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MyFinder

Xin Yang, Qiang Zhu, Kwang-Ting Cheng
2009 Proceedings of the seventeen ACM international conference on Multimedia - MM '09  
Efficient near-duplicate detection is one of the required technologies for various applications.  ...  In this paper, we introduce MyFinder, an image near-duplicate detection system for large image collections.  ...  These near-duplicates, along with their source images and remaining images from CGFA, were included in the gallery to create a dataset of 13115 images in total.  ... 
doi:10.1145/1631272.1631495 dblp:conf/mm/YangZC09 fatcat:z4cpl3cklbh6ljjqo6xfm2lheu

Efficient coarse-to-fine near-duplicate image detection in riemannian manifold

Ligang Zheng, Guoping Qiu, Jiwu Huang
2012 2012 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)  
This paper presents an efficient coarse-to-fine strategy for near duplicate image detection in a Riemannian space.  ...  At the coarse level, we use the faster but less accurate log-Euclidean Riemannian metric to search the entire database to retrieve a subset of the images that are likely to contain the near duplicates  ...  ., locality sensitive hashing (LSH) [9] can used to enhance search efficiency. For internet scale near-duplicate image detection, efficiency is very important.  ... 
doi:10.1109/icassp.2012.6288048 dblp:conf/icassp/ZhengQH12 fatcat:byi7gifxojfrzcvlhmdqai2du4

Dataset and Case Studies for Visual Near-Duplicates Detection in the Context of Social Media [article]

Hana Matatov, Mor Naaman, Ofra Amir
2022 arXiv   pre-print
In this paper, we address this need by building a dataset of social media images and evaluating visual near-duplicates retrieval methods based on image retrieval and several advanced visual feature extraction  ...  We demonstrate the potential of this method in two case studies: one that shows the value of creating systems supporting manual content review, and another that demonstrates the usefulness of automatic  ...  Of course, a query image may have several near-duplicates in the index, with different dates of publication.  ... 
arXiv:2203.07167v1 fatcat:rcm2xhohaffzdihjw4qlcavyqe

Fast Convex Layers Algorithm for Near-Duplicate Image Detection

Smiljan Šinjur, Damjan Zazula, Borut Žalik
2012 Informatica  
A computational geometric approach to near-duplicate image detection stems from these features. Similarity of feature vectors of given images is assessed by correlation coefficient.  ...  This way, all images with closely related structure and contents can be retrieved from large databases of images quickly and efficiently.  ...  Efficiency of Near-Duplicate Detection on Translated, Rotated, and Scaled Images Our first search was constructed to establish specificity for a selected reference feature vector in our film database.  ... 
doi:10.15388/informatica.2012.379 fatcat:jrph4penwbbdzkv36q3ngivnk4

Photo Based Location Information Services Using Encryption Free Framework with Duplicate Checking

M. Chandraleka, D. Anitha
2020 International Journal of Scientific Research in Computer Science Engineering and Information Technology  
In proposed thefeature extraction with CNN algorithm help to collect the unique and accurate features from input image and also used Duplicate Detection process to detect images with same features present  ...  within same index.In proposed approach user transform the extracted image feature x into y on the user server and sends it to the public server.With the transformation , the effectiveness of the original  ...  And also used Duplicate Detection process with Map-Reduce algorithm to detect images with same features present within same index using mapper function and eliminate the repeated image using reduce function  ... 
doi:10.32628/cseit206532 fatcat:ojghkfh7ijfx7m2tdstsbtvrri

Scalable near identical image and shot detection

Ondřej Chum, James Philbin, Michael Isard, Andrew Zisserman
2007 Proceedings of the 6th ACM international conference on Image and video retrieval - CIVR '07  
This paper proposes and compares two novel schemes for near duplicate image and video-shot detection.  ...  The requirements for near-duplicate images vary according to the application, and we address two types of near duplicate definition: (i) being perceptually identical (e.g. up to noise, discretization effects  ...  Efficient image representations Most approaches to near-duplicate detection share a similar pattern.  ... 
doi:10.1145/1282280.1282359 dblp:conf/civr/ChumPIZ07 fatcat:gws7doolfrhp3gvkocd5xseob4

Exploiting Multimedia in Creating and Analysing Multimedia Web Archives

Jonathon Hare, David Dupplaw, Paul Lewis, Wendy Hall, Kirk Martinez
2014 Future Internet  
In many ways, the web is the greatest resource ever created by human-kind. However, due to the dynamic and distributed nature of the web, its content changes, appears and disappears on a daily basis.  ...  Figure 3 . 3 Process for efficiently finding near-duplicates of images (or video frames) by constructing a duplicate graph from the sketches of local features. Figure 4 4 Figure 4.  ...  However, modern image analysis and indexing techniques allow visual duplicates to be detected efficiently through the use of content-based image feature indexing [36, 37] .  ... 
doi:10.3390/fi6020242 fatcat:hnusw44irfe2nf5v6jvgqta2t4

Clustering near-duplicate images in large collections

Jun Jie Foo, Justin Zobel, Ranjan Sinha
2007 Proceedings of the international workshop on Workshop on multimedia information retrieval - MIR '07  
We also show -via experimentation with real examples -that our approach presents a viable solution for clustering near-duplicate images on the Web.  ...  Near-duplicate images introduce problems of redundancy and copyright infringement in large image collections.  ...  defeats simple image duplicate detection methods.  ... 
doi:10.1145/1290082.1290089 dblp:conf/mir/FooZS07 fatcat:4wr6hqbxrfdcxjulnpcffy2pxm

