{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,26]],"date-time":"2026-01-26T04:37:15Z","timestamp":1769402235907,"version":"3.49.0"},"reference-count":69,"publisher":"Springer Science and Business Media LLC","issue":"4","license":[{"start":{"date-parts":[[2021,6,14]],"date-time":"2021-06-14T00:00:00Z","timestamp":1623628800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2021,6,14]],"date-time":"2021-06-14T00:00:00Z","timestamp":1623628800000},"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":["SN COMPUT. SCI."],"published-print":{"date-parts":[[2021,7]]},"DOI":"10.1007\/s42979-021-00734-1","type":"journal-article","created":{"date-parts":[[2021,6,14]],"date-time":"2021-06-14T10:02:33Z","timestamp":1623664953000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":8,"title":["Ornament Image Retrieval Using Multimodal Fusion"],"prefix":"10.1007","volume":"2","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-2470-1269","authenticated-orcid":false,"given":"Sk Maidul","family":"Islam","sequence":"first","affiliation":[]},{"given":"Subhankar","family":"Joardar","sequence":"additional","affiliation":[]},{"given":"Debi Prosad","family":"Dogra","sequence":"additional","affiliation":[]},{"given":"Arif Ahmed","family":"Sekh","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2021,6,14]]},"reference":[{"key":"734_CR1","doi-asserted-by":"crossref","unstructured":"Abdel-Nabi H, Al-Naymat G, Awajan A. Content based image retrieval approach using deep learning. In: 2019 2nd international conference on new trends in computing sciences (ICTCS), IEEE; 2019. p. 1\u20138.","DOI":"10.1109\/ICTCS.2019.8923042"},{"issue":"2","key":"734_CR2","doi-asserted-by":"publisher","first-page":"5","DOI":"10.1145\/1348246.1348248","volume":"40","author":"R Datta","year":"2008","unstructured":"Datta R, Joshi D, Li J, Wang JZ. Image retrieval: Ideas, influences, and trends of the new age. ACM Comput Surv. 2008;40(2):5.","journal-title":"ACM Comput Surv"},{"key":"734_CR3","doi-asserted-by":"crossref","unstructured":"Deng J, Dong W, Socher R, Li LJ, Li K, Fei-Fei L. Imagenet: a large-scale hierarchical image database. In: IEEE conference on computer vision and pattern recognition, IEEE; 2009. p. 248\u2013255","DOI":"10.1109\/CVPR.2009.5206848"},{"issue":"4","key":"734_CR4","doi-asserted-by":"publisher","first-page":"1159","DOI":"10.1007\/s10044-015-0522-y","volume":"19","author":"M Dey","year":"2016","unstructured":"Dey M, Raman B, Verma M (2016) A novel colour-and texture-based image retrieval technique using multi-resolution local extrema peak valley pattern and rgb colour histogram. Pattern Analysis and Applications 19(4), 1159\u20131179.","journal-title":"Pattern Anal Appl"},{"key":"734_CR5","doi-asserted-by":"crossref","unstructured":"Dey S, Dutta A, Ghosh SK, Valveny E, Llad\u00f3s J, Pal U. Learning cross-modal deep embeddings for multi-object image retrieval using text and sketch. In: International conference on pattern recognition, IEEE; 2018. p. 916\u2013921.","DOI":"10.1109\/ICPR.2018.8545452"},{"key":"734_CR6","unstructured":"Ge Y, Zhang R, Wu L, Wang X, Tang X, Luo P. Deepfashion2: a versatile benchmark for detection, pose estimation, segmentation and re-identification of clothing images. arXiv preprint arXiv:1901079732019."