A new approach for overlay text detection and extraction from complex video scene = 복잡한 영상 데이터에서의 새로운 삽입 자막 검출 및 삽입 자막 추출 기법

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Overlay text brings important semantic clues in video content analysis such as video information retrieval and summarization, since the content of the scene or the editor``s intention can be well represented by using inserted text. Most of the previous approaches to extracting overlay text from videos are based on low-level features, such as edge, color, and texture information. However, existing methods experience difficulties in handling texts with various contrasts or inserted in a complex background. In this thesis, we propose a novel framework to detect and extract the overlay text from the video scene. Based on our observation that there exist transient colors between inserted text and its adjacent background, a transition map is first generated. Then candidate regions are extracted by a reshaping method and the overlay text regions are determined based on the occurrence of overlay text in each candidate. The detected overlay text regions are localized accurately using the projection of overlay text pixels in the transition map and the text extraction is finally conducted. The proposed method is robust to different character size, position, contrast, and color. It is also language independent. Overlay text region update between frames is also employed to reduce the processing time. Experiments are performed on diverse videos to confirm the efficiency of the proposed method.
Advisors
Kim, Chang-Ickresearcher김창익researcher
Description
한국정보통신대학교 : 공학부,
Publisher
한국정보통신대학교
Issue Date
2008
Identifier
393036/225023 / 020064650
Language
eng
Description

학위논문(석사) - 한국정보통신대학교 : 공학부, 2008.8, [ viii, 48 p. ]

Keywords

Video indexing; Video information retrieval; Overlay text; Transition map; 천이 지도; 비디오 색인; 비디오 정보 검색; 삽입자막

URI
http://hdl.handle.net/10203/55025
Link
http://library.kaist.ac.kr/search/detail/view.do?bibCtrlNo=393036&flag=dissertation
Appears in Collection
School of Engineering-Theses_Master(공학부 석사논문)
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