Improved adaptive image retrieval with the use of shadowed sets

Pattern Recognition - Tập 90 - Trang 390-403 - 2019
Hongyun Zhang1,2, Ting Zhang1,2, Witold Pedrycz1,3,4, Cairong Zhao1,2, Duoqian Miao1,2
1Department of Computer Science and Technology, Tongji University, Shanghai 201804, PR China
2Key Laboratory of Embedded System and Service Computing, Ministry of Education, Tongji University, Shanghai 201804, PR China
3Department of Electrical and Computer Engineering, University of Alberta, Edmonton, AB T6G 2G7, Canada
4System Research Institute, Polish Academy of Sciences, Warsaw, Poland

Tài liệu tham khảo

Kalpathy-Cramer, 2015, Evaluating performance of biomedical image retrieval systems–an overview of the medical image retrieval task at ImageCLEF 2004–2013, Comput. Med. Imaging Graph., 39, 55, 10.1016/j.compmedimag.2014.03.004

Patel, 2016, A review on feature extraction techniques in content based image retrieval, 2259

Swain, 1991, Color indexing, Int. J. Comput. Vis., 7, 11, 10.1007/BF00130487

Gupta, 1997, Visual information retrieval, Commun. ACM, 40, 70, 10.1145/253769.253798

Oliva, 2001

Lowe, 2004, Distinctive image features from scale-invariant keypoints, Int. J. Comput. Vis., 60, 91, 10.1023/B:VISI.0000029664.99615.94

Indyk, 2012, Approximate nearest neighbor: towards removing the curse of dimensionality, Theory Comput., 604–613, 604

Raginsky, 2009, Locality-sensitive binary codes from shift-invariant kernels, Adv. Neural Inf. Process. Syst., 22, 1509

Gong, 2011, Iterative quantization: a procrustean approach to learning binary codes, 817

Wang, 2011, Contextual weighting for vocabulary tree based image retrieval, 209

Zheng, 2014, Packing and padding: coupled multi-index for accurate image retrieval, 1947

Kang, 2016, Column sampling based discrete supervised hashing, 1230

Li, 2017, Large graph hashing with spectral rotation, 2203

Qian, 2016, Sketch-based image retrieval by salient contour reinforcement, IEEE Trans. Multimedia, 18, 1604, 10.1109/TMM.2016.2568138

Papushoy, 2015

Zheng, 2015, Fast image retrieval: query pruning and early termination, IEEE Trans. Multimedia, 17, 648, 10.1109/TMM.2015.2408563

Li, 2016, Deep contrast learning for salient object detection, CoRR, abs/1603.01976, 478

Cheng, 2011, Global contrast based salient region detection, 409

Yang, 2013, Saliency detection via graph-based manifold ranking, 3166

R. Xia, Y. Pan, H. Lai, C. Liu, S. Yan, Supervised hashing for image retrieval via image representation learning (2014).

Lin, 2015, Deep learning of binary hash codes for fast image retrieval, 27

Lin, 2016, Learning compact binary descriptors with unsupervised deep neural networks, 1183

Badrinarayanan, 2017, SegNet: a deep convolutional encoder-decoder architecture for scene segmentation, IEEE Trans. Pattern Anal. Mach. Intell., PP

Shelhamer, 2017

Chen, 2018, DeepLab: semantic image segmentation with deep convolutional nets, atrous convolution, and fully connected crfs, IEEE Trans. Pattern Anal. Mach. Intell., 40, 834, 10.1109/TPAMI.2017.2699184

Tang, 2017, Supervised deep hashing for scalable face image retrieval, Pattern Recognit., 75, 25, 10.1016/j.patcog.2017.03.028

Pedrycz, 1998, Shadowed sets: representing and processing fuzzy sets., IEEE Trans. Syst. Man Cybern. B Cybern., 28, 103, 10.1109/3477.658584

Cattaneo, 2003, An algebraic approach to shadowed sets, Electron. Notes Theor. Comput. Sci., 82, 64, 10.1016/S1571-0661(04)80706-0

Pedrycz, 2005, Interpretation of clusters in the framework of shadowed sets, Pattern Recognit. Lett., 26, 2439, 10.1016/j.patrec.2005.05.001

Mitra, 2010, Shadowed -means: integrating fuzzy and rough clustering, Pattern Recognit., 43, 1282, 10.1016/j.patcog.2009.09.029

Zhou, 2011, Shadowed sets in the characterization of rough-fuzzy clustering, Pattern Recognit., 44, 1738, 10.1016/j.patcog.2011.01.014

Pedrycz, 2010, Granular computing with shadowed sets, Int. J. Intell. Syst., 17, 173, 10.1002/int.10015

Zhou, 2012, Sample data selection method for neural network classifiers, J. Huazhong Univ. Sci. Technol., 40, 39

Cai, 2016, Shadowed sets of dynamic fuzzy sets, Granular Comput., 2, 1

Gonzalez, 2017, Toward general type-2 fuzzy logic systems based on shadowed sets, Adv. Intell. Syst. Comput., 642, 131, 10.1007/978-3-319-66824-6_12

Yao, 2017, Constructing shadowed sets and three-way approximations of fuzzy sets, Inf. Sci., 412–413, 132, 10.1016/j.ins.2017.05.036

Achanta, 2012, SLIC superpixels compared to state-of-the-art superpixel methods, IEEE Trans. Pattern Anal. Mach. Intell., 34, 2274, 10.1109/TPAMI.2012.120

Zhou, 2003, Ranking on data manifolds, Adv. Neural Inf. Process. Syst., 16, 169

Jiang, 2011, Automatic salient object segmentation based on context and shape prior, 1

Cheng, 2015, Global contrast based salient region detection, IEEE Trans. Pattern Anal. Mach. Intell., 37, 569, 10.1109/TPAMI.2014.2345401

Rahtu, 2010

Bruce, 2009, Saliency, attention and visual search: an information theoretic approach, J. Vis., 9, 5.1, 10.1167/9.3.5

Everingham, 2015, The pascal visual object classes challenge: a retrospective, Int. J. Comput. Vis., 111, 98, 10.1007/s11263-014-0733-5

Hariharan, 2011, Semantic contours from inverse detectors, 991

Thông tin
Thông tin xuất bản

Pattern Recognition

Tập 90

390-403

Thông tin tác giả