The use of Scene Text Detection methods for news crawl extraction

News crawl extraction is a subset of media monitoring. It is not directly related to the broadcast itself and not spoken by any anchor or guest - therefore its content cannot be inspected via speech-to-text tools. News crawl content is only available as text in video frames so its extraction can be...

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Bibliographic Details
Published in:Scientific Bulletin ("Mircea cel Bătrân" Naval Academy) 2023-07, Vol.26 (2), p.165-170
Main Authors: Sorin, Milutinovici, Ciprian, Răcuciu
Format: Article
Language:English
Subjects:
Boxes
Deep learning
Neural networks
News
Probability
Regression models
Semantic segmentation
Semantics
Sensors
Speech recognition
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Summary:News crawl extraction is a subset of media monitoring. It is not directly related to the broadcast itself and not spoken by any anchor or guest - therefore its content cannot be inspected via speech-to-text tools. News crawl content is only available as text in video frames so its extraction can be done using Scène Text Detection techniques. This work tests the most used deep learning Scène Text Detection methods (both regression and semantic segmentation approaches) to see if they canbe used as abase in news crawl extraction. Our investigation shows that regression based model CTPN performs better for our particular purpose that the semantic segmentation based E AST and CRAFT models...
ISSN:1454-864X
2392-8956
DOI:10.21279/1454-864X-23-l2-020