C. Neti, Salim Roukos
ASRU 1997
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.
C. Neti, Salim Roukos
ASRU 1997
Hans-Werner Fink, Heinz Schmid, et al.
Journal of the Optical Society of America A: Optics and Image Science, and Vision
C.H. Morimoto, D. Koons, et al.
Image and Vision Computing
Srideepika Jayaraman, Chandra Reddy, et al.
Big Data 2021