Textile Retrieval Based on Image Content from CDC and Webcam Cameras in Indoor Environments
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Eduardo Fidalgo | Laura Fernández-Robles | Enrique Alegre | Oscar García-Olalla | Surajit Saikia | Laura Fernández-Robles | Enrique Alegre | Eduardo FIDALGO | Óscar García-Olalla | S. Saikia
[1] Agma J. M. Traina,et al. PRoSPer: Perceptual similarity queries in medical CBIR systems through user profiles , 2014, Comput. Biol. Medicine.
[2] Eduardo Fidalgo,et al. Compass radius estimation for improved image classification using Edge-SIFT , 2016, Neurocomputing.
[3] Wing-Keung Wong,et al. Applications of computer vision in fashion and textiles , 2018 .
[4] Óscar García-Olalla Olivera. Methods for improving texture description by using statistical information extracted from the image gradient , 2017 .
[5] Ashok Samal,et al. A content based image retrieval system for a biological specimen collection , 2010, Comput. Vis. Image Underst..
[6] Changmin Kim,et al. Classification of major construction materials in construction environments using ensemble classifiers , 2014, Adv. Eng. Informatics.
[7] Kaiming He,et al. Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks , 2015, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[8] Marcos X. Álvarez-Cid,et al. Texture Description Through Histograms of Equivalent Patterns , 2012, Journal of Mathematical Imaging and Vision.
[9] Laura Fernández-Robles,et al. Local Oriented Statistics Information Booster (LOSIB) for Texture Classification , 2014, 2014 22nd International Conference on Pattern Recognition.
[10] Bo Liu,et al. Plant Leaf Chlorophyll Content Retrieval Based on a Field Imaging Spectroscopy System , 2014, Sensors.
[11] Huang-Chia Shih,et al. SPiraL Aggregation Map (SPLAM): A new descriptor for robust template matching with fast algorithm , 2015, Pattern Recognit..
[12] Qiang Chen,et al. Cross-Domain Image Retrieval with a Dual Attribute-Aware Ranking Network , 2015, 2015 IEEE International Conference on Computer Vision (ICCV).
[13] Hiroyasu Sakamoto,et al. Convolutional Recurrent Neural Networks for Better Image Understanding , 2016, 2016 International Conference on Digital Image Computing: Techniques and Applications (DICTA).
[14] Shuicheng Yan,et al. Clothes Co-Parsing Via Joint Image Segmentation and Labeling With Application to Clothing Retrieval , 2016, IEEE Transactions on Multimedia.
[15] Zhenhua Guo,et al. A Completed Modeling of Local Binary Pattern Operator for Texture Classification , 2010, IEEE Transactions on Image Processing.
[16] Laura Fernández-Robles,et al. Evaluation of LBP Variants Using Several Metrics and kNN Classifiers , 2013, SISAP.
[17] Xiao Wu,et al. Part-based clothing image annotation by visual neighbor retrieval , 2016, Neurocomputing.
[18] Yunping Zheng,et al. A fast region segmentation algorithm on compressed gray images using Non-symmetry and Anti-packing Model and Extended Shading representation , 2016, J. Vis. Commun. Image Represent..
[19] Paul W. Fieguth,et al. Extended local binary patterns for texture classification , 2012, Image Vis. Comput..
[20] László Czúni,et al. Lightweight Active Object Retrieval with Weak Classifiers , 2018, Sensors.
[21] Trevor Darrell,et al. DeCAF: A Deep Convolutional Activation Feature for Generic Visual Recognition , 2013, ICML.
[22] Laura Fernández-Robles,et al. Vitality Assessment of Boar Sperm Using an Adaptive LBP Based on Oriented Deviation , 2012, ACCV Workshops.
[23] Jaehoon Jung,et al. Normalized Metadata Generation for Human Retrieval Using Multiple Video Surveillance Cameras , 2016, Sensors.
[24] Jun-Wei Hsieh,et al. Vehicle make and model recognition using sparse representation and symmetrical SURFs , 2013, 16th International IEEE Conference on Intelligent Transportation Systems (ITSC 2013).
[25] Yin-Fu Huang,et al. Searching Images in a Textile Image Database , 2014, ICSI.
[26] Svetlana Lazebnik,et al. Where to Buy It: Matching Street Clothing Photos in Online Shops , 2015, 2015 IEEE International Conference on Computer Vision (ICCV).
[27] Xiaohua Xie,et al. Exploiting object semantic cues for Multi-label Material Recognition , 2016, Neurocomputing.
[28] Pietro Perona,et al. Microsoft COCO: Common Objects in Context , 2014, ECCV.
[29] Bir Bhanu,et al. A software system for automated identification and retrieval of moth images based on wing attributes , 2016, Pattern Recognit..
[30] Trevor Darrell,et al. Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation , 2013, 2014 IEEE Conference on Computer Vision and Pattern Recognition.
[31] Bin Li,et al. Face recognition using locality sensitive histograms of oriented gradients , 2016 .
[32] Zhenhua Guo,et al. Rotation invariant texture classification using adaptive LBP with directional statistical features , 2010, 2010 IEEE International Conference on Image Processing.
