{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,2]],"date-time":"2026-06-02T16:25:36Z","timestamp":1780417536085,"version":"3.54.1"},"reference-count":81,"publisher":"Springer Science and Business Media LLC","issue":"24","license":[{"start":{"date-parts":[[2021,5,15]],"date-time":"2021-05-15T00:00:00Z","timestamp":1621036800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2021,5,15]],"date-time":"2021-05-15T00:00:00Z","timestamp":1621036800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Neural Comput & Applic"],"published-print":{"date-parts":[[2022,12]]},"DOI":"10.1007\/s00521-021-06087-3","type":"journal-article","created":{"date-parts":[[2021,5,15]],"date-time":"2021-05-15T11:02:36Z","timestamp":1621076556000},"page":"21519-21537","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":11,"title":["Leveraging semantic segmentation for hybrid image retrieval methods"],"prefix":"10.1007","volume":"34","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-1197-253X","authenticated-orcid":false,"given":"Achref","family":"Ouni","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Eric","family":"Royer","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Marc","family":"Chevaldonn\u00e9","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Michel","family":"Dhome","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2021,5,15]]},"reference":[{"key":"6087_CR1","doi-asserted-by":"crossref","unstructured":"Mukherjee, Jit, Jayanta M , Pabitra M (2014) \u201cA survey on image retrieval performance of different bag of visual words indexing techniques.\u201d In: Proceedings of the 2014 IEEE students\u2019 technology symposium, pp 99\u2013104. IEEE","DOI":"10.1109\/TechSym.2014.6807922"},{"key":"6087_CR2","unstructured":"Dubey, Ram Shiv (2020) \u201cA decade survey of content based image retrieval using deep learning.\u201d arXiv preprint arXiv:2012.00641"},{"key":"6087_CR3","doi-asserted-by":"crossref","unstructured":"Yang L, Lei H, Siqi W, Xianglong L , Bo L (2016) \u201cEfficient segmentation for region-based image retrieval using edge integrated minimum spanning tree.\u201d In: 2016 23rd international conference on pattern recognition (ICPR), pp 1929\u20131934. IEEE","DOI":"10.1109\/ICPR.2016.7899918"},{"issue":"4","key":"6087_CR4","doi-asserted-by":"publisher","first-page":"1318","DOI":"10.1016\/j.patcog.2006.08.013","volume":"40","author":"Mustafa Ozden","year":"2007","unstructured":"Ozden Mustafa, Polat Ediz (2007) A color image segmentation approach for content-based image retrieval. Pattern Recognit 40(4):1318\u20131325","journal-title":"Pattern Recognit"},{"issue":"9","key":"6087_CR5","first-page":"1","volume":"161","author":"Vandana Vinayak","year":"2017","unstructured":"Vinayak Vandana, Jindal Sonika (2017) CBIR system using color moment and color auto-Correlogram with block truncation coding. Int J Computer Appl 161(9):1\u20137","journal-title":"Int J Computer Appl"},{"key":"6087_CR6","unstructured":"Ville V et al. (2002) Image segmentation in content-based image re- trieval. Helsini University of Technology, Department of Electrical and Communications Engineering, Master Thesis, Finland 24th May"},{"key":"6087_CR7","unstructured":"Gabriella C, Christopher D , Lixin F , Jutta W , Bray C (2004)Visual categorization with bags of keypoints. In: Workshop on statistical learning in computer vision, ECCV, vol 1, pp 1\u20132. Prague"},{"key":"6087_CR8","doi-asserted-by":"crossref","unstructured":"Ouni, Achref, Royer Eric , Chevaldonn\u00e9 Marc , Dhome Michel (2020) \u201cA hybrid approach for improved image similarity using semantic segmentation.