TY - GEN
T1 - Video OCR for digital news archive
AU - Sato, T.
AU - Kanade, T.
AU - Hughes, E. K.
AU - Smith, M. A.
N1 - Funding Information:
This work has been partially supported by the National Science Foundation under grant No. IRI- 9411299. The authors would like to thank Shin'ichi Satoh and Yuichi Nakamura for valuable discussions and for providing postprocessing data.
Funding Information:
This work has been partially supported by the National Science Foundation under grant No. IRI-9411299. The authors would like to thank Shin’ichi Satoh and Yuichi Nakamura for valuable discussions and for providing postprocessing data.
Publisher Copyright:
© 1998 IEEE.
PY - 1998
Y1 - 1998
N2 - Video OCR is a technique that can greatly help to locate topics of interest in a large digital news video archive via the automatic extraction and reading of captions and annotations. News captions generally provide vital search information about the video being presented, the names of people and places or descriptions of objects. In this paper, two difficult problems of character recognition for videos are addressed: low resolution characters and extremely complex backgrounds. We apply an interpolation filter, multi-frame integration and a combination of four filters to solve these problems. Segmenting characters is done by a recognition-based segmentation method and intermediate character recognition results are used to improve the segmentation. The overall recognition results are good enough for use in news indexing. Performing video OCR on news video and combining its results with other video understanding techniques will improve the overall understanding of the news video content.
AB - Video OCR is a technique that can greatly help to locate topics of interest in a large digital news video archive via the automatic extraction and reading of captions and annotations. News captions generally provide vital search information about the video being presented, the names of people and places or descriptions of objects. In this paper, two difficult problems of character recognition for videos are addressed: low resolution characters and extremely complex backgrounds. We apply an interpolation filter, multi-frame integration and a combination of four filters to solve these problems. Segmenting characters is done by a recognition-based segmentation method and intermediate character recognition results are used to improve the segmentation. The overall recognition results are good enough for use in news indexing. Performing video OCR on news video and combining its results with other video understanding techniques will improve the overall understanding of the news video content.
UR - http://www.scopus.com/inward/record.url?scp=84976215140&partnerID=8YFLogxK
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U2 - 10.1109/CAIVD.1998.646033
DO - 10.1109/CAIVD.1998.646033
M3 - Conference contribution
AN - SCOPUS:84976215140
T3 - Proceedings - 1998 IEEE International Workshop on Content-Based Access of Image and Video Database, CAIVD 1998
SP - 52
EP - 60
BT - Proceedings - 1998 IEEE International Workshop on Content-Based Access of Image and Video Database, CAIVD 1998
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 1998 IEEE International Workshop on Content-Based Access of Image and Video Database, CAIVD 1998
Y2 - 3 January 1998
ER -