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Rotation and translation covariant match kernels for image retrieval
2015
Computer Vision and Image Understanding
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This strategy is effective for image search, as shown by experiments performed on standard benchmarks for image and particular object retrieval, namely Holidays and Oxford buildings. ...
Our technique is compatible with generic match kernel formulation and can be employed along with several popular encoding methods, in particular Bag-of-Words, VLAD and the Fisher vector. ...
This work was supported by ERC grant VIAMASS no. 336054 and ANR project Fire-ID. ...
doi:10.1016/j.cviu.2015.06.007
fatcat:lfp7homasbbbrpzmmyke25sy54
Cross-View Image Geo-localization
[chapter]
2016
Advances in Computer Vision and Pattern Recognition
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Existing approaches predict the location of a query image by matching it to a database of georeferenced photographs. ...
In this paper, we introduce a cross-view feature translation approach to greatly extend the reach of image geolocalization methods. ...
Government is authorized to reproduce and distribute reprints for Governmental purposes notwithstanding any copyright annotation thereon. ...
doi:10.1007/978-3-319-25781-5_4
fatcat:wspw6crodbbkdjuhjbj446t73u
Cross-View Image Geolocalization
2013
2013 IEEE Conference on Computer Vision and Pattern Recognition
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Existing approaches predict the location of a query image by matching it to a database of georeferenced photographs. ...
In this paper, we introduce a cross-view feature translation approach to greatly extend the reach of image geolocalization methods. ...
Government is authorized to reproduce and distribute reprints for Governmental purposes notwithstanding any copyright annotation thereon. ...
doi:10.1109/cvpr.2013.120
dblp:conf/cvpr/LinBH13
fatcat:dqftuzefnnew5h2ov57xht4xbi
A Pyramidal Approach to Content-Based Image Retrieval
2007
Geometric Modeling and Imaging (GMAI '07)
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In this paper, two methods for a better content-based image retrieval (CBIR) are presented, namely, the use of recognition kernel and locales. ...
It is shown that the deployment of the recognition kernel and locales in a pyramidal (multiresolution) framework delivers good retrieval results. ...
Performing a full GHT search for all possible rotation, scale and translation parameters is computationally very expensive and inaccurate. Such a search is not feasible for large databases. ...
doi:10.1109/gmai.2007.8
fatcat:j7ctpe6kpvffdcdgpe2marc7ti
Robust video fingerprinting based on affine covariant regions
2008
Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing
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For reliable matching of the local fingerprints, only spatio-temporally consistent matches are taken into account. ...
For the region detection, the maximally stable extremal region (MSER) detector which is considered to have high repeatability and low complexity is used. ...
Such approach has been used in the image retrieval literatures [6] , [7] , and is recently applied to video fingerprinting [8] . ...
doi:10.1109/icassp.2008.4517840
dblp:conf/icassp/LeeY08
fatcat:gz7mbstcgvbchd3xkgqpko56ze
Dimensionality reduction through PCA over SIFT and SURF descriptors
2012
2012 IEEE 11th International Conference on Cybernetic Intelligent Systems (CIS)
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We evaluate such low-dimensional feature vectors in a matching application, as well as their distinctiveness in an image retrieval application. ...
One of the constant challenges in image analysis is to improve the process for obtaining distinctive characteristics. ...
ACKNOWLEDGMENT The authors are thankful to FAPESP, CNPq, FAPEMIG and CAPES for their financial support. ...
doi:10.1109/cis.2013.6782160
fatcat:cqwk2dbobbhc7ni5zapezsg26u
Understanding and Improving Kernel Local Descriptors
[article]
2018
arXiv
pre-print
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We propose a multiple-kernel local-patch descriptor based on efficient match kernels from pixel gradients. ...
It combines two parametrizations of gradient position and direction, each parametrization provides robustness to a different type of patch mis-registration: polar parametrization for noise in the patch ...
The whitening for our descriptor is learned on the corresponding training part of PT for each combination.Patch Verification mAP [%] Image Matching mAP [%] Patch Retrieval mAP [%] 0
20
40
60
80 100 ...
arXiv:1811.11147v1
fatcat:j2b2slfn35effbckylagiaje34
PlaneLoc2: Indoor Global Localization Using Planar Segments and Passive Stereo Camera
2022
IEEE Access
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INDEX TERMS Simultaneous localization and mapping, artificial neural networks, stereo image processing. ...
Moreover, we introduce a novel view-based segment map and a novel pose retrieval procedure that considers the uncertainty of features to efficiently use the geometric constraints provided by them. ...
