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CSEIT17239 | Large-Scale Image Clustering Based on Camera Fingerprints A Survey
International Journal of Scientific Research in Computer Science, Engineering and Information Technology © 2017 IJSRCSEIT
unpublished
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In this paper we have discussed what are different methods of clustering this large image data set when the number of classes (i.e., the number of cameras) is much higher than the average size of class ...
(i.e., the number of images acquired by each camera). ...
CLUSTERING OF IMAGE FINGERPRINT One of the principal works devoted to clustering camera fingerprints was accounted for in [8] , where each improved unique mark is dealt with as a random variable and Markov ...
fatcat:c6hp6gbhn5h6fe7ln54fwgcwdy
Accurate and Scalable Image Clustering Based On Sparse Representation of Camera Fingerprint
[article]
2018
arXiv
pre-print
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Experimental results on Dresden and Vision database show that our proposed framework can adapt well to both medium-scale and large-scale contexts, and outperforms state-of-the-art methods. ...
Clustering images according to their acquisition devices is a well-known problem in multimedia forensics, which is typically faced by means of camera Sensor Pattern Noise (SPN). ...
Numeric Results on Large-scale Datasets In practice, there exist large-scale contexts where a large number of images need to be clustered. ...
arXiv:1810.07945v2
fatcat:ac2niv4w7rhxnoz6ybx6qovpge
Image retrieval based on compressed camera sensor fingerprints
2015
2015 IEEE International Conference on Multimedia and Expo (ICME)
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Image retrieval based on compressed camera sensor fingerprints. ABSTRACT Image retrieval is the process of finding images from a large collection, satisfying a user-specified criterion. ...
We examine recent advances in compression of such fingerprints, which allow to address the previously unexplored image retrieval problem on large scales. ...
In this paper, we present a problem of large-scale image retrieval based on PRNU fingerprints. ...
doi:10.1109/icme.2015.7177454
dblp:conf/icmcs/ValsesiaCBM15
fatcat:rmm5uvnu4jct5avpncmsda5l7a
Architecture of image feature DB storage for mobile visual localization
2015
2015 17th International Conference on Advanced Communication Technology (ICACT)
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Our proposed structure of storage in database is able to efficiently handle such large amounts of image feature data. ...
These reconstructed sparse 3D-point clouds can then be used for accurate image-based localization by 3D-to-2D feature matching from database. ...
We expect that the range based on wireless fingerprint is about 5 meter and then make more accurate by using image features. ...
doi:10.1109/icact.2015.7224763
fatcat:2ykf3d3d65dm5oafsfndidvcsq
Advance Feature Extraction Technique for Digital Camera Identification
2015
International Journal of Computer Applications
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On the World Wide Web, a large amount of image content is distributed, owing to the rapid progress in digital camera technologies. ...
General Terms Digital camera identification, PRNU noise, the magnitude relations of clustered PRNU noise. ...
Based on brute-force search for scaled and/or cropped images this approach was enhanced. ...
doi:10.5120/20542-2909
fatcat:q2fsimperzhabc6pjnq52mw6nq
3D Fingerprint Phantoms
2014
2014 22nd International Conference on Pattern Recognition
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One of the critical factors prior to deployment of any large scale biometric system is to have a realistic estimate of its matching performance. ...
To overcome this limitation, use of a large number of 2D synthetic fingerprints for evaluating fingerprint systems had been proposed. ...
Yiying Tong of Michigan State University for his suggestions on mapping the 2D synthetic fingerprint image onto the 3D finger surface. ...
doi:10.1109/icpr.2014.128
dblp:conf/icpr/Arora0JP14
fatcat:3bdjqbayw5agdmmrc4xg7c7qqa
Large scale test of sensor fingerprint camera identification
2009
Media Forensics and Security
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This paper presents a large scale test of camera identification from sensor fingerprints. ...
To overcome the problem of acquiring a large number of cameras and taking the images, we utilized Flickr, an existing on-line image sharing site. ...
CONCLUSION We presented a large scale experimental evaluation of camera identification based on sensor fingerprint. ...
doi:10.1117/12.805701
dblp:conf/mediaforensics/GoljanFF09
fatcat:helcrv2n4vguxhgi6hqzf4pnty
Large-Scale Image Retrieval Based on Compressed Camera Identification
2015
IEEE transactions on multimedia
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Recent works showed that random projections can be used to significantly compress the PRNU, enabling operation on very large scales, previously impossible due to the size of the PRNU and to the complexity ...