\u201d In: International symposium on visual computing, Springer, Cham, pp 647\u2013657","DOI":"10.1007\/978-3-030-64559-5_51"},{"key":"6087_CR9","doi-asserted-by":"publisher","first-page":"407","DOI":"10.1016\/j.asoc.2013.10.003","volume":"14","author":"ME ElAlami","year":"2014","unstructured":"ElAlami ME (2014) A new matching strategy for content based image retrieval system. Appl. Soft Computing 14:407\u2013418","journal-title":"Appl. Soft Computing"},{"key":"6087_CR10","unstructured":"Nandkumar AS, Rekha DR (2016) Content based image retrieval using feature extracted from dot diffusion block truncation coding. In: 2016 International conference on communication and electronics systems (ICCES), pp 1\u20136.IEEE"},{"key":"6087_CR11","doi-asserted-by":"publisher","first-page":"673","DOI":"10.1016\/j.neucom.2015.07.008","volume":"171","author":"Z Shan","year":"2016","unstructured":"Shan Z, Rui W, Zhen K (2016) Image retrieval using spa-tiograms of colors quantized by gaussian mixture models. Neurocomputing 171:673\u2013684","journal-title":"Neurocomputing"},{"key":"6087_CR12","doi-asserted-by":"crossref","unstructured":"Jitesh P , Sumit K , Kumar PA, Haider B (2018) Texture and color visual features based cbir using 2d dt-cwt and histograms. In: International conference on mathematics and computing, Springer, pp 84\u201396","DOI":"10.1007\/978-981-13-0023-3_9"},{"key":"6087_CR13","unstructured":"David GL (1999) Object recognition from local scale-invariant features. In: Proceedings of the seventh IEEE international conference on computer vision, vol 2, pp 1150\u20131157. Ieee"},{"issue":"3","key":"6087_CR14","doi-asserted-by":"publisher","first-page":"433","DOI":"10.1109\/3477.764879","volume":"29","author":"K Krishna","year":"1999","unstructured":"Krishna K, Murty MN (1999) Genetic k-means algorithm. IEEE Trans Syst Man Cybern Part B (Cybern) 29(3):433\u2013439","journal-title":"IEEE Trans Syst Man Cybern Part B (Cybern)"},{"key":"6087_CR15","unstructured":"Herv J , Matthijs D, Cordelia S , Patrick P (2010) Aggregating lo-cal descriptors into a compact image representation. In: 2010 IEEE computer society conference on computer vision and pattern recognition, pp 3304\u20133311. IEEE"},{"key":"6087_CR16","unstructured":"Florent P, Christopher D (20017) Fisher kernels on visual vocabularies for image categorization. In: 2007 IEEE conference on computer vision and pattern recog-nition, pp 1\u20138. IEEE"},{"key":"6087_CR17","unstructured":"Edward RC (2000) The in nite gaussian mixture model. In: Advances in neural information processing systems, pp 554\u2013560"},{"key":"6087_CR18","doi-asserted-by":"crossref","unstructured":"Tony L (2012) \u201cScale invariant feature transform.\u201d (2012): 10491","DOI":"10.4249\/scholarpedia.10491"},{"key":"6087_CR19","doi-asserted-by":"crossref","unstructured":"Herbert B, Tinne T , Luc VG (2006) \u201cSurf: Speeded up robust features.\u201d In: European conference on computer vision, Springer, Berlin, Heidelberg, pp 404\u2013417","DOI":"10.1007\/11744023_32"},{"key":"6087_CR20","unstructured":"Relja A, Andrew Z (2013) \u201cAll about VLAD.\u201d In: Proceedings of the IEEE conference on computer vision and pattern recognition, pp 1578\u20131585"},{"key":"6087_CR21","doi-asserted-by":"crossref","unstructured":"Pablo AF , Adrien B , Andrew JD (2012) \u201cKAZE features.\u201d In: European conference on computer vision, Springer, Berlin, Heidelberg, pp 214\u2013227","DOI":"10.1007\/978-3-642-33783-3_16"},{"key":"6087_CR22","unstructured":"Sugata B, Abhishek V , Chengjun L (2011) \u201cNovel color LBP descriptors for scene and image texture classification.