DocumentCode :
3139953
Title :
A system for automatic text detection in video
Author :
Gargi, Ullas ; Crandall, David ; Antani, Sameer ; Gandhi, Tarak ; Keener, Ryan ; Kasturi, Rangachar
Author_Institution :
Dept. of Comput. Sci., Pennsylvania State Univ., University Park, PA, USA
fYear :
1999
fDate :
20-22 Sep 1999
Firstpage :
29
Lastpage :
32
Abstract :
Video indexing is an important problem that has occupied recent research efforts. The text appearing in video can provide semantic information about the scene content. Detecting and recognizing text events can provide indices into the video for content based querying. We describe a system for detecting, tracking, and extracting artificial and scene text in MPEG-1 video. Preliminary results are presented
Keywords :
content-based retrieval; feature extraction; text analysis; video signal processing; MPEG-1 video; automatic text detection; content based querying; scene content; scene text; semantic information; text events; video indexing; video text; Batteries; Discrete cosine transforms; Energy measurement; Image coding; Image segmentation; Indexing; Layout; Text recognition; Video compression; Yarn;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Document Analysis and Recognition, 1999. ICDAR '99. Proceedings of the Fifth International Conference on
Conference_Location :
Bangalore
Print_ISBN :
0-7695-0318-7
Type :
conf
DOI :
10.1109/ICDAR.1999.791717
Filename :
791717
Link To Document :
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