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Contribution Details
| 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 |
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