Title :
Telop-on-demand: video structuring and retrieval based on text recognition
Author :
Kuwano, H. ; Taniguchi, Y. ; Arai, H. ; Mori, M. ; Kurakake, S. ; Kojima, H.
Author_Institution :
NTT Cyber Solutions Labs., Kanagawa, Japan
Abstract :
The paper presents a telop-on-demand system that anatomically recognizes texts in video frames to create the indices needed for content based video browsing and retrieval. Superimposed texts are important as they provide semantic information about scene contents. Their attributes such as fonts, size, and position in a frame are important as they are carefully designed by the video editor and so reflect the intent of captioning. In news programs, for instance, the headline text is displayed in larger fonts than the subtitles. Our system takes into account not only the texts themselves but also their attributes for structuring videos. We describe: (i) novel methods for detecting and extracting texts that are robust against the presence of complex backgrounds and intensity degradation of the character patterns, and (ii) a method for structuring a video based on the text attributes
Keywords :
content-based retrieval; database indexing; multimedia databases; pattern recognition; text analysis; video signal processing; anatomic text recognition; captioning; character patterns; content based video browsing; headline text; intensity degradation; news programs; scene contents; semantic information; structuring; superimposed texts; telop-on-demand system; text attributes; text extraction; text recognition; video editor; video frames; video structuring; Content based retrieval; Content management; Degradation; Image segmentation; Indexing; Laboratories; Layout; Multimedia communication; Robustness; Text recognition;
Conference_Titel :
Multimedia and Expo, 2000. ICME 2000. 2000 IEEE International Conference on
Conference_Location :
New York, NY
Print_ISBN :
0-7803-6536-4
DOI :
10.1109/ICME.2000.871472