\u201d In: Proceedings of the international conference on image processing, computer vision, and pattern recognition (IPCV), p. 1. The Steering Committee of The World Congress in Computer Science, Computer Engineering and Applied Computing (WorldComp)"},{"issue":"9","key":"6087_CR23","doi-asserted-by":"publisher","first-page":"4018","DOI":"10.1109\/TIP.2016.2577887","volume":"25","author":"RS Dubey","year":"2016","unstructured":"Dubey RS, Kumar SS, Kumar SR (2016) Multichannel decoded local binary patterns for content-based image retrieval. IEEE Trans Image Process 25(9):4018\u20134032","journal-title":"IEEE Trans Image Process"},{"issue":"5","key":"6087_CR24","doi-asserted-by":"publisher","first-page":"2874","DOI":"10.1109\/TIP.2012.2188809","volume":"21","author":"Subrahmanyam RP Murala","year":"2012","unstructured":"Murala Subrahmanyam RP, Maheshwari Balasubramanian R (2012) Local tetra patterns: a new feature descriptor for content-based image retrieval. IEEE Trans Image Process 21(5):2874\u20132886","journal-title":"IEEE Trans Image Process"},{"issue":"12","key":"6087_CR25","doi-asserted-by":"publisher","first-page":"5892","DOI":"10.1109\/TIP.2015.2493446","volume":"24","author":"RS Dubey","year":"2015","unstructured":"Dubey RS, Kumar SS, Kumar SR (2015) Local wavelet pattern: a new feature descriptor for image retrieval in medical CT databases. IEEE Trans Image Process 24(12):5892\u20135903","journal-title":"IEEE Trans Image Process"},{"issue":"12","key":"6087_CR26","doi-asserted-by":"publisher","first-page":"5323","DOI":"10.1109\/TIP.2014.2358879","volume":"23","author":"RS Dubey","year":"2014","unstructured":"Dubey RS, Kumar SS, Kumar Singh Rajat (2014) Rotation and illumination invariant interleaved intensity order-based local descriptor. IEEE Trans Image Process 23(12):5323\u20135333","journal-title":"IEEE Trans Image Process"},{"issue":"20","key":"6087_CR27","doi-asserted-by":"publisher","first-page":"26173","DOI":"10.1007\/s11042-018-5841-8","volume":"77","author":"Achref Ouni","year":"2018","unstructured":"Ouni Achref, Urruty Thierry, Visani Muriel (2018) A robust cbir framework in between bags of visual words and phrases models for speci c image datasets. Multimed Tools Appl 77(20):26173\u201326189","journal-title":"Multimed Tools Appl"},{"key":"6087_CR28","unstructured":"Rami A , Philippe M , Yves C , (2010) Visual phrases for automatic images annotation. In: 2010 International workshop on content based multimedia indexing (CBMI), pp 1\u20136. IEEE"},{"key":"6087_CR29","unstructured":"Glauco VP, Agma JMT (2013) From bag-of-visual-words to bag-of-visual-phrases using n-grams. In: 2013 XXVI Conference on graphics, patterns and images, pp 304\u2013311. IEEE"},{"key":"6087_CR30","doi-asserted-by":"crossref","unstructured":"Zahid M , Muhammad AS, Nouman A, Adnan HH, Muhammad R (2016) A novel image retrieval based on a combination of local and global histograms of visual words. Math Prob Eng 2016","DOI":"10.1155\/2016\/8217250"},{"issue":"1","key":"6087_CR31","first-page":"39","volume":"3","author":"Singha Manimala","year":"2012","unstructured":"Manimala Singha, Hemachandran K (2012) Content based image retrieval using color and texture. Signal Image Process 3(1):39","journal-title":"Signal Image Process"},{"issue":"6","key":"6087_CR32","doi-asserted-by":"publisher","first-page":"1073","DOI":"10.1109\/TMM.2008.2001357","volume":"10","author":"CY Deok","year":"2008","unstructured":"Deok CY, Chul KN, Hoon JK (2008) Content-based image retrieval using multiresolution color and texture features. IEEE Trans Multimed 10(6):1073\u20131084","journal-title":"IEEE Trans Multimed"},{"key":"6087_CR33","doi-asserted-by":"crossref","unstructured":"Islam, Mohidul SM , Rameswar D (2016)\u201cAn RST invariant image retrieval approach using color moments and wavelet packet entropy.