Filters








12,267 Hits in 5.5 sec

Aligning codebooks for near duplicate image detection

Sebastiano Battiato, Giovanni Maria Farinella, Giovanni Puglisi, Daniele Ravì
2013 Multimedia tools and applications  
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]

Reinhold Huber-Mörk, Alexander Schindler
2013 Lecture Notes in Computer Science  
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

G. Kalaiarasi, K. K. Thyagharajan
2016 Indian Journal of Science and Technology  
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]

Reinhold Huber-Mörk, Alexander Schindler
2012 Lecture Notes in Computer Science  
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  
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

Shangpeng Yan, Xiaoyun Zhang, Li Chen, Wenbo Bao, Zhiyong Gao
2019 2019 IEEE/CVF International Conference on Computer Vision Workshop (ICCVW)  
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

Shiliang Zhang, Qi Tian, Gang Hua, Qingming Huang, Wen Gao
2011 IEEE Transactions on Image Processing  
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

Li Liu, Yue Lu, Ching Y. Suen
2015 IEEE Transactions on Image Processing  
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

Jianke Zhu, Steven C. H. Hoi, Michael R. Lyu, Shuicheng Yan
2011 ACM Transactions on Multimedia Computing, Communications, and Applications (TOMCCAP)  
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]

Giovanni Maria Farinella, Dario Allegra, Filippo Stanco
2015 Lecture Notes in Computer Science  
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

Wei Dong, Zhe Wang, Moses Charikar, Kai Li
2012 Proceedings of the 2nd ACM International Conference on Multimedia Retrieval - ICMR '12  
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

Zhong Wu, Qifa Ke, Michael Isard, Jian Sun
2009 2009 IEEE Conference on Computer Vision and Pattern Recognition  
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

Zhong Wu, Qifa Ke, M. Isard, Jian Sun
2009 2009 IEEE Conference on Computer Vision and Pattern Recognition  
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

Ondřej Chum, James Philbin, Michael Isard, Andrew Zisserman
2007 Proceedings of the 6th ACM international conference on Image and video retrieval - CIVR '07  
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

Yannis Kalantidis, Lluis Garcia Pueyo, Michele Trevisiol, Roelof van Zwol, Yannis Avrithis
2011 Proceedings of the 1st ACM International Conference on Multimedia Retrieval - ICMR '11  
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
« Previous Showing results 1 — 15 out of 12,267 results