Video OCR for digital news archive

Author

Sato, Takao ; Kanade, Takeo ; Hughes, Ellen K. ; Smith, Michael A.

Author_Institution

Sch. of Comput. Sci., Carnegie Mellon Univ., Pittsburgh, PA, USA

fYear

1998

fDate

35798

Firstpage

52

Lastpage

60

Abstract

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

Keywords

feature extraction; image resolution; image segmentation; indexing; interpolation; multimedia computing; optical character recognition; query processing; visual databases; annotations; character recognition; character segmentation; digital news video archive; extremely complex backgrounds; interpolation filter; low resolution characters; multiframe integration; news captions; news indexing; search information; video OCR; video understanding techniques; Brightness; Character recognition; Computer science; Data mining; Filters; Image resolution; Layout; Licenses; Optical character recognition software; Video compression;

fLanguage

English

Publisher

ieee

Conference_Titel

Content-Based Access of Image and Video Database, 1998. Proceedings., 1998 IEEE International Workshop on

Conference_Location

Bombay

Print_ISBN

0-8186-8329-5

Type

conf

DOI

10.1109/CAIVD.1998.646033

Filename

646033