;closed caption detection;font size differentiation;video structuring;video segmentation
公開日期: 1-九月-2006
摘要: Video structuring is the process of extracting temporal structural information of video sequences and is a crucial step in video content analysis especially for sports videos. It involves detecting temporal boundaries, identifying meaningful segments of a video and then building a compact representation of video content. Therefore, in this paper, we propose a novel mechanism to automatically parse sports videos in compressed domain and then to construct a concise table of video content employing the superimposed closed captions and the semantic classes of video shots. First of all, shot boundaries are efficiently examined using the approach of GOP-based video segmentation. Color-based shot identification is then exploited to automatically identify meaningful shots. The efficient approach of closed caption localization is proposed to first detect caption frames in meaningful shots. Then caption frames instead of every frame are selected as targets for detecting closed captions based on long-term consistency without size constraint. Besides, in order to support discriminate captions of interest automatically, a novel tool - font size detector is proposed to recognize the font size of closed captions using compressed data in MPEG videos. Experimental results show the effectiveness and the feasibility of the proposed mechanism.
URI: http://hdl.handle.net/11536/11896
ISSN: 1016-2364
期刊: JOURNAL OF INFORMATION SCIENCE AND ENGINEERING
Volume: 22
Issue: 5
起始頁: 1145
結束頁: 1162
顯示於類別:期刊論文


文件中的檔案:

  1. 000241017600011.pdf

若為 zip 檔案,請下載檔案解壓縮後,用瀏覽器開啟資料夾中的 index.html 瀏覽全文。