NDLI: Histogram-based retrieval for encrypted JPEG images

Content Provider	IEEE Xplore Digital Library
Author	Xinpeng Zhang Hang Cheng
Copyright Year	2014
Description	Author affiliation: Sch. of Commun. & Inf. Eng., Shanghai Univ., Shanghai, China (Xinpeng Zhang; Hang Cheng)
Abstract	This work proposes a novel scheme for encrypted JPEG image retrieval, which includes image encryption and unsupervised/supervised retrieval phases. Using this scheme, the encrypted images are produced by permuting DCT coefficients, and transmitted to a database server. With an encrypted query image, although the server does not know the plaintext content, he may get the histogram at each frequency position. After calculating the distances between the histograms of encrypted query image and database image, the server can return the encrypted images with plaintext content similar to the query image according to integrated distances. If a training image set is available, the retrieval results can be also determined by conditional probabilities calculated from a supervised mechanism.
Starting Page	446
Ending Page	449
File Size	256643
Page Count	4
File Format	PDF
ISBN	9781479954018
e-ISBN	9781479954032
DOI	10.1109/ChinaSIP.2014.6889282
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-07-09
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Histograms Image encryption Histogram Databases Image retrieval Transform coding Feature extraction Encryption Servers
Content Type	Text
Resource Type	Article

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

Markov Process Based Retrieval for Encrypted JPEG Images

JIRL - A C++ Library for JPEG Compressed Domain Image Retrieval

An efficient Image Retrieval through DCT Histogram Quantization

Feature Extraction in Compressed Domain for Content Based Image Retrieval

Performance comparison of JPEG compressed domain image retrieval techniques

Markov process-based retrieval for encrypted JPEG images

An overview and evaluation of JPEG compressed domain retrieval techniques

Histogram intersection based image retrieval technique using relevance feedback

Fast JPEG Image Retrieval Based on AC Huffman Tables

Histogram-based retrieval for encrypted JPEG images

Similar Documents

Markov Process Based Retrieval for Encrypted JPEG Images

JIRL - A C++ Library for JPEG Compressed Domain Image Retrieval

An efficient Image Retrieval through DCT Histogram Quantization

Feature Extraction in Compressed Domain for Content Based Image Retrieval

Performance comparison of JPEG compressed domain image retrieval techniques

Markov process-based retrieval for encrypted JPEG images

An overview and evaluation of JPEG compressed domain retrieval techniques

Histogram intersection based image retrieval technique using relevance feedback

Fast JPEG Image Retrieval Based on AC Huffman Tables

Histogram-based retrieval for encrypted JPEG images