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Accessing Textual Information Embedded in Internet Images

Antonacopoulos, Apostolos, Karatzas, Dimosthenis and Ortiz Lopez, J (2001) Accessing Textual Information Embedded in Internet Images At SPIE, Internet Imaging II, United States. , pp. 198-205.

Record type: Conference or Workshop Item (Paper)


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.

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Published date: 2001
Additional Information: Event Dates: January 2001
Venue - Dates: SPIE, Internet Imaging II, United States, 2001-01-01
Keywords: Web document analysis, image analysis, text extraction
Organisations: Electronics & Computer Science


Local EPrints ID: 263506
PURE UUID: 582e7d37-70da-4992-b760-147a5ba5f998

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Date deposited: 19 Feb 2007
Last modified: 18 Jul 2017 07:45

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Author: Apostolos Antonacopoulos
Author: Dimosthenis Karatzas
Author: J Ortiz Lopez

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