},{"issue":"1","key":"734_CR7","doi-asserted-by":"publisher","first-page":"142","DOI":"10.1016\/j.dsp.2012.04.019","volume":"23","author":"AB Gonde","year":"2013","unstructured":"Gonde AB, Maheshwari R, Balasubramanian R (2013) Modified curvelet transform with vocabulary tree for content based image retrieval. Digital Signal Processing 23(1), 142\u2013150.","journal-title":"Digit Signal Proc"},{"issue":"1","key":"734_CR8","first-page":"65","volume":"1","author":"S Grace","year":"2008","unstructured":"Grace S, Annadurai S (2008) Content based image retrieval for medical images using generic fourier descriptor. Journal of computational Intelligence in Bioinformatics 1(1), 65\u201372.","journal-title":"J Comput Intell Bioinforma"},{"issue":"8","key":"734_CR9","doi-asserted-by":"publisher","first-page":"1360","DOI":"10.1016\/j.jvcir.2013.09.005","volume":"24","author":"JM Guo","year":"2013","unstructured":"Guo JM, Prasetyo H, Su HS. Image indexing using the color and bit pattern feature fusion. J Vis Commun Image Represent. 2013;24(8):1360\u201379.","journal-title":"J Vis Commun Image Repres"},{"key":"734_CR10","doi-asserted-by":"publisher","first-page":"23","DOI":"10.1016\/j.buildenv.2018.05.026","volume":"140","author":"I Ha","year":"2018","unstructured":"Ha I, Kim H, Park S, Kim H (2018) Image retrieval using bim and features from pretrained vgg network for indoor localization. Building and Environment 140:23\u201331.","journal-title":"Build Environ"},{"key":"734_CR11","doi-asserted-by":"crossref","unstructured":"He K, Zhang X, Ren S, Sun J. Deep residual learning for image recognition. In: IEEE conference on computer vision and pattern recognition; 2016. p. 770\u2013778.","DOI":"10.1109\/CVPR.2016.90"},{"key":"734_CR12","doi-asserted-by":"publisher","first-page":"72","DOI":"10.1016\/j.patrec.2015.10.012","volume":"69","author":"C H\u00f6schl IV","year":"2016","unstructured":"H\u00f6schl IV C, Flusser J (2016) Robust histogram-based image retrieval. Pattern Recognition Letters 69:72\u201381.","journal-title":"Pattern Recogn Lett"},{"key":"734_CR13","doi-asserted-by":"crossref","unstructured":"Huang J, Feris RS, Chen Q, Yan S. Cross-domain image retrieval with a dual attribute-aware ranking network. In: IEEE international conference on computer vision; 2015. p. 1062\u20131070.","DOI":"10.1109\/ICCV.2015.127"},{"issue":"10","key":"734_CR14","doi-asserted-by":"publisher","first-page":"157","DOI":"10.1007\/s10916-017-0799-z","volume":"41","author":"A Jenitta","year":"2017","unstructured":"Jenitta A, Ravindran RS (2017) Image retrieval based on local mesh vector co-occurrence pattern for medical diagnosis from mri brain images. Journal of Medical Systems 41(10):157.","journal-title":"J Med Syst"},{"issue":"7","key":"734_CR15","doi-asserted-by":"publisher","first-page":"1936","DOI":"10.3390\/s20071936","volume":"20","author":"D Jeong","year":"2020","unstructured":"Jeong D, Kim BG. Dong SY (2020) Deep joint spatiotemporal network (djstn) for efficient facial expression recognition. Sensors 20(7):1936.","journal-title":"Sensors"},{"key":"734_CR16","doi-asserted-by":"crossref","unstructured":"Jetchev N, Bergmann U. The conditional analogy gan: Swapping fashion articles on people images. In: IEEE international conference on computer vision, 2017. p. 2287\u20132292.","DOI":"10.1109\/ICCVW.2017.269"},{"issue":"12","key":"734_CR17","first-page":"445","volume":"14","author":"Y Jhansi","year":"2016","unstructured":"Jhansi Y, Reddy ES. An efficient sketch based image retrieval using cross-correlation. International Journal of Computer Science and Information Security. 