Not logged in.

Contribution Details

Type Book Chapter
Scope Discipline-based scholarship
Title HyText – A Scene-Text Extraction Method for Video Retrieval
Organization Unit
  • Alexander Theus
  • Luca Rossetto
  • Abraham Bernstein
  • Björn Þór Jónsson
  • et al
Item Subtype Original Work
Refereed Yes
Status Published in final form
  • English
Booktitle MultiMedia Modeling. MMM 2022. Lecture Notes in Computer Science, Part II
ISBN 978-3-030-98355-0
Number 13142
Place of Publication Cham
Publisher Springer
Page Range 182 - 193
Date 2022
Abstract Text Scene-text has been shown to be an effective query target for video retrieval applications in a known-item search context. While much progress has been made in scene-text extraction from individual pictures, the special case of video has so far received less attention. This paper introduces HyText, a scene-text extraction method for video with a focus on retrieval applications. HyText uses intermittent scene-text detection in combination with bi-directional tracking in order to increase throughput without reducing detection accuracy.
Related URLs
Digital Object Identifier 10.1007/978-3-030-98355-0_16
Other Identification Number merlin-id:22281
PDF File Download from ZORA
Export BibTeX