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Aligning codebooks for near duplicate image detection
2013
Multimedia tools and applications
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Also we introduce a novel image database specifically designed for the development and benchmarking of near duplicate image retrieval techniques. ...
The detection of near duplicate images in large databases, such as the ones of popular social networks, digital investigation archives, and surveillance systems, is an important task for a number of image ...
Part of this work has been performed in the project PANORAMA, co-funded by grants from Belgium, Italy, France, the Netherlands, the United Kingdom, and the ENIAC Joint Undertaking. ...
doi:10.1007/s11042-013-1470-4
fatcat:pirmvrf4hjbbrjegbcic2c463m
An Image Based Approach for Content Analysis in Document Collections
[chapter]
2013
Lecture Notes in Computer Science
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An approach based on comparison of statistical properties of local keypoint properties such as size orientation and scale showed comparable quality in content comparison while being computationally much ...
In order to incorporate spatial information into the bag of features approach we consider three methods of spatial verification. ...
For detection of near-duplicates in images and sub-images local descriptors were applied [14] . ...
doi:10.1007/978-3-642-41939-3_27
fatcat:vrb2pqj6czdhlod5sksuszkpha
Retrieval of Near Duplicate Images using K means and PSO Clustering
2016
Indian Journal of Science and Technology
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Objectives: The main objective of this paper is to retrieve Near Duplicate images from set of images similar to that of the user's query image. ...
Initially, around 20 images are taken and tested. Findings: In this paper, clustering of near duplicate images is done along with optimization technique i.e., PSO is used with k means clustering. ...
This can be given by the eqn. 5,
ENTROPY = (5) Retrieval of Near Duplicate Images using K means and PSO Clustering Correlation measures the dependency of grey levels of neighbouring pixels. ...
doi:10.17485/ijst/2016/v9is1/96012
fatcat:fq23sy4vx5exte7qc63lcl5fca
Quality Assurance for Document Image Collections in Digital Preservation
[chapter]
2012
Lecture Notes in Computer Science
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We use spatially distinctive local keypoints of contrast enhanced images and robust symmetric descriptor matching to calculate affine transformations for image registration. ...
Structural similarity of aligned images is used for quality assessment. ...
Acknowledgment The image data was kindly provided by the British Library. Details of the International Dunhang Project can be found at http://idp.bl.uk/ ...
doi:10.1007/978-3-642-33140-4_10
fatcat:o67wr47fdrhannpxagdsuqwthq
A System and Method for Employing Optimization Framework in Cloud Data Centers
2020
VOLUME-8 ISSUE-10, AUGUST 2019, REGULAR ISSUE
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We are recommending an effective approach Parallel Jaya algorithm that performs parallel processing of Jaya algorithm and genetic algorithm using multi-threading and shared memory for interchanging the ...
Data centers are evolving regularly in volume, difficulty and power usage. Efficient energy scheduling in the cloud data centers is a large and difficult research problem. ...
Numerous prevailing global features dependent on nearduplicate video retrieval approaches highlight the superior recognition of near-duplicate videos. ...
doi:10.35940/ijitee.d1007.0394s220
fatcat:vnzmoafttrhvradhmf23nfwfoa
Large Scale Near-Duplicate Image Retrieval via Patch Embedding
2019
2019 IEEE/CVF International Conference on Computer Vision Workshop (ICCVW)
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Large scale near-duplicate image retrieval (NDIR) relies on the Bag-of-Words methodology which quantizes local features into visual words. ...
(near-duplicate) patches generation. ...
Introduction Near-duplicate image retrieval (NDIR) problem aims to find the distorted versions in the large database for the giving image. ...
doi:10.1109/iccvw.2019.00359
dblp:conf/iccvw/YanZCBG19
fatcat:hxz6tzvh6bbolfukecclzmw4p4
Generating Descriptive Visual Words and Visual Phrases for Large-Scale Image Applications
2011
IEEE Transactions on Image Processing
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We apply the identified DVWs and DVPs in several applications including large-scale near-duplicated image retrieval, image search re-ranking, and object recognition. ...
The combination of DVW and DVP performs better than the state of the art in large-scale near-duplicated image retrieval in terms of accuracy, efficiency and memory consumption. ...
Near-duplicated image retrieval differs with common image retrieval in that the target images are usually obtained by editing the original image with changes in color, scale, or partial occlusion. ...
doi:10.1109/tip.2011.2128333
pmid:21421442
fatcat:en5mo4hr3zdxvmvbpl5y6qlhoe
Variable-Length Signature for Near-Duplicate Image Matching
2015
IEEE Transactions on Image Processing
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The proposed image signature is evaluated in two different applications, i.e., nearduplicate document image retrieval and near-duplicate natural image detection. ...
We propose a variable-length signature for near-duplicate image matching in this paper. ...
