Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/430122
Title: New Developments of Perceptual Hashing Functions for Image and Video
Researcher: Arambam Neelima
Guide(s): Khumanthem Manglem Singh
Keywords: Computer Science
Computer Science Information Systems
Engineering and Technology
University: National Institute of Technology Manipur
Completed Date: 2016
Abstract: The idiom Seeing is believing can no longer hold true. In our daily life, we see things which newlineare not always what we think they usually like. Objects can be easily either inserted or newlineremoved. Digital media can be easily manipulated due to the advancement of the image newlineprocessing techniques. Distinguishing between the original and manipulated image is now a newlinemajor issue. A scheme is required to check the integrity of the digital multimedia. Another newlineissue is efficient indexing and retrieval for multimedia data. Traditional indexing methods are newlinetime consuming and inefficient. Huge amount of data are generated by the users due to the newlinegrowth of the Internet which leads to storing and transmission of large volume of digital data. newlineA scheme is required to manage large database, provide copyright protection, verification of newlinedata integrity and authentication. A perceptual hashing function is an effective solution to newlineprovide protection, integrity and authentication. Perceptual hashing function needs to be newlinerobust against geometric attacks and distinguish between perceptually different data. newline
Pagination: i-xix and 1-128
URI: http://hdl.handle.net/10603/430122
Appears in Departments:DEPARTMENT OF COMPUTER SCIENCE AND ENGINEERING

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_chapter1.pdf1.19 MBAdobe PDFView/Open
_chapter2.pdf1.02 MBAdobe PDFView/Open
_chapter3.pdf1.08 MBAdobe PDFView/Open
_chapter4.pdf2.01 MBAdobe PDFView/Open
_chapter5.pdf2 MBAdobe PDFView/Open
_chapter6.pdf103.88 kBAdobe PDFView/Open
_content.pdf99.89 kBAdobe PDFView/Open
_prelim.pdf1.11 MBAdobe PDFView/Open
_title.pdf25.17 kBAdobe PDFView/Open
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