Video Google: a text retrieval approach to object matching in videos, Proceedings Ninth IEEE International Conference on Computer Vision, pp.1470-1477, 2003. ,
DOI : 10.1109/ICCV.2003.1238663
Visual Categorization with Bags of Keypoints, ECCV Workshop on Statistical Learning in Computer Vision, pp.1-22, 2004. ,
Object recognition from local scale-invariant features, Proceedings of the Seventh IEEE International Conference on Computer Vision, pp.1150-1157, 1999. ,
DOI : 10.1109/ICCV.1999.790410
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.121.4065
A performance evaluation of local descriptors, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.27, issue.10, pp.1615-1630, 2005. ,
DOI : 10.1109/TPAMI.2005.188
URL : https://hal.archives-ouvertes.fr/inria-00548227
A comparison of color features for visual concept classification, Proceedings of the 2008 international conference on Content-based image and video retrieval, CIVR '08, pp.141-149, 2008. ,
DOI : 10.1145/1386352.1386376
Kernel Codebooks for Scene Categorization, pp.696-709, 2008. ,
DOI : 10.1007/978-3-540-88690-7_52
Lost in quantization: Improving particular object retrieval in large scale image databases, 2008 IEEE Conference on Computer Vision and Pattern Recognition, 2008. ,
DOI : 10.1109/CVPR.2008.4587635
Soft assignment of visual words as Linear Coordinate Coding and optimisation of its reconstruction error, 2011 18th IEEE International Conference on Image Processing, 2011. ,
DOI : 10.1109/ICIP.2011.6116129
Comparison of mid-level feature coding approaches and pooling strategies in visual concept detection, Computer Vision and Image Understanding, vol.117, issue.5, p.2012 ,
DOI : 10.1016/j.cviu.2012.10.010
Efficient Sparse Coding Algorithms, NIPS, pp.801-808, 2007. ,
Linear Spatial Pyramid Matching using Sparse Coding for Image Classification, pp.1794-1801, 2009. ,
Nonlinear Learning using Local Coordinate Coding, 2009. ,
Localityconstrained Linear Coding for Image Classification, 2010. ,
Local features are not lonely – Laplacian sparse coding for image classification, 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2010. ,
DOI : 10.1109/CVPR.2010.5539943
Image Classification Using Super-Vector Coding of Local Image Descriptors, pp.141-154, 2010. ,
DOI : 10.1007/978-3-642-15555-0_11
Aggregating local descriptors into a compact image representation, 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, pp.3304-3311, 2010. ,
DOI : 10.1109/CVPR.2010.5540039
URL : https://hal.archives-ouvertes.fr/inria-00548637
Fisher Kernels on Visual Vocabularies for Image Categorization, 2007 IEEE Conference on Computer Vision and Pattern Recognition, pp.1-8, 2007. ,
DOI : 10.1109/CVPR.2007.383266
Improving the Fisher Kernel for Large-Scale Image Classification, pp.143-156, 2010. ,
DOI : 10.1007/978-3-642-15561-1_11
URL : https://hal.archives-ouvertes.fr/inria-00548630
Compact tensor based image representation for similarity search, 2012 19th IEEE International Conference on Image Processing, p.2012 ,
DOI : 10.1109/ICIP.2012.6467387
URL : https://hal.archives-ouvertes.fr/hal-00753157
Generalized histogram intersection kernel for image recognition, IEEE International Conference on Image Processing 2005, pp.161-164, 2005. ,
DOI : 10.1109/ICIP.2005.1530353
On the burstiness of visual elements, 2009 IEEE Conference on Computer Vision and Pattern Recognition, pp.1169-1176, 2009. ,
DOI : 10.1109/CVPR.2009.5206609
Evaluating bag-of-visual-words representations in scene classification, Proceedings of the international workshop on Workshop on multimedia information retrieval , MIR '07, pp.197-206, 2007. ,
DOI : 10.1145/1290082.1290111
The devil is in the details: an evaluation of recent feature encoding methods, Procedings of the British Machine Vision Conference 2011, 2011. ,
DOI : 10.5244/C.25.76
The Importance of Encoding Versus Training with Sparse Coding and Vector Quantization, pp.921-928, 2011. ,
Learning mid-level features for recognition, 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2010. ,
DOI : 10.1109/CVPR.2010.5539963
A Theoretical Analysis of Feature Pooling in Vision Algorithms, 2010. ,
Beyond Bags of Features: Spatial Pyramid Matching for Recognizing Natural Scene Categories, 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, Volume 2 (CVPR'06), pp.2169-2178, 2006. ,
DOI : 10.1109/CVPR.2006.68
URL : https://hal.archives-ouvertes.fr/inria-00548585