It is set to include 90% of all correct matches. • τ svd,t and τ svd,r -a minimum value of a singular value for translational and rotational part Jacobians in the gradient • τ e -a maximum value of residual ...
doi:10.1109/access.2022.3185732
fatcat:zhtiumz745ae3pguh5fmqsy5pa
Local Zernike Moments Vector for Content-Based Queries in Image Data Base
2000
IAPR International Workshop on Machine Vision Applications
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This approach is based on the quasi-invariant theory applied to perspective transformations and is an extension of a standard point to point matching between two images. ...
vision tasks as mosai'cing, 3D-scene reconstruction or more recently in applications like content-based image retrieval systems. ...
Matching and content-based image retrieval We have evaluated the capabilities of the proposed characterization for simple matching tasks. ...
dblp:conf/mva/BigorgneAD00
fatcat:lqtgddjvvvenjbcnyp5ekizuxu
Local Feature Detectors, Descriptors, and Image Representations: A Survey
[article]
2016
arXiv
pre-print
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In this paper, we review local features and image representations for image retrieval. ...
In addition, recent deep learning-based approaches for image retrieval are briefly reviewed. ...
In this paper, we review local features and image representations for image retrieval. ...
arXiv:1607.08368v1
fatcat:g3qm64yonvcd5fe5sw4zbn3mo4
Convolutional Patch Representations for Image Retrieval: an Unsupervised Approach
[article]
2016
arXiv
pre-print
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Our paper focuses on this latter setting and explores several methods for learning patch descriptors without supervision with application to matching and instance-level retrieval. ...
We also introduce a new dataset called RomePatches, which allows to simultaneously study descriptor performance for patch and image retrieval. ...
This work was partially supported by projects "Allegro" (ERC), "Titan" (CNRS-Mastodon), "Macaron" (ANR-14-CE23-0003-01), the Moore-Sloan Data Science Environment at NYU and a Xerox Research Center Europe ...
arXiv:1603.00438v1
fatcat:ukala6eu25aclkxt7kfyx5size
Convolutional Patch Representations for Image Retrieval: An Unsupervised Approach
2016
International Journal of Computer Vision
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Our paper focuses on this latter setting and explores several methods for learning patch descriptors without supervision with application to matching and instance-level retrieval. ...
We also introduce a new dataset called RomePatches, which allows to simultaneously study descriptor performance for patch and image retrieval. ...
This work was partially supported by projects "Allegro" (ERC), "Titan" (CNRS-Mastodon), "Macaron" (ANR-14-CE23-0003-01), the Moore-Sloan Data Science Environment at NYU and a Xerox Research Center Europe ...
doi:10.1007/s11263-016-0924-3
fatcat:wd6ff5nrtzevlnbsxws3ck3r34
An Improved Learning Framework for Covariant Local Feature Detection
[article]
2018
arXiv
pre-print
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We show that using these additional constraints one can learn to detect novel and stable features without using pre-determined features for training. ...
Recent learning formulations use the covariant constraint in their loss function to learn covariant detectors. ...
Structure From Motion(SFM) [15] , image stitching [3] , image retrieval [20] and image registration [23] . ...
arXiv:1811.00438v1
fatcat:omwrsb3bxvhxjljho3qzxrlzpm
Combining Radiology Images and Clinical Metadata for Multimodal Medical Case-Based Retrieval
[chapter]
2017
Cloud-Based Benchmarking of Medical Image Analysis
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A content-based retrieval method for medical cases that uses both textual and visual features is presented. ...
The VISCERAL Retrieval Benchmark organized a medical case-based retrieval algorithm evaluation using multimodal (text and visual) data from radiology reports. ...
Acknowledgements This work was supported by the EU in FP7 through VISCERAL (318068), Khresmoi (257528) and the Swiss National National Foundation (SNF grant 205320-141300/1). ...
doi:10.1007/978-3-319-49644-3_13
fatcat:sqpzq43z3vcjbpfyfmfnq7f2pi
Supervised Machine Learning Based Medical Image Annotation and Retrieval in ImageCLEFmed 2005
[chapter]
2006
Lecture Notes in Computer Science
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In this work, we investigate a supervised learning approach to associate low-level global image features with their high level visual and/or semantic categories for image annotation and retrieval. ...
Experimental results of both image annotation and retrieval are reported in this paper. ...
These features are invariant under rotation, scale, translation, and reflection of images and have been widely used in a number of applications due to their invariance properties. ...
doi:10.1007/11878773_76
fatcat:xuyb7zwjuvhfro7i32tyf3svfe
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