[33] J. Andrew Bangham,et al. Morphological scale-space preserving transforms in many dimensions , 1996, J. Electronic Imaging.
[34] Min Tan,et al. Robust object recognition via weakly supervised metric and template learning , 2016, Neurocomputing.
[35] Francesco Bianconi,et al. Automatic Characterization of the Visual Appearance of Industrial Materials through Colour and Texture Analysis: An Overview of Methods and Applications , 2013 .
[36] Ling Liu,et al. Encyclopedia of Database Systems , 2009, Encyclopedia of Database Systems.
[37] Eduardo Fidalgo,et al. Query Based Object Retrieval Using Neural Codes , 2017, SOCO-CISIS-ICEUTE.
[38] Bill Triggs,et al. Histograms of oriented gradients for human detection , 2005, 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05).
[39] Luis E. Ortiz,et al. Retrieving Similar Styles to Parse Clothing , 2015, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[40] Jiri Matas,et al. Robust wide-baseline stereo from maximally stable extremal regions , 2004, Image Vis. Comput..
[41] Huimin Yu,et al. Unsupervised regions based segmentation using object discovery , 2015, J. Vis. Commun. Image Represent..
[42] Hang Zhang,et al. Differential Angular Imaging for Material Recognition , 2016, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[43] Laura Fernández-Robles,et al. Adaptive local binary pattern with oriented standard deviation (ALBPS) for texture classification , 2013, EURASIP J. Image Video Process..
[44] Michael I. Miller,et al. Content-based image retrieval for brain MRI: An image-searching engine and population-based analysis to utilize past clinical data for future diagnosis , 2015, NeuroImage: Clinical.
[45] Dumitru Erhan,et al. Going deeper with convolutions , 2014, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[46] Virginia Cifuentes,et al. Un método de optimización proximal al problema de anidamiento de piezas irregulares utilizando arquitecturas en paralelo , 2016 .
[47] Luis Enrique Sucar,et al. A Bayesian approach for object classification based on clusters of SIFT local features , 2012, Expert Syst. Appl..
[48] Matti Pietikäinen,et al. Performance evaluation of texture measures with classification based on Kullback discrimination of distributions , 1994, Proceedings of 12th International Conference on Pattern Recognition.
[49] S. Domínguez. Medida de similitud basada en saliencia , 2012 .
[50] J. J. Wen,et al. Fundamentals of common computer vision techniques for fashion textile modeling, recognition, and retrieval , 2018 .
[51] Geoffrey E. Hinton,et al. ImageNet classification with deep convolutional neural networks , 2012, Commun. ACM.
[52] Anne E. James,et al. Content-based image retrieval approach for biometric security using colour, texture and shape features controlled by fuzzy heuristics , 2012, J. Comput. Syst. Sci..
[53] Trevor Darrell,et al. Caffe: Convolutional Architecture for Fast Feature Embedding , 2014, ACM Multimedia.
[54] Matti Pietikäinen,et al. Multiresolution Gray-Scale and Rotation Invariant Texture Classification with Local Binary Patterns , 2002, IEEE Trans. Pattern Anal. Mach. Intell..
[55] Jian Yu,et al. Object recognition via contextual color attention , 2015, J. Vis. Commun. Image Represent..
[56] Eduardo Fidalgo,et al. Pornography and child sexual abuse detection in image and video: A comparative evaluation , 2017, ICDP.
[57] Lingxiao Yang,et al. Learning object-specific DAGs for multi-label material recognition , 2016, Comput. Vis. Image Underst..
[58] Ross B. Girshick,et al. Fast R-CNN , 2015, 1504.08083.
[59] C. Krishna Mohan,et al. Content based medical image retrieval using dictionary learning , 2015, Neurocomputing.
[60] Zhiwen Liu,et al. Quaternion generic Fourier descriptor for color object recognition , 2015, Pattern Recognit..
[61] Junchul Chun,et al. Textile Image Retrieval Using Composite Feature Vectors of Color and Wavelet Transformed Textural Property , 2013 .
[62] Andrew Zisserman,et al. Very Deep Convolutional Networks for Large-Scale Image Recognition , 2014, ICLR.
[63] Shin'ichi Satoh,et al. Faster R-CNN Features for Instance Search , 2016, 2016 IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW).
[64] Dong Xu,et al. Advanced Deep-Learning Techniques for Salient and Category-Specific Object Detection: A Survey , 2018, IEEE Signal Processing Magazine.
[65] Md. Khayrul Bashar,et al. Image retrieval by pattern categorization using wavelet domain perceptual features with LVQ neural network , 2005, Pattern Recognit. Lett..
[66] M. Jourlin,et al. A texture descriptor for textile image retrieval , 2009, 2009 International Symposium on Signals, Circuits and Systems.
[67] Jian Dong,et al. Deep domain adaptation for describing people based on fine-grained clothing attributes , 2015, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[68] Zhenhua Guo,et al. Rotation invariant texture classification using LBP variance (LBPV) with global matching , 2010, Pattern Recognit..
[69] Ioannis Brilakis,et al. Parameter optimization for automated concrete detection in image data , 2010 .