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Automatic detection and extraction of artificial text in video

Malobabić, Jovanka, O'Connor, Noel E. orcid logoORCID: 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.

Abstract
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.
Metadata
Item Type:Conference or Workshop Item (Paper)
Event Type:Workshop
Refereed:Yes
Subjects:Computer Science > Digital video
Computer Science > Information retrieval
DCU Faculties and Centres:Research Initiatives and Centres > Centre for Digital Video Processing (CDVP)
Research Initiatives and Centres > Adaptive Information Cluster (AIC)
Official URL:http://www.img.lx.it.pt/WIAMIS2004/accepted.html
Use License:This item is licensed under a Creative Commons Attribution-NonCommercial-Share Alike 3.0 License. View License
Funders:Science Foundation Ireland, SFI 03/IN.3/I361, Enterprise Ireland, EI CFTD/03/216, EU IST-2000-32795
ID Code:421
Deposited On:04 Apr 2008 by DORAS Administrator . Last Modified 09 Nov 2018 09:57
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