\u201d In: 2016 5th International conference on informatics, electronics and vision (ICIEV), pp 747\u2013752. IEEE","DOI":"10.1109\/ICIEV.2016.7760101"},{"key":"6087_CR34","unstructured":"Jing H , Ravi KS, Mandar M, Wei-Jing Z, Ramin Z (1997) Image indexing using color correlograms. In: Proceedings of IEEE computer society conference on computer vision and pattern recognition, pp 762\u2013768. IEEE"},{"issue":"7","key":"6087_CR35","doi-asserted-by":"publisher","first-page":"971","DOI":"10.1109\/TPAMI.2002.1017623","volume":"24","author":"Timo Ojala","year":"2002","unstructured":"Ojala Timo, Pietikainen Matti, Maenpaa Topi (2002) Multiresolution gray-scale and rotation invariant texture classi cation with local binary patterns. IEEE Trans Pattern Anal Mach Intell 24(7):971\u2013987","journal-title":"IEEE Trans Pattern Anal Mach Intell"},{"key":"6087_CR36","first-page":"1","volume":"79","author":"Kanaparthi Suresh Kumar","year":"2019","unstructured":"Kumar Kanaparthi Suresh, Raju USN, Shanmukhi P, Khyathi Aneesha G, Ur Rahman Mo-hammed Ehsan (2019) Image retrieval by integrating global correlation of color and intensity histograms with local texture features. Multimed Tools Appl 79:1\u201337","journal-title":"Multimed Tools Appl"},{"key":"6087_CR37","unstructured":"Rui H, Mark B, John C (2010) Gradient field descriptor for sketch based retrieval and localization. In: 2010 IEEE International conference on image processing, pp 1025\u20131028. IEEE"},{"issue":"3","key":"6087_CR38","doi-asserted-by":"publisher","first-page":"1118","DOI":"10.1109\/TIP.2013.2286330","volume":"23","author":"Hu Rong-Xiang","year":"2013","unstructured":"Rong-Xiang Hu, Jia Wei, Ling Haibin, Zhao Yang, Gui Jie (2013) Angular pattern and binary angular pattern for shape retrieval. IEEE Trans. Image Process 23(3):1118\u20131127","journal-title":"IEEE Trans. Image Process"},{"issue":"5","key":"6087_CR39","doi-asserted-by":"publisher","first-page":"1358","DOI":"10.1016\/j.compeleceng.2012.05.010","volume":"38","author":"MY Sherin","year":"2012","unstructured":"Sherin MY (2012) Ictedct-cbir: integrating curvelet transform with enhanced domi-nant colors extraction and texture analysis for e cient content-based image retrieval. Computers Electr Eng 38(5):1358\u20131376","journal-title":"Computers Electr Eng"},{"issue":"5\u20136","key":"6087_CR40","doi-asserted-by":"publisher","first-page":"1005","DOI":"10.1016\/j.mcm.2011.11.064","volume":"57","author":"P Poursistani","year":"2013","unstructured":"Poursistani P, Hossein N, Askari MR, Masoud S (2013) Image indexing and retrieval in jpeg compressed domain based on vector quantization. Math Computer Modell 57(5\u20136):1005\u20131017","journal-title":"Math Computer Modell"},{"issue":"4","key":"6087_CR41","first-page":"530","volume":"29","author":"Xiaolin Tian","year":"2014","unstructured":"Tian Xiaolin, Jiao Licheng, Liu Xianlong, Zhang Xiaohua (2014) Feature integration of eodh and color-sift: application to image retrieval based on codebook. Signal Process: Image Commun 29(4):530\u2013545","journal-title":"Signal Process: Image Commun"},{"issue":"6","key":"6087_CR42","doi-asserted-by":"publisher","first-page":"3115","DOI":"10.1109\/TIP.2019.2894281","volume":"28","author":"I Chryssanthi","year":"2019","unstructured":"Chryssanthi I, Nektarios A, Mathias L, Klitos C, Boutalis Y, Savvas AC (2019) Composite description based on salient contours and color information for cbir tasks. IEEE Trans Image Process 28(6):3115\u20133129","journal-title":"IEEE Trans Image Process"},{"key":"6087_CR43","doi-asserted-by":"crossref","unstructured":"Chuanqian W , Baochang Z , Zengchang Q , Junyi X (2013) Spatial weighting for bag-of-features based image retrieval. In: International symposium on integrated uncertainty in knowledge modelling and decision making, Springer, pp 91\u2013100","DOI":"10.1007\/978-3-642-39515-4_8"},{"key":"6087_CR44","doi-asserted-by":"publisher","first-page":"46","DOI":"10.1016\/j.compeleceng.2019.01.022","volume":"75","author":"IT Bella","year":"2019","unstructured":"Bella IT, Vasuki A (2019) An efficient image retrieval framework using fused information feature. Computers Electr Eng 75:46\u201360","journal-title":"Computers Electr