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Automatic Text Extraction in Digital Video Based on Motion Analysis

Identifieur interne : 001567 ( Main/Exploration ); précédent : 001566; suivant : 001568

Automatic Text Extraction in Digital Video Based on Motion Analysis

Auteurs : Duarte Palma [Portugal] ; João Ascenso [Portugal] ; Fernando Pereira [Portugal]

Source :

RBID : ISTEX:8FDBE4FE48BA5B4A90D094770B024DDA286D462B

Descripteurs français

English descriptors

Abstract

Abstract: It is well known that the text that appears in a video scene or is graphically added to it is an important source of semantic information for indexing and retrieval, notably in the context of video databases. This paper proposes an improved algorithm for the automatic extraction of text in digital video; its major strengths are its robustness in terms of text skew and its improved performance in dealing with scene text. The system is based on a segmentation approach, using geometrical and spatial analyses for text detection. After, temporal redundancy is exploited to improve the detection performance by means of motion analysis. The output of the text detection step is then directly passed to a standard OCR software package in order to obtain the detected text as ASCII characters.

Url:
DOI: 10.1007/978-3-540-30125-7_73


Affiliations:


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


Le document en format XML

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