TL;DR: In this paper, a text-searchable data structure that includes electronic image documents is presented. But the system is configured in modules, and the system also includes an OCR engine that abstracts character information from the detail optimized image document and writes the character information into a text file.
Abstract: The apparatus and methods in accordance with the present invention include systems in the form of computer software for creating a text-searchable data structure that includes electronic image documents. The system may be configured in modules. The system converts an electronic image document into a visually optimized electronic image document and into a detail optimized electronic image document. The system also includes an OCR engine that abstracts character information from the detail optimized electronic image document and writes the character information into a text file. The visually optimized electronic image document is linked with the text file in a data structure by the system. The resulting data structure, which may be an image over hidden text pdf document, may be searched using various text based search techniques. When specified text is located in a text file, the corresponding visually optimized electronic image document may then be presented to the searcher. The present invention also provides methods for creating a text searchable data structure containing electronic image documents. The method includes providing an electronic image document, generating a visually optimized electronic image document from the electronic image document, generating a detail optimized electronic image document from the electronic image document, using an optical character recognition engine to create a text file from the detail optimized electronic image document, and linking the visually optimized image with the text file in a data structure. The method may further include writing metadata to a metadata record in the data structure, and linking the metadata record with the text file and the visually optimized electronic image document in the data structure.
TL;DR: The proposed system enables the user to provide the system with both text and cover, and obtain a resulting image that contains the hidden text inside, to provide improved robustness, security due to multi-level security architecture along with faster embedding and extraction process irrespective of size of embedded text.
Abstract: The proposed system is an approach used to embed text into gray image (BMP).It enables the user to provide the system with both text and cover, and obtain a resulting image that contains the hidden text inside. The system uses the least significant Bit (LSB) method to embed the secret text in image after encrypt the secret text using RC4 stream cipher method and store the text in non sequential pixel in image by using variable hope value power of 2(2, 4, 8, 16, 32).The Proposed system aim to provide improved robustness, security due to multi-level security architecture along with faster embedding and extraction process irrespective of size of embedded text.
TL;DR: This article showed that the setting of text to rhythm is sensitive to syllable structure of spoken language in a public women's song series from Central Australia called Akwelye, which is based on regular alignment of textual features with rhythmic features.
Abstract: Traditional songs from Central Australia have a text set to an unvarying rhythm, which is in contrast to songs from many other parts of Australia This has led many researchers to regard text and rhythm of Central Australian Aboriginal songs as ‘two facets of the same structure’ In creating this structure the question is whether the setting of text to rhythm is random and thus non-metrical, or whether it is based on regular alignment of textual features with rhythmic features If the latter, a further question arises as to what particular features of text align with rhythm In this article I show that the setting of text to rhythm is sensitive to syllable structure of spoken language in a public women's song series from Central Australia called Akwelye
TL;DR: It is shown that there are such sources of covertexts, that any stegosystem that has linear (in the length of the covertext) speed of transmission of hidden text must have an exponential Kolmogorov complexity, and that some assumptions on the sources ofcovertext are necessary.
Abstract: We propose steganographic systems for the case when covertexts (containers) are generated by a finite-memory source with possibly unknown statistics. The probability distributions of covertexts with and without hidden information are the same; this means that the proposed stegosystems are perfectly secure, i.e. an observer cannot determine whether hidden information is being transmitted. The speed of transmission of hidden information can be made arbitrary close to the theoretical limit — the Shannon entropy of the source of covertexts. An interesting feature of the suggested stegosystems is that they do not require any (secret or public) key.
At the same time, we outline some principled computational limitations on steganography. We show that there are such sources of covertexts, that any stegosystem that has linear (in the length of the covertext) speed of transmission of hidden text must have an exponential Kolmogorov complexity. This shows, in particular, that some assumptions on the sources of covertext are necessary.
TL;DR: McNall as discussed by the authors presents a new and important reading of the Mill that bridges several disciplines and is essential reading for anybody concerned about the delicate fabric of our republican tradition, and it is scholarly, insightful, and written at a level that makes its important message accessible to student, scholar, and layperson.
Abstract: '...a new and important reading of Mill that bridges several disciplines. It is essential reading for anybody concerned about the delicate fabric of our republican tradition...The work is scholarly, insightful, and written at a level that makes its important message accessible to student, scholar, and layperson.'-Scott G. McNall, University of Toledo