Eng"},{"key":"6087_CR45","doi-asserted-by":"publisher","first-page":"146284","DOI":"10.1109\/ACCESS.2020.3015285","volume":"8","author":"Guangyi Xie","year":"2020","unstructured":"Xie Guangyi, Guo Baolong, Huang Zhe, Zheng Yan, Yan Yunyi (2020) Combination of dominant color descriptor and Hu moments in consistent zone for content based image retrieval. IEEE Access 8:146284\u2013146299","journal-title":"IEEE Access"},{"key":"6087_CR46","unstructured":"Alex K, Ilya S , Hinton GE (2012) Imagenet classi cation with deep convolutional neural networks. In: Advances in neural information processing sys-tems, pp 1097\u20131105"},{"key":"6087_CR47","unstructured":"Karen S , Andrew Z (2014) Very deep convolutional networks for large-scale image recognition. arXiv preprint arXiv:1409.1556"},{"key":"6087_CR48","unstructured":"Christian S , Wei L , Yangqing J, Pierre S , Scott R, Dragomir A , Dumitru E, Vincent V, Andrew R (2015) Going deeper with convolutions. In: Proceedings of the IEEE conference on computer vision and pattern recognition, pp 1\u20139"},{"key":"6087_CR49","doi-asserted-by":"crossref","unstructured":"Christian S, Sergey I, Vincent V, Alexander AA (2017) Inception-v4, inception-resnet and the impact of residual connections on learning. In: Thirty- rst AAAI conference on articial intelligence","DOI":"10.1609\/aaai.v31i1.11231"},{"key":"6087_CR50","unstructured":"Yunchao G, Yangqing J , Thomas L, Alexander T , Sergey I (2013)\u201cDeep convolutional ranking for multilabel image annotation.\u201d arXiv preprint arXiv:1312.4894"},{"key":"6087_CR51","doi-asserted-by":"crossref","unstructured":"Jiang W, Yi Y , Junhua M, Zhiheng H, Chang H, Wei X (2016) \u201cCnn-rnn: a unified framework for multi-label image classification.\u201d In: Proceedings of the IEEE conference on computer vision and pattern recognition, pp 2285\u20132294","DOI":"10.1109\/CVPR.2016.251"},{"key":"6087_CR52","unstructured":"Feng Z, Hongsheng L , Wanli O, Nenghai Y, Xiaogang W (2017)\u201cLearning spatial regularization with image-level supervisions for multi-label image classification.\u201d In: Proceedings of the IEEE conference on computer vision and pattern recognition, pp 5513\u20135522"},{"key":"6087_CR53","doi-asserted-by":"crossref","unstructured":"Arandjelovi$$\\acute{c}$$ R, Gronat P, Torii A, Pajdla T, Sivic J (2016) NetVLAD: CNN architecture for weakly supervised place recognition. In: IEEE Conference on computer vision and pattern recognition","DOI":"10.1109\/CVPR.2016.572"},{"key":"6087_CR54","unstructured":"Thanasekhar B , Thomas JTJ, Sainee TS , Chander RR (2019) A deep learning framework for automated transfer learning of neural networks. In: 2019 11th International conference on advanced computing (ICoAC), pp 428\u2013432. IEEE"},{"key":"6087_CR55","doi-asserted-by":"crossref","unstructured":"Ruigang F , Biao L, Yinghui G, Ping W (2016) Content-based image retrieval based on cnn and svm. In: 2016 2nd IEEE International conference on computer and communications (ICCC), pp 638\u2013642","DOI":"10.1109\/CompComm.2016.7924779"},{"key":"6087_CR56","unstructured":"Yang, A, Veal CT, Derek AT, Grant SJ (2019) \u201cRecognizing image objects by relational analysis using heterogeneous superpixels and deep convolutional features.\u201d arXiv preprint arXiv:1908.00669"},{"issue":"2","key":"6087_CR57","doi-asserted-by":"publisher","first-page":"1911","DOI":"10.1007\/s11042-013-1489-6","volume":"72","author":"I Aun","year":"2014","unstructured":"Aun I, Jaffar MA, Eisa A, Tae-Sun C (2014) Embedding neural net-works for semantic association in content based image retrieval. Multimed Tools Appl 72(2):1911\u20131931","journal-title":"Multimed Tools Appl"},{"key":"6087_CR58","doi-asserted-by":"crossref","unstructured":"Anandababu P, Kamarasan M (2019) \u201cAn novel framework for content based image retrieval with quality assessment system using optimal deep convolution neural network\u201d","DOI":"10.35940\/ijitee.L3428.1081219"},{"key":"6087_CR59","doi-asserted-by":"crossref","unstructured":"Ramanjaneyulu K, Veera SK, Srinivasa RCH (2018) \u201cNovel CBIR system using CNN architecture.