2016;14(12):445.","journal-title":"Int J Comput Sci Inf Secur"},{"key":"734_CR18","doi-asserted-by":"crossref","unstructured":"Ji X, Wang W, Zhang M, Yang Y. Cross-domain image retrieval with attention modeling. In: ACM international conference on multimedia, ACM; 2017. p. 1654\u20131662.","DOI":"10.1145\/3123266.3123429"},{"issue":"3","key":"734_CR19","doi-asserted-by":"publisher","first-page":"702","DOI":"10.1109\/TIP.2005.863105","volume":"15","author":"W Jiang","year":"2006","unstructured":"Jiang W, Er G, Dai Q, Gu J (2006) Similarity-based online feature selection in content-based image retrieval. IEEE Transactions on Image Processing 15(3), 702\u2013712.","journal-title":"IEEE Trans Image Process"},{"issue":"2","key":"734_CR20","doi-asserted-by":"publisher","first-page":"442","DOI":"10.1109\/TMM.2012.2231061","volume":"15","author":"YG Jiang","year":"2012","unstructured":"Jiang YG, Wang J, Xue X, Chang SF (2012) Query-adaptive image search with hash codes. IEEE Transactions on Multimedia 15(2), 442\u2013453.","journal-title":"IEEE Trans Multimedia"},{"issue":"1","key":"734_CR21","doi-asserted-by":"publisher","first-page":"52","DOI":"10.1109\/TCOM.1967.1089532","volume":"15","author":"T Kailath","year":"1967","unstructured":"Kailath T. The divergence and bhattacharyya distance measures in signal selection. IEEE Transactions on Communication Technology. 1967;15(1):52\u201360.","journal-title":"IEEE Trans Commun Technol"},{"key":"734_CR22","first-page":"685","volume-title":"European conference on computer vision","author":"Y Kalantidis","year":"2016","unstructured":"Kalantidis Y, Mellina C, Osindero S (2016) Cross-dimensional weighting for aggregated deep convolutional features. In: European conference on computer vision. Springer, Berlin, pp 685\u2013701."},{"issue":"3","key":"734_CR23","first-page":"64","volume":"9","author":"H Kekre","year":"2011","unstructured":"Kekre H, Thepade SD, Banura VK. Amelioration of walsh-hadamard texture patterns based image retrieval using hsv color space. International Journal of Computer Science and Information Security. 2011;9(3):64.","journal-title":"Int J Comput Sci Inf Secur"},{"key":"734_CR24","doi-asserted-by":"publisher","first-page":"38","DOI":"10.1016\/j.displa.2018.08.001","volume":"55","author":"JH Kim","year":"2018","unstructured":"Kim JH, Hong GS, Kim BG, Dogra DP. deepgesture: Deep learning-based gesture recognition scheme using motion sensors. Displays. 2018;55:38\u201345.","journal-title":"Displays"},{"key":"734_CR25","doi-asserted-by":"publisher","first-page":"41273","DOI":"10.1109\/ACCESS.2019.2907327","volume":"7","author":"JH Kim","year":"2019","unstructured":"Kim JH, Kim BG, Roy PP, Jeong DM (2019) Efficient facial expression recognition algorithm based on hierarchical deep neural network structure. IEEE Access 7:41273\u201341285.","journal-title":"IEEE Access"},{"key":"734_CR26","unstructured":"Kong B, Supan J, Ramanan D, Fowlkes CC. Cross-domain image matching with deep feature maps. Int J Comput Vis. 2019;1\u201313."},{"key":"734_CR27","doi-asserted-by":"crossref","unstructured":"Liao L, He X, Zhao B, Ngo CW, Chua TS. Interpretable multimodal retrieval for fashion products. In: 2018 ACM multimedia conference on multimedia conference, ACM; 2018. p. 1571\u20131579.","DOI":"10.1145\/3240508.3240646"},{"key":"734_CR28","doi-asserted-by":"crossref","unstructured":"Lin K, Yang HF, Hsiao JH, Chen CS. Deep learning of binary hash codes for fast image retrieval. In: IEEE conference on computer vision and pattern recognition workshops; 2015a. p. 27\u201335.","DOI":"10.1109\/CVPRW.2015.7301269"},{"key":"734_CR29","doi-asserted-by":"crossref","unstructured":"Lin K, Yang HF, Liu KH, Hsiao JH, Chen CS. Rapid clothing retrieval via deep learning of binary codes and hierarchical search. In: ACM international conference on multimedia retrieval, ACM; 2015b. p. 499\u2013502.","DOI":"10.1145\/2671188.2749318"},{"issue":"1","key":"734_CR30","doi-asserted-by":"publisher","first-page":"188","DOI":"10.1016\/j.patcog.2012.06.001","volume":"46","author":"GH Liu","year":"2013","unstructured":"Liu GH, Yang JY (2013) Content-based image retrieval using color difference histogram. Pattern Recognition 46(1), 