NDLI: A DCT-based ownership identification method with gray-level and colorful signatures

Please wait, while we are loading the content...

A novel feature-based tracking approach to the detection, localization, and 3-D reconstruction of internal defects in hardwood logs using computer tomography

A novel look-ahead optimization strategy for trie-based approximate string matching

Fuzzy histograms, weak fuzzification and accumulation of periodic quantities : Application in two accumulation-based image processing methods

Automatic name extraction from degraded document images

A DCT-based ownership identification method with gray-level and colorful signatures

Efficient median based clustering and classification techniques for protein sequences

Decomposition methodology for classification tasks: a meta decomposer framework

A review on Gabor wavelets for face recognition

Pattern Analysis & Applications : Volume 9, Issue 1, May 2006

Pattern Analysis & Applications : Volume 8

Pattern Analysis & Applications : Volume 7

Pattern Analysis & Applications : Volume 6

Pattern Analysis & Applications : Volume 5

Pattern Analysis & Applications : Volume 4

Pattern Analysis & Applications : Volume 3

Pattern Analysis & Applications : Volume 2

Pattern Analysis & Applications : Volume 1

A DCT-based ownership identification method with gray-level and colorful signatures

Content Provider	Springer Nature Link
Author	Tu, Shu Fen Hsu, Ching Sheng
Copyright Year	2006
Abstract	In this paper, we propose an ownership identification method based on discrete cosine transformation (DCT). The copyright owner can select a gray-level or colorful image to be an ownership statement, which is used as a claim to the ownership of his/her work. Unlike traditional watermarking schemes, the ownership statement is not embedded into the image to be protected. Instead, our method will construct an ownership share for the author according to the feature of the original image and the ownership statement. The feature map of the original image is composed of DC coefficients of different DCT blocks. When piracy happens, the author can show his ownership share to reveal the ownership statement to prove his/her copyright. Note that the size of the ownership statement is not restricted to being smaller than that of the host image. In addition, multiple ownership statements can be registered for a single image without destroying each other. The experimental results will show the robustness of our scheme against several common attacks. Finally, we will give some discussions and comparisons with other researchers’ study.
Starting Page	229
Ending Page	242
Page Count	14
File Format	PDF
ISSN	14337541
Journal	Pattern Analysis & Applications
Volume Number	9
Issue Number	2-3
e-ISSN	1433755X
Language	English
Publisher	Springer-Verlag
Publisher Date	2006-08-23
Publisher Place	London
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Ownership identification Copyright protection scheme Discrete cosine transform Pattern Recognition
Content Type	Text
Resource Type	Article
Subject	Artificial Intelligence Computer Vision and Pattern Recognition

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

Efficient Learning of Linear Predictors for Template Tracking

Correction to DCT-Based Iris Recognition [Apr 07 586-595]

Regressing Local to Global Shape Properties for Online Segmentation and Tracking

DCT-Based Iris Recognition

Illumination normalization using fuzzy filter in DCT domain for face recognition

A digital audio watermarking scheme using selective mid band DCT coefficients and energy threshold

Face Recognition Using the Discrete Cosine Transform

Camera model identification based on DCT coefficient statistics

Speaker recognition utilizing distributed DCT-II based Mel frequency cepstral coefficients and fuzzy vector quantization

A DCT-based ownership identification method with gray-level and colorful signatures

Similar Documents

Efficient Learning of Linear Predictors for Template Tracking

Correction to DCT-Based Iris Recognition [Apr 07 586-595]

Regressing Local to Global Shape Properties for Online Segmentation and Tracking

DCT-Based Iris Recognition

Illumination normalization using fuzzy filter in DCT domain for face recognition

A digital audio watermarking scheme using selective mid band DCT coefficients and energy threshold

Face Recognition Using the Discrete Cosine Transform

Camera model identification based on DCT coefficient statistics

Speaker recognition utilizing distributed DCT-II based Mel frequency cepstral coefficients and fuzzy vector quantization

A DCT-based ownership identification method with gray-level and colorful signatures