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Type | Book Chapter |
Scope | Discipline-based scholarship |
Title | HyText – A Scene-Text Extraction Method for Video Retrieval |
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Item Subtype | Original Work |
Refereed | Yes |
Status | Published in final form |
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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. |
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Digital Object Identifier | 10.1007/978-3-030-98355-0_16 |
Other Identification Number | merlin-id:22281 |
PDF File | Download from ZORA |
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