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Opponent Color And Curvelet Transform Based Image Retrieval System Using Genetic Algorithm

Yesubai Rubavathi Charles, Ravi Ramraj
2015 Zenodo  
Extensive and comparative experiments have been conducted to evaluate proposed framework for content based image retrieval on two databases, i.e., COIL-100 and Corel-1000.  ...  To address this concern, genetic algorithm combined with relevance feedback is embedded to reduce semantic gap and retrieve user's preference images.  ...  provide feedback on the rank of the images and uses the feedback to make an improved set of images.  ... 
doi:10.5281/zenodo.1110855 fatcat:brbdlrlpwvbftenhvblwsjqery

Unsupervised graph-based rank aggregation for improved retrieval

Icaro Cavalcante Dourado, Daniel Carlos Guimarães Pedronette, Ricardo da Silva Torres
2019 Information Processing & Management  
The method follows an unsupervised scheme, which is independent of how the isolated ranks are formulated.  ...  We reformulate the ad-hoc retrieval problem as a document retrieval based on fusion graphs, which we propose as a new unified representation model capable of merging multiple ranks and expressing inter-relationships  ...  Kaur et al. (2017) proposed a metaheuristic approach, based on genetic algorithm (GA), that optimizes the rank aggregation problem for search engines.  ... 
doi:10.1016/j.ipm.2019.03.008 fatcat:v2whndfz3zcj7g3ci4sk3cbyde

2019 Index IEEE Transactions on Geoscience and Remote Sensing Vol. 57

2019 IEEE Transactions on Geoscience and Remote Sensing  
and Hanssen, R.F., Incorporating Temporary Coherent Li, X., Yeo, T.S., Yang, Y., Chi, C., Zuo, F., Hu, X., and Pi, Y., Refo-cusing and Zoom-In Polar Format Algorithm for Curvilinear Spotlight SAR Imaging  ...  ., and Drake, V.A., Insect Biological Parameter Estimation Based on the Invariant Target Parameters of the Scattering Matrix; TGRS Aug. 2019 6212-6225 Hu, C., see Zhang, M., TGRS Sept. 2019 6666-6674  ...  ., +, TGRS Dec. 2019 9960-9975 Genetic algorithms Dense Stereo Matching Based on Multiobjective Fitness Function-A Genetic Algorithm Optimization Approach for Stereo Correspondence.  ... 
doi:10.1109/tgrs.2020.2967201 fatcat:kpfxoidv5bgcfo36zfsnxe4aj4

A Survey on Content Based Image Retrieval Using Convolutional Neural Networks

2020 International Journal of Advanced Trends in Computer Science and Engineering  
It also focuses on content based image retrieval technique (CBIR), with an unsupervised learning method using convolutional Neural Networks (CNN).  ...  A smart image retrieval technique has been an increasing demand by the advancements in the field of computer networks and mobile computing.  ...  Another framework is based on region-based image retrieval system that utilizes region codebooks [18] for image retrieval.  ... 
doi:10.30534/ijatcse/2020/70952020 fatcat:vjpq2j2pdza5di426baglhavai

2020 Index IEEE Transactions on Image Processing Vol. 29

2020 IEEE Transactions on Image Processing  
., +, TIP 2020 4085-4098 Genetic algorithms Autonomous Selective Parts-Based Tracking.  ...  ., +, TIP 2020 3213-3226 FusionNet: An Unsupervised Convolutional Variational Network for Hyperspectral and Multispectral Image Fusion.  ... 
doi:10.1109/tip.2020.3046056 fatcat:24m6k2elprf2nfmucbjzhvzk3m

A Novel Method for 3D Image Segmentation with Fusion of Two Images using Color K-means Algorithm

Neelam Kushwah, Priusha Narwariya
2015 International Journal of Computer Applications  
In this proposed paper presented 3D image segmentation and fusion of two images using color automatic k-means clustering algorithm.  ...  Image segmentation is the process of splitting an image into several partitions, so as to change the optimization of an image into somewhat that is more expressive and easier to analyze.  ...  of genetic algorithm which selects top ranked features.  ... 
doi:10.5120/ijca2015905254 fatcat:bjxwykt5ije3zid572kyflxsj4

The Novel Gravitational Mass Weighted PCA Technique for Feature Extraction in Hyperspectral Data Classification

2019 International Journal of Engineering and Advanced Technology  
This paper proposes the novel fusion Gravitational Mass Weighted Principal Component Analysis (GMWPCA) techniques for hyperspectral data dimensionality.  ...  Recent advancements in the imaging spectrometer collect both spatial and spectral information which creates a huge dimensionality.  ...  Genetic algorithm, information theoretic approaches, global and local structure preservation framework and representation techniques are some of the feature selection methods.  ... 
doi:10.35940/ijeat.e1056.0785s319 fatcat:w4fsxms6dbcmtkn4tbkfogzari

