Accessing Textual Information Embedded in Internet Images

Antonacopoulos, Apostolos, Karatzas, Dimosthenis and Ortiz Lopez, J (2001) Accessing Textual Information Embedded in Internet Images. In, SPIE, Internet Imaging II, San Jose, USA, SPIE, 198-205.


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Indexing and searching for WWW pages is relying on analysing text. Current technology cannot process the text embedded in images on WWW pages. This paper argues that this is a significant problem as text in image form is usually semantically important (e.g. headers, titles). The results of a recent study are presented to show that the majority (76%) of words embedded in images do not appear elsewhere in the main text and that the majority (56%) of ALT tag descriptions of images are incorrect or do not exist at all. Research under way to devise tools to extract text from images based on the way humans perceive colour differences is outlined and results are presented.

Item Type: Conference or Workshop Item (Paper)
Additional Information: Event Dates: January 2001
Keywords: Web document analysis, image analysis, text extraction
Divisions : Faculty of Physical Sciences and Engineering > Electronics and Computer Science
ePrint ID: 263506
Accepted Date and Publication Date:
Date Deposited: 19 Feb 2007
Last Modified: 27 Mar 2014 20:07
Further Information:Google Scholar

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