Sciweavers

54 search results - page 1 / 11
» A classifier design for detecting Image manipulations
Sort
View
ICIP
2004
IEEE
14 years 6 months ago
A classifier design for detecting Image manipulations
In this paper we present a framework for digital image forensics. Based on the assumptions that some processing operations must be done on the image before it is doctored, and an ...
Ismail Avcibas, Sevinc Bayram, Nasir D. Memon, Mah...
JEI
2006
125views more  JEI 2006»
13 years 4 months ago
Image manipulation detection
Abstract. Techniques and methodologies for validating the authenticity of digital images and testing for the presence of doctoring and manipulation operations on them has recently ...
Sevinc Bayram, Ismail Avcibas, Bülent Sankur,...
DAGM
2007
Springer
13 years 8 months ago
Greedy-Based Design of Sparse Two-Stage SVMs for Fast Classification
Cascades of classifiers constitute an important architecture for fast object detection. While boosting of simple (weak) classifiers provides an established framework, the design of...
Rezaul Karim, Martin Bergtholdt, Jörg H. Kapp...
TIFS
2010
144views more  TIFS 2010»
13 years 3 months ago
Forensic detection of image manipulation using statistical intrinsic fingerprints
—As the use of digital images has increased, so has the means and the incentive to create digital image forgeries. Accordingly, there is a great need for digital image forensic t...
Matthew C. Stamm, K. J. Ray Liu
FPGA
2009
ACM
343views FPGA» more  FPGA 2009»
13 years 11 months ago
Fpga-based face detection system using Haar classifiers
This paper presents a hardware architecture for face detection based system on AdaBoost algorithm using Haar features. We describe the hardware design techniques including image s...
Junguk Cho, Shahnam Mirzaei, Jason Oberg, Ryan Kas...