In this paper, we propose efficient techniques for management and retrieval of images employing the PRNU, and test them on a database of 1174 cameras and half a million pictures downloaded from the Internet ...
In this paper, we address the following problem of large-scale image retrieval based on PRNU fingerprints. ...
doi:10.1109/tmm.2015.2455417
fatcat:rhpyqshxuvhnda3kci76klkl5i
K-unknown models detection through clustering in blind source camera identification
2018
IET Image Processing
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Under such a circumstance, the conventional source detection techniques fail to identify the correct source, and falsely map the image to one of the accessible camera models. ...
Source camera identification (SCI) is a forensic problem of mapping an image back to its source, often in relation to cybercrime. ...
Recently, Lin and Li [26] proposed an efficient large-scale image clustering technique based on camera fingerprints. ...
doi:10.1049/iet-ipr.2017.1142
fatcat:rhqfafa6znaalgd5cuzct7jcba
Image Analysis Approaches to Improve the Thin Layer Chromatography – Chemometric-Based Investigations of Natural Extracts
2017
Studia Universitatis Babe?-Bolyai Chemia
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Moreover, important steps as appropriate color scale selection and image processing/analysis procedures were pointed out based on the obtained results. ...
The large variability of these samples requires powerful image acquisition devices, multivariate image processing techniques and advanced chemometric methods to facilitate the interpretation of the chromatographic ...
based on their HPTLC fingerprints. ...
doi:10.24193/subbchem.2017.2.05
fatcat:i7k6jydllfhefhu3zgnenzpvnm
Camera Fingerprint: A New Perspective for Identifying User's Identity
[article]
2016
arXiv
pre-print
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The proposed framework, called User Camera Identification (UCI), is based on camera fingerprints, which takes fully into account the problems of multiple cameras and reposting behaviors. ...
The underlying assumption is that multiple accounts belonging to the same person contain the same or similar camera fingerprint information. ...
As expected, all the camera fingerprints based user identification methods work well on all datasets. ...
arXiv:1610.07728v1
fatcat:5q6b6zcoxzezba7laklucujouu
Contactless Fingerprint Recognition Using Deep Learning—A Systematic Review
2022
Journal of Cybersecurity and Privacy
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Contactless fingerprint identification systems have been introduced to address the deficiencies of contact-based fingerprint systems. ...
A number of studies have been reported regarding contactless fingerprint processing, including classical image processing, the machine-learning pipeline, and a number of deep-learning-based algorithms. ...
Large-scale datasets: Though deep-learning approaches have already exceeded human performance on some in-the-wild, large-scale datasets, these datasets do not meet the requirements of real-world, high-security ...
doi:10.3390/jcp2030036
fatcat:ugz24t4cxffwbomrzl2cyyxq6m
Biometric Recognition: How Do I Know Who You Are?
[chapter]
2005
Lecture Notes in Computer Science
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• Apply text-based search to image retrieval -Group key points from all the images into a number of clusters -Each cluster is a visual word -Bag-of-words representation for images • Need to cluster billions ...
Large Scale Civil Identification
Large Scale Civil Identification
Bank in Malawi uses fingerprints for micro-loans
• 500 million citizens of India have no definitive
identity, excluding them from ...
doi:10.1007/11553595_3
fatcat:fm34cfoeifc7hir4fd4u3qk2ye
Towards Seamless Authentication for Zoom-Based Online Teaching and Meeting
[article]
2020
arXiv
pre-print
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Our method is based on PRNU (Photo Response Non Uniformity)-based camera authentication, which can authenticate the camera of a device used in a Zoom meeting without requiring any assistance from the participants ...
Results from a small-scale experiment validates the proposed method. ...
So far, this PRNU method has been used for camera verification, camera identification, image/video clustering, etc. ...
arXiv:2005.10553v1
fatcat:erqbflybs5a37df3gb5plv4lvy
Object Reacquisition and Tracking in Large-Scale Smart Camera Networks
2007
2007 First ACM/IEEE International Conference on Distributed Smart Cameras
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The proposed approach works on spatially separated, uncalibrated, non-overlapping cameras, is highly scalable and solely based on appearance-based optical features. ...
In this paper, we present our work on feature based object reidentification performed on autonomous embedded smart cameras and applied to traffic scenarios. ...
OBJECT FINGERPRINTING AND REACQUISITION As former mentioned, the entire object fingerprinting and reidentification approach presented in this paper is solely based on local appearance features. ...
doi:10.1109/icdsc.2007.4357519
dblp:conf/icdsc/ArthLB07
fatcat:yep4giaopzfdxomz5333jl2yx4
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