188\u2013198.","journal-title":"Pattern Recogn"},{"key":"734_CR31","doi-asserted-by":"crossref","unstructured":"Liu H, Wang R, Shan S, Chen X. Deep supervised hashing for fast image retrieval. In: IEEE conference on computer vision and pattern recognition; 2016a. p. 2064\u20132072.","DOI":"10.1109\/CVPR.2016.227"},{"key":"734_CR32","doi-asserted-by":"crossref","unstructured":"Liu Z, Luo P, Qiu S, Wang X, Tang X. Deepfashion: powering robust clothes recognition and retrieval with rich annotations. In: IEEE conference on computer vision and pattern recognition; 2016b. p. 1096\u20131104.","DOI":"10.1109\/CVPR.2016.124"},{"key":"734_CR33","doi-asserted-by":"crossref","unstructured":"Liu L, Shen F, Shen Y, Liu X, Shao L. Deep sketch hashing: Fast free-hand sketch-based image retrieval. In: IEEE conference on computer vision and pattern recognition; 2017a. p. 2862\u20132871.","DOI":"10.1109\/CVPR.2017.247"},{"key":"734_CR34","doi-asserted-by":"publisher","first-page":"95","DOI":"10.1016\/j.ins.2017.01.025","volume":"390","author":"P Liu","year":"2017","unstructured":"Liu P, Guo JM, Chamnongthai K, Prasetyo H (2017b) Fusion of color histogram and lbp-based features for texture image retrieval and classification. Information Sciences 390:95\u2013111.","journal-title":"Inf Sci"},{"key":"734_CR35","unstructured":"Luo Y, Wang Z, Huang Z, Yang Y, Lu H. Snap and find: Deep discrete cross-domain garment image retrieval. arXiv preprint arXiv:190402887, 2019."},{"issue":"4","key":"734_CR36","doi-asserted-by":"publisher","first-page":"955","DOI":"10.1007\/s00138-013-0580-3","volume":"25","author":"M Manfredi","year":"2014","unstructured":"Manfredi M, Grana C, Calderara S, Cucchiara R (2014) A complete system for garment segmentation and color classification. Machine Vision and Applications 25(4), 955\u2013969.","journal-title":"Mach Vis Appl"},{"key":"734_CR37","doi-asserted-by":"crossref","unstructured":"Mistry Y, Ingole D, Ingole M. Content based image retrieval using hybrid features and various distance metric. J Electr Syst Inf Technol; 2017.","DOI":"10.1016\/j.jesit.2016.12.009"},{"issue":"5","key":"734_CR38","doi-asserted-by":"publisher","first-page":"2874","DOI":"10.1109\/TIP.2012.2188809","volume":"21","author":"S Murala","year":"2012","unstructured":"Murala S, Maheshwari R, Balasubramanian R (2012) Local tetra patterns: a new feature descriptor for content-based image retrieval. IEEE Transactions on Image Processing 21(5), 2874\u20132886.","journal-title":"IEEE Trans Image Process"},{"key":"734_CR39","doi-asserted-by":"crossref","unstructured":"Nan B, Xu Y, Mu Z, Chen L. Content-based image retrieval using local texture-based color histogram. In: 2015 IEEE 2nd international conference on cybernetics, IEEE; 2015. p. 399\u2013405.","DOI":"10.1109\/CYBConf.2015.7175967"},{"key":"734_CR40","doi-asserted-by":"crossref","unstructured":"Nodari A, Ghiringhelli M, Zamberletti A, Vanetti M, Albertini S, Gallo I. A mobile visual search application for content based image retrieval in the fashion domain. In: International workshop on content-based multimedia indexing, IEEE; 2012. p. 1\u20136.","DOI":"10.1109\/CBMI.2012.6269838"},{"key":"734_CR41","doi-asserted-by":"publisher","first-page":"587","DOI":"10.1007\/978-981-10-8633-5_59","volume-title":"Recent findings in intelligent computing techniques","author":"N Pal","year":"2018","unstructured":"Pal N, Kilaru A, Savaria Y, Lakhssassi A (2018) Hybrid features of tamura texture and shape-based image retrieval. In: Recent findings in intelligent computing techniques, Springer, Berlin, p. 587\u2013597."