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Automatic detection and extraction of artificial text in video
Malobabić, Jovanka; O'Connor, Noel E.; Murphy, Noel; Marlow, Seán
A significant challenge in large multimedia databases is the provision of efficient means for semantic indexing and retrieval of visual information. Artificial text in video is normally generated in order to supplement or summarise the visual content and thus is an important carrier of information that is highly relevant to the content of the video. As such, it is a potential ready-to-use source of semantic information. In this paper we present an algorithm for detection and localisation of artificial text in video using a horizontal difference magnitude measure and morphological processing. The result of character segmentation, based on a modified version of the Wolf-Jolion algorithm [1][2] is enhanced using smoothing and multiple binarisation. The output text is input to an “off-the-shelf” noncommercial OCR. Detection, localisation and recognition results for a 20min long MPEG-1 encoded television programme are presented.
Keyword(s): Digital video; Information retrieval
Publication Date:
Type: Other
Peer-Reviewed: Unknown
Language(s): English
Institution: Dublin City University
Citation(s): Malobabić, Jovanka, O'Connor, Noel E. ORCID: 0000-0002-4033-9135 <>, Murphy, Noel and Marlow, Seán (2004) Automatic detection and extraction of artificial text in video. In: WIAMIS 2004 - 5th International Workshop on Image Analysis for Multimedia Interactive Services, 21-23 April 2004, Lisbon, Portugal.
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First Indexed: 2009-11-05 02:00:40 Last Updated: 2019-02-09 07:03:32