\u201d In: 2018 3rd International conference on inventive computation technologies (ICICT), pp. 379\u2013383. IEEE","DOI":"10.1109\/ICICT43934.2018.9034389"},{"key":"6087_CR60","unstructured":"Yurun T, Bin F, Fuchao W (2017) \u201cL2-net: Deep learning of discriminative patch descriptor in euclidean space.\u201d In: Proceedings of the IEEE conference on computer vision and pattern recognition, pp 661\u2013669"},{"key":"6087_CR61","unstructured":"Anastasiya M, Dmytro M , Filip R , Jiri M (2017) \u201cWorking hard to know your neighbor\u2019s margins: Local descriptor learning loss.\u201d arXiv preprint arXiv:1705.10872"},{"key":"6087_CR62","doi-asserted-by":"crossref","unstructured":"DeTone D, Malisiewicz T, Rabinovich A (2018) Superpoint: Self-supervised interest point detection and description. In: Proceedings of the IEEE conference on computer vision and pattern recognition workshops, pp 224\u2013236","DOI":"10.1109\/CVPRW.2018.00060"},{"key":"6087_CR63","doi-asserted-by":"crossref","unstructured":"Paulin M, Douze M, Harchaoui Z, Mairal J, Perronin F, Schmid C (2015) Local convolutional features with unsupervised training for image retrieval. In: Proceedings of the IEEE international conference on computer vision, pp 91\u201399","DOI":"10.1109\/ICCV.2015.19"},{"key":"6087_CR64","unstructured":"Tyszkiewicz, Micha\u0142 J, Fua Pascal, Trulls Eduard (2020) \u201cDISK: learning local features with policy gradient.\u201d arXiv preprint arXiv:2006.13566"},{"key":"6087_CR65","doi-asserted-by":"crossref","unstructured":"Giorgos T, Tomas J, Ond\u0159ej C (2020) \u201cLearning and aggregating deep local descriptors for instance-level recognition.\u201d In: European conference on computer vision, Springer, Cham, pp. 460\u2013477","DOI":"10.1007\/978-3-030-58452-8_27"},{"key":"6087_CR66","doi-asserted-by":"crossref","unstructured":"Brown A, Weidi X , Vicky K, Andrew Z (2020) \u201cSmooth-AP: soothing the path towards large-scale image retrieval.\u201d In: European conference on computer vision, Springer, Cham, pp 677\u2013694","DOI":"10.1007\/978-3-030-58545-7_39"},{"key":"6087_CR67","doi-asserted-by":"crossref","unstructured":"Ng, Tony, Vassileios B, Yurun T ,Krystian M (2020) \u201cSOLAR: second-order loss and attention for image retrieval.\u201d In: European conference on computer vision, Springer, Cham, pp. 253\u2013270","DOI":"10.1007\/978-3-030-58595-2_16"},{"key":"6087_CR68","doi-asserted-by":"crossref","unstructured":"Albert G, Jon A , Jerome R , Diane L (2016) \u201cDeep image retrieval: Learning global representations for image search.\u201d In: European conference on computer vision, Springer, Cham, pp 241\u2013257","DOI":"10.1007\/978-3-319-46466-4_15"},{"issue":"9","key":"6087_CR69","doi-asserted-by":"publisher","first-page":"947","DOI":"10.1109\/34.955109","volume":"23","author":"WJ Ze","year":"2001","unstructured":"Ze WJ, Jia L, Gio W (2001) Simplicity: semantics-sensitive integrated matching for picture libraries. IEEE Trans Pattern Anal Mach Intell 23(9):947\u2013963","journal-title":"IEEE Trans Pattern Anal Mach Intell"},{"issue":"9","key":"6087_CR70","doi-asserted-by":"publisher","first-page":"1075","DOI":"10.1109\/TPAMI.2003.1227984","volume":"25","author":"J Li","year":"2003","unstructured":"Li J, James WZ (2003) Automatic linguistic indexing of pictures by a statistical modeling approach. IEEE Trans Pattern Anal Mach Intell 25(9):1075\u20131088","journal-title":"IEEE Trans Pattern Anal Mach Intell"},{"key":"6087_CR71","unstructured":"Chaladze G, Kalatozishvili L (2017) Linnaeus 5 dataset for machine learning. Tech. Rep, Technical report"},{"key":"6087_CR72","unstructured":"Tat-Seng C, Jinhui T, Richang H, Haojie L, Zhiping L, Yantao Z (2009) \u201cNus-wide: a real-world web image database from national university of singapore.