},{"key":"734_CR42","doi-asserted-by":"publisher","first-page":"156","DOI":"10.1016\/j.dsp.2014.09.005","volume":"36","author":"A Papushoy","year":"2015","unstructured":"Papushoy A, Bors AG (2015) Image retrieval based on query by saliency content. Digital Signal Processing 36:156\u2013173.","journal-title":"Digit Signal Proc"},{"issue":"11","key":"734_CR43","doi-asserted-by":"publisher","first-page":"e0206229","DOI":"10.1371\/journal.pone.0206229","volume":"13","author":"O Pelka","year":"2018","unstructured":"Pelka O, Nensa F, Friedrich CM. Annotation of enhanced radiographs for medical image retrieval with deep convolutional neural networks. PloS one. 2018;13(11): e0206229.","journal-title":"PloS One"},{"key":"734_CR44","first-page":"158","volume":"23","author":"HQL Peng","year":"2011","unstructured":"Peng HQL. Research of content-based image retrieval technology micro-computer. Manag Control Integr. 2011;23:158\u201367.","journal-title":"Manag Control Integr."},{"key":"734_CR45","doi-asserted-by":"publisher","first-page":"50","DOI":"10.1016\/j.inffus.2017.01.003","volume":"37","author":"L Piras","year":"2017","unstructured":"Piras L, Giacinto G. Information fusion in content based image retrieval: A comprehensive overview. Information Fusion. 2017;37:50\u201360.","journal-title":"Inf Fus"},{"key":"734_CR46","doi-asserted-by":"publisher","first-page":"8","DOI":"10.1016\/j.neucom.2017.05.025","volume":"266","author":"A Qayyum","year":"2017","unstructured":"Qayyum A, Anwar SM, Awais M, Majid M (2017) Medical image retrieval using deep convolutional neural network. Neurocomputing 266:8\u201320.","journal-title":"Neurocomputing"},{"issue":"3","key":"734_CR47","doi-asserted-by":"publisher","first-page":"691","DOI":"10.1007\/s11760-013-0506-6","volume":"9","author":"M Rahimi","year":"2015","unstructured":"Rahimi M, Moghaddam ME (2015) A content-based image retrieval system based on color ton distribution descriptors. Signal, Image and Video Processing 9(3), 691\u2013704.","journal-title":"SIViP"},{"issue":"7","key":"734_CR48","doi-asserted-by":"publisher","first-page":"8163","DOI":"10.1007\/s11042-017-4708-8","volume":"77","author":"C Reta","year":"2018","unstructured":"Reta C, Solis-Moreno I, Cantoral-Ceballos JA, Alvarez-Vargas R, Townend P. Improving content-based image retrieval for heterogeneous datasets using histogram-based descriptors. Multimedia Tools and Applications. 2018;77(7):8163\u201393.","journal-title":"Multimedia Tools Appl"},{"key":"734_CR49","doi-asserted-by":"crossref","unstructured":"Sabahi F, Ahmad MO, Swamy M. Content-based image retrieval using perceptual image hashing and hopfield neural network. In: IEEE international midwest symposium on circuits and systems, IEEE; 2018. p. 352\u2013355.","DOI":"10.1109\/MWSCAS.2018.8623902"},{"key":"734_CR50","unstructured":"Snoek J, Larochelle H, Adams RP. Practical bayesian optimization of machine learning algorithms. In: Advances in neural information processing systems; 2012. p. 2951\u20132959."},{"issue":"1","key":"734_CR51","doi-asserted-by":"publisher","first-page":"129","DOI":"10.1007\/s40031-016-0223-y","volume":"98","author":"PS Suhasini","year":"2017","unstructured":"Suhasini PS, Krishna KSR, Krishna IM. Content based image retrieval based on different global and local color histogram methods: a survey. J Inst Eng India Ser B. 2017; 98(1):129\u2013135.","journal-title":"J Inst Eng (India) Ser B."