A Perceptual Matching based Deduplication Scheme using Gabor-ORB Filters for Medical Images

Sonal Ayyappan, C Lakshmi
2020 International Journal of Advanced Computer Science and Applications  
This paper proposes a novel method of perceptual matching and selection of relevant MRI images by using a deduplicating technique of combining Gabor filter with Oriented FAST and Rotated BRIEF (ORB) feature  ...  By the very nature of medical imaging, a large amount of data is generated per imaging or scanning session.  ...  This helped to detect the near duplicate images and those were hashed based on histogram distance [14] .  ... 
doi:10.14569/ijacsa.2020.0111292 fatcat:4jhslu2uuzcw3oxojkk3h3qaba

To Keep or not to Keep

Andrea Ceroni, Vassilios Solachidis, Claudia Niederée, Olga Papadopoulou, Nattiya Kanhabua, Vasileios Mezaris
2015 Proceedings of the 5th ACM on International Conference on Multimedia Retrieval - ICMR '15  
In our evaluation, which is based on large real-world personal photo collections with overall more than 18,000 images, we show that our method outperforms state-of-the-art photo selection methods.  ...  When selecting important photos from a personal photo collection -e.g. for creating an enjoyable sub-collection for revisiting or preservation -photos are not considered in isolation.  ...  Near-Duplicate Detection. Photographers can shoot a scene multiple times, which results in creating near-duplicate images that can be evidence of the importance of the scene.  ... 
doi:10.1145/2671188.2749372 dblp:conf/mir/CeroniSNPKM15 fatcat:zwtonki2bjcmbhxuynflk2jrim

VidCat: an image and video analysis service for personal media management

Lee Begeja, Eric Zavesky, Zhu Liu, David Gibbon, Raghuraman Gopalan, Behzad Shahraray, Cees G. M. Snoek, Lyndon S. Kennedy, Reiner Creutzburg, David Akopian, Dietmar Wüller, Kevin J. Matherson (+2 others)
2013 Multimedia Content and Mobile Devices  
Evaluations for the effectiveness of the copy detection and face recognition algorithms on standard datasets are also discussed.  ...  Finally, the system includes a set of application programming interfaces (API's) allowing content to be uploaded, analyzed, and retrieved on any client with simple HTTP-based methods as demonstrated with  ...  in various video search and near duplicate image detection tasks.  ... 
doi:10.1117/12.2008528 fatcat:wbh733alifgcvalphrctrpfjqa

Near-Duplicate Video Retrieval with Deep Metric Learning

Giorgos Kordopatis-Zilos, Symeon Papadopoulos, Ioannis Patras, Yiannis Kompatsiaris
2017 2017 IEEE International Conference on Computer Vision Workshops (ICCVW)  
This work addresses the problem of Near-Duplicate Video Retrieval (NDVR).  ...  representations in tandem with a Deep Metric Learning (DML) framework with two fusion variations, trained to approximate an embedding function for accurate distance calculation between two near-duplicate  ...  Color signatures are employed to detect near-duplicate videos with high confidence and to filter out very dissimilar videos.  ... 
doi:10.1109/iccvw.2017.49 dblp:conf/iccvw/Kordopatis-Zilos17 fatcat:cdafsw7nhje63erwlvhn6jtoua

Near-Duplicate Video Retrieval With Deep Metric Learning

Giorgos Kordopatis-Zilos, Symeon Papadopoulos, Ioannis Patras, Yiannis Kompatsiaris
2017 Zenodo  
This work addresses the problem of Near-Duplicate Video Retrieval (NDVR).  ...  representations in tandem with a Deep Metric Learning (DML) framework with two fusion variations, trained to approximate an embedding function for accurate distance calculation between two near-duplicate  ...  Color signatures are employed to detect near-duplicate videos with high confidence and to filter out very dissimilar videos.  ... 
doi:10.5281/zenodo.852351 fatcat:sk7lersbmjcatdigp4qhxaw5aq

Do We Train on Test Data? Purging CIFAR of Near-Duplicates [article]

Björn Barz, Joachim Denzler
2020 Journal of Imaging   accepted
To eliminate this bias, we provide the "fair CIFAR" (ciFAIR) dataset, where we replaced all duplicates in the test sets with new images sampled from the same domain.  ...  However, we find that 3.3% and 10% of the images from the test sets of these datasets have duplicates in the training set.  ...  that can result in near-duplicate images.  ... 
doi:10.3390/jimaging6060041 pmid:34460587 pmcid:PMC8321059 arXiv:1902.00423v2 fatcat:zdyeoxsawfd67aiyjkffqc3b4m

On robust image spam filtering via comprehensive visual modeling

Jialie Shen, Robert H. Deng, Zhiyong Cheng, Liqiang Nie, Shuicheng Yan
2015 Pattern Recognition  
It can facilitate more accurate and robust spam classification process with very limited amount of initial training examples.  ...  Using three public available test collections, the proposed system is empirically compared with the state-of-the-art techniques.  ...  Several near-duplicate detection based image spam filters have been developed. Wang et al.  ... 
doi:10.1016/j.patcog.2015.02.027 fatcat:7bxwrdqm4zggncvpn3dj7ifdwi
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