These images are used as queries, each of which has a near-duplicate in the database. ...
doi:10.1109/tip.2015.2400229
pmid:25667353
fatcat:uoixdvgtcrarlkou2vb27ouela
Near-duplicate keyframe retrieval by semi-supervised learning and nonrigid image matching
2011
ACM Transactions on Multimedia Computing, Communications, and Applications (TOMCCAP)
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Near-duplicate keyframe (NDK) retrieval techniques are critical to many real-world multimedia applications. ...
To facilitate an effective approach to NDK retrieval on large-scale data, we suggest an effective Multi-Level Ranking (MLR) scheme that effectively retrieves NDKs in a coarse-to-fine manner. ...
The work was in part supported by three grants: the Research Grants Council General Research Fund (CUHK4158/08E), MSRA Research Grant (FY09-RES-OPP-103), and the Singapore MOE AcRF Tier-1 research grant ...
doi:10.1145/1870121.1870125
fatcat:iq27vvj6gfe7vnoyc37zuupupm
A Benchmark Dataset to Study the Representation of Food Images
[chapter]
2015
Lecture Notes in Computer Science
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We exploit the UNICT-FD889 dataset for Near Duplicate Image Retrieval (NDIR) purposes by comparing three standard state-of-the-art image descriptors: Bag of Textons, PRICoLBP and SIFT. ...
It is the first food image dataset composed by over 800 distinct plates of food which can be used as benchmark to design and compare representation models of food images. ...
The first question we try to answer is: are we able to perform a near duplicate image retrieval (NDIR) in case of food images? ...
doi:10.1007/978-3-319-16199-0_41
fatcat:32aixqug3jbidpxnhczqlkbxca
High-confidence near-duplicate image detection
2012
Proceedings of the 2nd ACM International Conference on Multimedia Retrieval - ICMR '12
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In this paper, we propose two techniques for near-duplicate image detection at high confidence and large scale. ...
Second, we show that graph cut can be used for query expansion with a duplicity graph computed offline to substantially improve search quality. ...
SIFT [11] has been firmly established in the literature as the local feature of choice for a variety of image retrieval tasks, including near-duplicate image detection, we focus on system designs using ...
doi:10.1145/2324796.2324798
dblp:conf/mir/DongWCL12
fatcat:ox2eabongveypa2cglvy7l3jxm
Bundling features for large scale partial-duplicate web image search
2009
2009 IEEE Conference on Computer Vision and Pattern Recognition
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are then applied for large scale image indexing and retrieval. ...
In state-of-the-art image retrieval systems, an image is represented by a bag of visual words obtained by quantizing high-dimensional local image descriptors, and scalable schemes inspired by text retrieval ...
Introduction Our goal, given a query image, is to locate its near-and partial-duplicate images in a large corpus of web images. ...
doi:10.1109/cvpr.2009.5206566
dblp:conf/cvpr/WuKIS09
fatcat:i2r6ikn7q5ef3dbieaufk2pg4i
Bundling features for large scale partial-duplicate web image search
2009
2009 IEEE Conference on Computer Vision and Pattern Recognition
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are then applied for large scale image indexing and retrieval. ...
In state-of-the-art image retrieval systems, an image is represented by a bag of visual words obtained by quantizing high-dimensional local image descriptors, and scalable schemes inspired by text retrieval ...
Introduction Our goal, given a query image, is to locate its near-and partial-duplicate images in a large corpus of web images. ...
doi:10.1109/cvprw.2009.5206566
fatcat:jim4az2d7zfizg4gnau6gex24a
Scalable near identical image and shot detection
2007
Proceedings of the 6th ACM international conference on Image and video retrieval - CIVR '07
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The second approach uses local feature descriptors (SIFT) and for retrieval exploits techniques used in the information retrieval community to compute approximate set intersections between documents using ...
The first approach is based on global hierarchical colour histograms, using Locality Sensitive Hashing for fast retrieval. ...
Here we propose using a colour histogram combined with a spatial pyramid over the image to jointly encode global and local information. ...
doi:10.1145/1282280.1282359
dblp:conf/civr/ChumPIZ07
fatcat:gws7doolfrhp3gvkocd5xseob4
Scalable triangulation-based logo recognition
2011
Proceedings of the 1st ACM International Conference on Multimedia Retrieval - ICMR '11
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We locally group features in triples using multi-scale Delaunay triangulation and represent triangles by signatures capturing both visual appearance and local geometry. ...
We see large scale recognition as a sub-linear search problem where signatures of the query image are looked up in an inverted index structure of the class models. ...
Many logo instances found in natural images are far from near-duplicates as shown e.g. in Figure 1 . ...
doi:10.1145/1991996.1992016
dblp:conf/mir/KalantidisPTZA11
fatcat:fvghbgtzczaavasxefrbhna2qe
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