Serveur d'exploration sur l'OCR

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Evaluation Framework for Video OCR

Identifieur interne : 001075 ( Main/Exploration ); précédent : 001074; suivant : 001076

Evaluation Framework for Video OCR

Auteurs : Padmanabhan Soundararajan [États-Unis] ; Matthew Boonstra [États-Unis] ; Vasant Manohar [États-Unis] ; Valentina Korzhova [États-Unis] ; Dmitry Goldgof [États-Unis] ; Rangachar Kasturi [États-Unis] ; Shubha Prasad [États-Unis] ; Harish Raju [États-Unis] ; Rachel Bowers ; John Garofolo

Source :

RBID : ISTEX:8AFF4B0AF7E9D0FE474627C92962987963C951F5

Descripteurs français

English descriptors

Abstract

Abstract: In this work, we present a recently developed evaluation framework for video OCR specifically for English Text but could well be generalized for other languages as well. Earlier works include the development of an evaluation strategy for text detection and tracking in video, this work is a natural extension. We sucessfully port and use the ASR metrics used in the speech community here in the video domain. Further, we also show results on a small pilot corpus which involves 25 clips. Results obtained are promising and we believe that this is a good baseline and will encourage future participation in such evaluations.

Url:
DOI: 10.1007/11949619_74


Affiliations:


Links toward previous steps (curation, corpus...)


Le document en format XML

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