},{"key":"734_CR52","doi-asserted-by":"publisher","first-page":"182","DOI":"10.1016\/j.neucom.2019.09.065","volume":"377","author":"LP Valem","year":"2020","unstructured":"Valem LP, Pedronette DCG (2020) Unsupervised selective rank fusion for image retrieval tasks. Neurocomputing 377:182\u2013199.","journal-title":"Neurocomputing"},{"key":"734_CR53","doi-asserted-by":"crossref","unstructured":"Vasileva MI, Plummer BA, Dusad K, Rajpal S, Kumar R, Forsyth D. Learning type-aware embeddings for fashion compatibility. In: European conference on computer vision; 2018. p. 390\u2013405.","DOI":"10.1007\/978-3-030-01270-0_24"},{"issue":"6","key":"734_CR54","doi-asserted-by":"publisher","first-page":"1335","DOI":"10.1016\/j.jvcir.2014.05.005","volume":"25","author":"E Walia","year":"2014","unstructured":"Walia E, Pal A (2014) Fusion framework for effective color image retrieval. Journal of Visual Communication and Image Representation 25(6), 1335\u20131348.","journal-title":"J Vis Commun Image Represent"},{"key":"734_CR55","doi-asserted-by":"crossref","unstructured":"Wan J, Wang D, Hoi SCH, Wu P, Zhu J, Zhang Y, Li J. Deep learning for content-based image retrieval: A comprehensive study. In: Proceedings of the 22nd ACM international conference on multimedia; 2014. p. 157\u2013166.","DOI":"10.1145\/2647868.2654948"},{"issue":"1","key":"734_CR56","doi-asserted-by":"publisher","first-page":"59","DOI":"10.1016\/j.csi.2010.03.004","volume":"33","author":"XY Wang","year":"2011","unstructured":"Wang XY, Yu YJ, Yang HY. An effective image retrieval scheme using color, texture and shape features. Computer Standards & Interfaces. 2011;33(1):59\u201368.","journal-title":"Comput Stand Interfaces"},{"key":"734_CR57","doi-asserted-by":"crossref","unstructured":"Wang W, Xu Y, Shen J, Zhu SC. Attentive fashion grammar network for fashion landmark detection and clothing category classification. In: IEEE conference on computer vision and pattern recognition; 2018. p. 4271\u20134280.","DOI":"10.1109\/CVPR.2018.00449"},{"key":"734_CR58","doi-asserted-by":"crossref","unstructured":"Xu J, Shi C, Qi C, Wang C, Xiao B. Unsupervised part-based weighting aggregation of deep convolutional features for image retrieval. In: AAAI conference on artificial intelligence; 2018.","DOI":"10.1609\/aaai.v32i1.12231"},{"issue":"1","key":"734_CR59","doi-asserted-by":"publisher","first-page":"183","DOI":"10.1109\/21.87068","volume":"18","author":"RR Yager","year":"1988","unstructured":"Yager RR. On ordered weighted averaging aggregation operators in multicriteria decisionmaking. IEEE Trans Syst Man Cybern. 1988;18(1):183\u201390.","journal-title":"IEEE Trans Syst Man Cybern"},{"key":"734_CR60","doi-asserted-by":"crossref","unstructured":"Yang X, He X, Wang X, Ma Y, Feng F, Wang M, Chua TS. Interpretable fashion matching with rich attributes. In: Special interest group on information retrieval; 2019.","DOI":"10.1145\/3331184.3331242"},{"issue":"1","key":"734_CR61","doi-asserted-by":"publisher","first-page":"87","DOI":"10.1016\/S1665-6423(14)71609-8","volume":"12","author":"M Yasmin","year":"2014","unstructured":"Yasmin M, Mohsin S, Sharif M. Intelligent image retrieval techniques: a survey. Journal of applied research and technology. 2014;12(1):87\u2013103.","journal-title":"J Appl Res Technol"},{"issue":"8","key":"734_CR62","doi-asserted-by":"publisher","first-page":"6211","DOI":"10.1007\/s12517-014-1584-7","volume":"8","author":"ZS Younus","year":"2015","unstructured":"Younus ZS, Mohamad D, Saba T, Alkawaz MH, Rehman A, Al-Rodhaan M, Al-Dhelaan A (2015) Content-based image retrieval using pso and k-means clustering algorithm. Arabian Journal of Geosciences 8(8), 6211\u20136224.","journal-title":"Arab J Geosci"},{"issue":"9","key":"734_CR63","doi-asserted-by":"publisher","first-page":"2400","DOI":"10.1109\/TMM.2018.2804763","volume":"20","author":"J Zhang","year":"2018","unstructured":"Zhang J, Peng Y (2018) Query-adaptive image retrieval by deep-weighted hashing. IEEE Transactions on Multimedia 20(9), 2400\u20132414.","journal-title":"IEEE Trans