A statistical modeling approach to content based video retrieval
Milind R. Naphade, Sankar Basu, et al.
ICPR 2008
Superimposed text and scene text in video, i.e. videotext, brings important semantic clues into content analysis. In this paper we present a videotext description scheme and automatic methods for detection and representation of text in video segments. One of the methods is based on edge characterization while the other is based on region analysis. Applications of the videotext description scheme are numerous ranging from video indexing and annotation, ticker-tape anaylsis, commercial detection, transcript analysis to cross-modal querying using text and face information.
Milind R. Naphade, Sankar Basu, et al.
ICPR 2008
Minerva M. Yeung, Fred Mintzer
ICIP 1997
R.A. Gopinath, Markus Lang, et al.
ICIP 1994
David B. Mayer, Ashford W. Stalnaker
ACM SIGMIS CPR 1967