Spatial Coordinate Coding to reduce histogram representations, Dominant Angle and Colour Pyramid Match, 2011 18th IEEE International Conference on Image Processing, 2011. ,
DOI : 10.1109/ICIP.2011.6116639
Modeling the spatial layout of images beyond spatial pyramids, Pattern Recognition Letters, vol.33, issue.16, p.2012 ,
DOI : 10.1016/j.patrec.2012.07.019
A Multilinear Singular Value Decomposition, SIAM Journal on Matrix Analysis and Applications, vol.21, issue.4, pp.1253-1278, 2000. ,
DOI : 10.1137/S0895479896305696
Tensor Decompositions and Applications, SIAM Review, vol.51, issue.3, pp.455-500, 2009. ,
DOI : 10.1137/07070111X
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.130.782
Semantic Segmentation with Second-Order Pooling, p.2012 ,
DOI : 10.1007/978-3-642-33786-4_32
A 2D histogram representation of images for pooling, Image Processing: Machine Vision Applications IV, 2011. ,
DOI : 10.1117/12.872257
Visual category recognition using Spectral Regression and Kernel Discriminant Analysis, 2009 IEEE 12th International Conference on Computer Vision Workshops, ICCV Workshops, 2009. ,
DOI : 10.1109/ICCVW.2009.5457703
A Gentle Tutorial of the EM Algorithm and its Application to Parameter Estimation for Gaussian Mixture and Hidden Markov Models, ICSI, 1997. ,
Improving image similarity with vectors of locally aggregated tensors, 2011 18th IEEE International Conference on Image Processing, 2011. ,
DOI : 10.1109/ICIP.2011.6116641
URL : https://hal.archives-ouvertes.fr/hal-00591993
On a Quest for Image Descriptors Based on Unsupervised Segmentation Maps Automated Flower Classification over a Large Number of Classes, pp.762-765, 2008. ,
Automated Flower Classification over a Large Number of Classes, 2008 Sixth Indian Conference on Computer Vision, Graphics & Image Processing, 2008. ,
DOI : 10.1109/ICVGIP.2008.47
Visual classification with multi-task joint sparse representation, 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2010. ,
DOI : 10.1109/CVPR.2010.5539967
Group- Sensitive Multiple Kernel Learning for Object Recognition, pp.2838-2852, 2012. ,
Lp Norm Multiple Kernel Fisher Discriminant Analysis for Object and Image Categorisation, 2010. ,
The CLEF 2011 Photo Annotation and Concept-based Retrieval Tasks, 2011. ,
The MIR flickr retrieval evaluation, Proceeding of the 1st ACM international conference on Multimedia information retrieval, MIR '08, pp.39-43, 2008. ,
DOI : 10.1145/1460096.1460104
The University of Surrey Visual Concept Detection System at ImageCLEF 2010: Working Notes, 2010. ,
The joint Submission of the TU Berlin and Fraunhofer FIRST (TUBFI) to the Image- CLEF 2011 Photo Annotation Task: Working Notes, 2011. ,
Patch-based Object Recognition Using Discriminatively Trained Gaussian Mixtures, Procedings of the British Machine Vision Conference 2006, pp.519-528, 2006. ,
DOI : 10.5244/C.20.54
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.214.7347
Bilevel Sparse Coding for Coupled Feature Spaces, p.2012 ,
Pooling in image representation: The visual codeword point of view, Computer Vision and Image Understanding, vol.117, issue.5, p.2012 ,
DOI : 10.1016/j.cviu.2012.09.007
URL : https://hal.archives-ouvertes.fr/hal-01172709
Novel Fusion Methods for Pattern Recognition, 2011. ,
DOI : 10.1007/978-3-642-23780-5_19
Human action recognition by learning bases of action attributes and parts, 2011 International Conference on Computer Vision, 2011. ,
DOI : 10.1109/ICCV.2011.6126386
Discriminative affine sparse codes for image classification, CVPR 2011, pp.1609-1616, 2011. ,
DOI : 10.1109/CVPR.2011.5995701
Image Classification Using Haar-like Transformation of Local Features with Coding Residuals, SP, 2012. ,
Combining randomization and discrimination for fine-grained image categorization, CVPR 2011, 2011. ,
DOI : 10.1109/CVPR.2011.5995368
The PASCAL Visual Object Classes Challenge 2007-2012 Results, 2012. ,
Learning generative visual models from few training examples: An incremental Bayesian approach tested on 101 object categories, CVPR Workshop on Generative-Model Based Vision, 2004. ,
DOI : 10.1016/j.cviu.2005.09.012
New trends and ideas in visual concept detection, Proceedings of the international conference on Multimedia information retrieval, MIR '10, pp.527-536, 2010. ,
DOI : 10.1145/1743384.1743475
Online Learning for Matrix Factorization and Sparse Coding, 2010. ,
URL : https://hal.archives-ouvertes.fr/inria-00408716
Novel Image Representations for Visual Categorisation with Bag-of-Words, 2013. ,