NDLI: Perceptual image hash function via associative memory-based self-correcting

Content Provider	IET Digital Library
Author	Li, Yuenan Wang, Dongdong Wang, Jingru
Abstract	Paralleling with the revolutionary development of the Internet, there has been increasing concern about the copyright infringement of digital media. A central problem in copyright protection is to accurately and efficiently identify the illegal copies of copyrighted contents. Perceptual hash function, which summarises the perceptual characteristics of digital media to a short digest, is a low-cost solution to this problem. Owing to the easy-to-manipulate nature of digital media, a major challenge in designing perceptual hash function is to achieve the robustness against distortion. To tackle this problem, an associative memory-based hash function is introduced. The proposed work repairs the distortions on local image structures via associative memory-based de-noising, in the hope of simulating the self-correcting mechanism in human memory. The shape invariant descriptors of de-noised structures are then encoded to binary bits. Experimental results confirm that the proposed work outperforms representative algorithms, and it can achieve an equal error rate of 3.30 × 10 − 3 in content identification with only 80 bits.
Starting Page	208
Ending Page	210
Page Count	3
ISSN	00135194
Volume Number	54
e-ISSN	1350911X
Issue Number	Issue 4, Feb (2018)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/el/54/4
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/el.2017.4189
Journal	Electronics Letters
Publisher Date	2018-01-15
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Associative Memory-based Denoising Binary Bits Computer Vision And Image Processing Technique Content-addressable Storage Copy Protection Copyright Infringement Copyright Protection Cryptography Data Security Digital Media File Organisation Human Memory Image Denoising Internet Optical, Image And Video Signal Processing Perceptual Characteristic Perceptual Image Hash Function Revolutionary Development Self-correcting Mechanism Shape Invariant Descriptor
Content Type	Text
Resource Type	Article
Subject	Electrical and Electronic Engineering

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

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