Multimedia"},{"issue":"5","key":"734_CR64","doi-asserted-by":"publisher","first-page":"3345","DOI":"10.3934\/mbe.2019167","volume":"16","author":"J Zhang","year":"2019","unstructured":"Zhang J, Lu C, Li X, Kim HJ, Wang J (2019) A full convolutional network based on densenet for remote sensing scene classification. Math Biosci Eng 16(5), 3345\u20133367.","journal-title":"Math Biosci Eng"},{"key":"734_CR65","unstructured":"Zhao F, Huang Y, Wang L, Tan T. Deep semantic ranking based hashing for multi-label image retrieval. In: IEEE conference on computer vision and pattern recognition; 2015. p. 1556\u20131564."},{"key":"734_CR66","doi-asserted-by":"crossref","unstructured":"Zhao B, Feng J, Wu X, Yan S. Memory-augmented attribute manipulation networks for interactive fashion search. In: IEEE conference on computer vision and pattern recognition; 2017. p. 1520\u20131528.","DOI":"10.1109\/CVPR.2017.652"},{"key":"734_CR67","doi-asserted-by":"crossref","unstructured":"Zheng S, Yang F, Kiapour MH, Piramuthu R. Modanet: a large-scale street fashion dataset with polygon annotations. In: ACM multimedia conference on multimedia conference, ACM, 2018. p. 1670\u20131678.","DOI":"10.1145\/3240508.3240652"},{"key":"734_CR68","doi-asserted-by":"publisher","first-page":"112","DOI":"10.1016\/j.jvcir.2019.03.003","volume":"61","author":"W Zhou","year":"2019","unstructured":"Zhou W, Mok P, Zhou Y, Zhou Y, Shen J, Qu Q, Chau K. Fashion recommendations through cross-media information retrieval. Journal of Visual Communication and Image Representation. 2019;61:112\u201320.","journal-title":"J Vis Commun Image Represent"},{"issue":"2","key":"734_CR69","doi-asserted-by":"publisher","first-page":"472","DOI":"10.1109\/TKDE.2016.2562624","volume":"29","author":"L Zhu","year":"2016","unstructured":"Zhu L, Shen J, Xie L, Cheng Z. Unsupervised visual hashing with semantic assistant for content-based image retrieval. IEEE Transactions on Knowledge and Data Engineering. 2016;29(2):472\u201386.","journal-title":"IEEE Trans Knowl Data Eng"}],"container-title":["SN Computer Science"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s42979-021-00734-1.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s42979-021-00734-1\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s42979-021-00734-1.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,12,31]],"date-time":"2022-12-31T01:28:41Z","timestamp":1672450121000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s42979-021-00734-1"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,6,14]]},"references-count":69,"journal-issue":{"issue":"4","published-print":{"date-parts":[[2021,7]]}},"alternative-id":["734"],"URL":"https:\/\/doi.org\/10.1007\/s42979-021-00734-1","relation":{},"ISSN":["2662-995X","2661-8907"],"issn-type":[{"value":"2662-995X","type":"print"},{"value":"2661-8907","type":"electronic"}],"subject":[],"published":{"date-parts":[[2021,6,14]]},"assertion":[{"value":"9 January 2021","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"7 June 2021","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"14 June 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 declare that there is no conflict of interest regarding the publication of this paper.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Conflict of interest"}},{"value":"This article does not contain any studies with human participants or animals performed by any of the authors.","order":3,"name":"Ethics","group":{"name":"EthicsHeading","label":"Ethical approval"}},{"value":"Informed consent was obtained from all individual participants included in the study.","order":4,"name":"Ethics","group":{"name":"EthicsHeading","label":"Informed consent"}}],"article-number":"336"}}