10 research outputs found

    Application and Theory of Multimedia Signal Processing Using Machine Learning or Advanced Methods

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    This Special Issue is a book composed by collecting documents published through peer review on the research of various advanced technologies related to applications and theories of signal processing for multimedia systems using ML or advanced methods. Multimedia signals include image, video, audio, character recognition and optimization of communication channels for networks. The specific contents included in this book are data hiding, encryption, object detection, image classification, and character recognition. Academics and colleagues who are interested in these topics will find it interesting to read

    Breaking the Binary: Exploring Orality in India through Typography, Cryptography and Craft

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    This thesis explores the fluidity of language through the fusion of heterogenous visual traditions — creating hybrid forms and coded communication. It voyages through the linguistic landscape of India. Delving into its social, political and cultural identities it finds expression in typography, cryptography, craft arts and poetry. From this body of work emerged the hybrid typeface Latinagari, a character set that fuses the letterforms of the Devanagari and Latin scripts. Embodying both forms it is also neither. Being familiar to readers of either script, yet obscure. It both invites and denies the viewer’s desire to read. Representing the in-between spaces of spoken language in India, it is its own being. Through it, a novel graphic language finds form and with it new opportunities for expression, communication and mis-communication. Like the way Hindi flows to English and back in contemporary Indian culture this visual vocabulary becomes its own thing, An expression of identity, a linguistic code and a way of knowing.Communication designCryptographyEmbroideryCraftCoded communicationMultilingual typographyDownload for optimal viewing experience

    Automated framework for robust content-based verification of print-scan degraded text documents

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    Fraudulent documents frequently cause severe financial damages and impose security breaches to civil and government organizations. The rapid advances in technology and the widespread availability of personal computers has not reduced the use of printed documents. While digital documents can be verified by many robust and secure methods such as digital signatures and digital watermarks, verification of printed documents still relies on manual inspection of embedded physical security mechanisms.The objective of this thesis is to propose an efficient automated framework for robust content-based verification of printed documents. The principal issue is to achieve robustness with respect to the degradations and increased levels of noise that occur from multiple cycles of printing and scanning. It is shown that classic OCR systems fail under such conditions, moreover OCR systems typically rely heavily on the use of high level linguistic structures to improve recognition rates. However inferring knowledge about the contents of the document image from a-priori statistics is contrary to the nature of document verification. Instead a system is proposed that utilizes specific knowledge of the document to perform highly accurate content verification based on a Print-Scan degradation model and character shape recognition. Such specific knowledge of the document is a reasonable choice for the verification domain since the document contents are already known in order to verify them.The system analyses digital multi font PDF documents to generate a descriptive summary of the document, referred to as \Document Description Map" (DDM). The DDM is later used for verifying the content of printed and scanned copies of the original documents. The system utilizes 2-D Discrete Cosine Transform based features and an adaptive hierarchical classifier trained with synthetic data generated by a Print-Scan degradation model. The system is tested with varying degrees of Print-Scan Channel corruption on a variety of documents with corruption produced by repetitive printing and scanning of the test documents. Results show the approach achieves excellent accuracy and robustness despite the high level of noise

    Publications from NIAS: January 1988-June 2013 (NIAS Report No. R23-2014)

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    This report has a bibliographic listing of all the publications from NIAS since inception till June 201

    Copyright in music- an analysis of emerging legal trends.

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    Technological innovations have always influenced the ways in which music is made and consumed in societies. Now that music has entered the digital realm a new revolution is underway. The near perfect duplication facilitated by digital technology in conspiracy with the ease of exchange provided by the Internet threaten to render copyright law into a redundant relic, while at the same time changing the way in which millions across the globe listen to music. A new music culture has been born –driven by technology advances, hindered only by copyright law. The combination of the Internet and digital technology presents copyright law with what has been described as a digital dilemma. The availability of digital music in the form of MP3s has allowed for songs and albums to be easily compressed into manageable digital file sizes while maintaining very high audio fidelity. Millions of individuals across the world have created MP3s by „ripping‟ music albums into digital files of this format and made them available to others in cyberspace. Millions of others have searched for and downloaded these tracks without having to go a bricks –and –mortar retail establishment and purchase them on CD, and have shared them widely through online transfers and by burning them on recordable CDs.3Digital copy of Ph.D thesis.University of Kashmir

    NIAS Annual Report 2019-2020

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