Natural language watermarking

Get BibTex-formatted data

Download

PDF

Author

Mercan Topkara and Cuneyt M. Taskiran and Edward J. Delp III

Entry type

conference

Abstract

In this paper we discuss natural language watermarking, which uses the structure of the sentence constituents in natural language textin order to insert a watermark. This approach is different from techniques, collectively referred to as "text watermarking," which embed information by modifying the appearance of text elements,such as lines, words, or characters. We provide a survey of the current state of the art in natural language watermarking and introduce terminology, techniques, and tools for text processing. We also examine the parallels and differences of the two watermarking domains and outline how techniques from the image watermarking domain may be applicable to the natural language watermarking domain.

Download

PDF

Date

2005

Editor

Edward J. Delp III and Ping W. Wong

Journal

Security, Steganography, and Watermarking of Multimedia Contents VII

Key alpha

topkara:441

Number

Pages

441-452

Publisher

SPIE

Volume

5681

Affiliation

Purdue University

Publication Date

2005-01-01

BibTex-formatted data

To refer to this entry, you may select and copy the text below and paste it into your BibTex document. Note that the text may not contain all macros that BibTex supports.

@Conference{ topkara:441,
	title = "Natural language watermarking",
	author = "Mercan Topkara and Cuneyt M. Taskiran and Edward J. Delp III",
	year = "2005",
	editor = "Edward J. Delp III and Ping W. Wong",
	journal = "Security, Steganography, and Watermarking of Multimedia Contents VII",
	number = "1",
	pages = "441-452",
	publisher = "SPIE",
	volume = "5681",
	abstract = "In this paper we discuss natural language watermarking, which uses the structure of the sentence constituents in natural language textin order to insert a watermark. This approach is different from techniques, collectively referred to as "text watermarking," which embed information by modifying the appearance of text elements,such as lines, words, or characters. We provide a survey of the current state of the art in natural language watermarking and introduce terminology, techniques, and tools for text processing. We also examine the parallels and differences of the two watermarking domains and outline how techniques from the image watermarking domain may be applicable to the natural language watermarking domain.",
	affiliation = "Purdue University",
}