\u201d In: Proceedings of the ACM international conference on image and video retrieval, pp 1\u20139"},{"key":"6087_CR73","unstructured":"Marius C , Mohamed O , Sebastian R , Timo R , Markus E , Rodrigo B, Uwe F , Stefan R, Bernt S (2016) The cityscapes dataset for semantic urban scene understanding. In: Proceedings of the IEEE conference on computer vision and pattern recognition, pp 3213\u20133223"},{"key":"6087_CR74","unstructured":"Gerhard N, Tobias O , Rota BS, Peter K (2017) The mapillary vistas dataset for semantic understanding of street scenes. In: Proceedings of the IEEE international conference on computer vision, pp 4990\u20134999"},{"key":"6087_CR75","doi-asserted-by":"crossref","unstructured":"Tsung-Yi L, Michael M , Serge B, James H , Pietro P, Deva R, Piotr D, Lawrence ZC (2014) Microsoft coco: Common objects in context. In: European conference on computer vision, Springer, pp 740\u2013755","DOI":"10.1007\/978-3-319-10602-1_48"},{"key":"6087_CR76","unstructured":"Bolei Z , Hang Z , Xavier P, Sanja F, Adela B , Antonio T (2017) Scene parsing through ade20k dataset. In: Proceedings of the IEEE conference on computer vision and pattern recognition, pp 633\u2013641"},{"key":"6087_CR77","unstructured":"Holger C , Jasper U, Vittorio F (2018) Coco-stuff: Thing and stuff classes in context. In: Proceedings of the IEEE conference on computer vision and pattern recognition, pp 1209\u20131218"},{"key":"6087_CR78","unstructured":"John L , Liu Z , Ozan S, James H , Vladlen K (2020) MSeg: A composite dataset for multi-domain semantic segmentation. In: Computer vision and pattern recognition (CVPR)"},{"key":"6087_CR79","unstructured":"Ke S, Yang Z, Borui J , Tianheng C , Bin X, Dong L , Yadong M, Xinggang W , Wenyu L , Jingdong W (2019) High-resolution representations forsun2019highand regions. arXiv preprint arXiv:1904.04514"},{"key":"6087_CR80","unstructured":"Mark E, John W (2011) The pascal visual object classes challenge 2012 (voc2012) development kit. Pattern analysis, statistical modelling and computational learning, Tech. Rep, 8"},{"key":"6087_CR81","first-page":"1","volume":"37","author":"J Li","year":"2020","unstructured":"Li J, Yang B, Yang W, Sun C, Xu J (2020) Subspace-based multi-view fusion for instance-level image retrieval. Visual Computer 37:1\u201315","journal-title":"Visual Computer"}],"container-title":["Neural Computing and Applications"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s00521-021-06087-3.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s00521-021-06087-3\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s00521-021-06087-3.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,11,7]],"date-time":"2022-11-07T23:58:17Z","timestamp":1667865497000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s00521-021-06087-3"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,5,15]]},"references-count":81,"journal-issue":{"issue":"24","published-print":{"date-parts":[[2022,12]]}},"alternative-id":["6087"],"URL":"https:\/\/doi.org\/10.1007\/s00521-021-06087-3","relation":{},"ISSN":["0941-0643","1433-3058"],"issn-type":[{"value":"0941-0643","type":"print"},{"value":"1433-3058","type":"electronic"}],"subject":[],"published":{"date-parts":[[2021,5,15]]},"assertion":[{"value":"1 November 2020","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"23 April 2021","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"15 May 2021","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Declarations"}},{"value":"The authors have no conflict of interest in this work.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Conflict of interest"}}]}}