2020 Index IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing Vol. 13

2020 IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing  
Yang, K., +, JSTARS 2020 5580-5596 Jupiter An Approach Based on Multiobjective Genetic Algorithms to Schedule Observations in Planetary Remote Sensing Missions.  ...  ., +, JSTARS 2020 1527-1539 Planetary remote sensing An Approach Based on Multiobjective Genetic Algorithms to Schedule Observations in Planetary Remote Sensing Missions.  ...  A New Deep-Learning-Based Approach for Earthquake-Triggered Landslide Detection From Single-Temporal RapidEye Satellite Imagery. Yi, Y., +, JSTARS 2020  ... 
doi:10.1109/jstars.2021.3050695 fatcat:ycd5qt66xrgqfewcr6ygsqcl2y

Content-based visual search learned from social media

Xirong Li
2012 ACM SIGMultimedia Records  
, Gosia and Hamdi for the ISIS dinners, Daan and Bouke for sharing conference hotels, and our secretary Virginie who helped me much in the past years.  ...  It is my pleasure to work in the ISIS group: Michael, Ivo, and Jan as my ping pong mates for years, Victoria, Vladimir, Dung, and Stratios for sharing offices, Cor, Jan-Mark, and Theo for interesting discussions  ...  This work is an attempt to solve image ranking and tag ranking in a unified tag rele-vance learning framework.  ... 
doi:10.1145/2206765.2206774 fatcat:kxk6kciwhfe2hcqw546ez2coku

Fabric Image Retrieval System Using Hierarchical Search Based on Deep Convolutional Neural Network

Jun Xiang, Ning Zhang, Ruru Pan, Weidong Gao
2019 IEEE Access  
The longitudinal comparison experiments for self-parameter optimization and horizontal comparison experiments for verifying the superiority of the algorithm are performed on this data set.  ...  Encourage by the recent breakthrough in the deep convolutional neural network (CNN), a deep learning framework is applied for fabric image retrieval.  ...  Perronnin and Larlus [27] proposed an image retrieval framework based on multi-feature fusion.  ... 
doi:10.1109/access.2019.2898906 fatcat:q3fatbqjxzhqpchu5hty7l4gfy

Exploiting document feature interactions for efficient information fusion in high dimensional spaces

Jana Kludas, Eric Bruno, Stephane Marchand-Maillet
2008 2008 First Workshops on Image Processing Theory, Tools and Applications  
This also leads to improved performances for algorithms that rely on information fusion like multimedia document classification.  ...  The approach is compared to classical feature selection strategies based on correlation and mutual information.  ...  ACKNOWLEDGMENT This work is funded by the European Project MultiMATCH (EU-IST-STREP#033104) and the Swiss NCCR (IM)2.  ... 
doi:10.1109/ipta.2008.4743798 fatcat:27ofzhyt4vbsbmbp6r4s7b6o7i

Pseudo Labels and Soft Multi-part Corresponding Similarity for Unsupervised Deep Hashing

Huiying Li, Yang Li, Xin Xie, Shuai Gao, Dongsheng Mao
2020 IEEE Access  
On the other hand, binary semantic similarity matrices can not reflect ranking relationship and the internal structure information of different images.  ...  INDEX TERMS Unsupervised hashing, pseudo labels, image retrieval, multi-part correspondence, soft similarity.  ...  And then 1,000 images are selected as the query dataset, where we randomly select 100 images for each category.  ... 
doi:10.1109/access.2020.2981288 fatcat:7fsole4navfuxi5qxlg6ijr62a

A Mixture Model for Image Boundary Detection Fusion

Yinghui ZHANG, Hongjun WANG, Hengxue ZHOU, Ping DENG
2018 IEICE transactions on information and systems  
We present an inference method for MMIBDF and describe the corresponding algorithm in detail.  ...  in an unsupervised manner.  ...  We thank the anonymous reviewers for their helpful comments and suggestions.  ... 
doi:10.1587/transinf.2017edp7314 fatcat:6zm74ujsqjex7ozpazjcgjrgoi

Table of Contents

2020 IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing  
Liu 4016 An Approach Based on Multiobjective Genetic Algorithms to Schedule Observations in Planetary Remote Sensing Missions . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .  ...  Duan 2520 An Improved Low Rank and Sparse Matrix Decomposition-Based Anomaly Target Detection Algorithm for Hyperspectral Imagery . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .  ...  Huang 2304 (Contents Continued on Page xxi) (Contents Continued from Page xx) Unified Framework for the Joint Super-Resolution and Registration of Multiangle Multi/Hyperspectral Remote Sensing Images  ... 
doi:10.1109/jstars.2020.3046663 fatcat:zqzyhnzacjfdjeejvzokfy4qze

2014 Index IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing Vol. 7

2014 IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing  
., and Foerster, S  ...  ., +, JSTARS June 2014 2571-2582 Unsupervised Change Detection in SAR Image Based on Gauss-Log Ratio Image Fusion and Compressed Projection.  ...  ., +, JSTARS June 2014 2246-2255 Unsupervised Change Detection in SAR Image Based on Gauss-Log Ratio Image Fusion and Compressed Projection.  ... 
doi:10.1109/jstars.2015.2397347 fatcat:ib3tjwsjsnd6ri6kkklq5ov37a
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