{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,28]],"date-time":"2025-10-28T15:13:10Z","timestamp":1761664390787,"version":"3.41.0"},"publisher-location":"New York, NY, USA","reference-count":26,"publisher":"ACM","license":[{"start":{"date-parts":[[2021,12,4]],"date-time":"2021-12-04T00:00:00Z","timestamp":1638576000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"funder":[{"name":"Shandong Provincial Natural Science Foundation of China,","award":["ZR2014FM016"],"award-info":[{"award-number":["ZR2014FM016"]}]},{"name":"Major Science and Technology Innovation Project of Shandong Province,","award":["2019JZZY010120"],"award-info":[{"award-number":["2019JZZY010120"]}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2021,12,4]]},"DOI":"10.1145\/3507548.3507564","type":"proceedings-article","created":{"date-parts":[[2022,3,9]],"date-time":"2022-03-09T23:12:40Z","timestamp":1646867560000},"page":"105-111","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":1,"title":["Texture Dataset Construction and Texture Image Retrieval based on Deep Learning"],"prefix":"10.1145","author":[{"given":"Zhisheng","family":"Zhang","sequence":"first","affiliation":[{"name":"School of Information&Electric Engineering, Shandong Jianzhu University, China"}]},{"given":"Huaijing","family":"Qu","sequence":"additional","affiliation":[{"name":"School of Information&Electric Engineering, Shandong Jianzhu University, China"}]},{"given":"Hengbin","family":"Wang","sequence":"additional","affiliation":[{"name":"School of Information&Electric Engineering, Shandong Jianzhu University, China"}]},{"given":"Jia","family":"Xu","sequence":"additional","affiliation":[{"name":"School of Information&Electric Engineering, Shandong Jianzhu University, China"}]},{"given":"Jiwei","family":"Wang","sequence":"additional","affiliation":[{"name":"School of Information&Electric Engineering, Shandong Jianzhu University, China"}]},{"given":"Yanan","family":"Wei","sequence":"additional","affiliation":[{"name":"School of Information&Electric Engineering, Shandong Jianzhu University, China"}]}],"member":"320","published-online":{"date-parts":[[2022,3,9]]},"reference":[{"key":"e_1_3_2_1_1_1","doi-asserted-by":"crossref","unstructured":"Li X. Yang J. Ma J. 2021. Recent developments of content-based image retrieval (CBIR). Neurocomputing.  Li X. Yang J. Ma J. 2021. Recent developments of content-based image retrieval (CBIR). Neurocomputing.","DOI":"10.1016\/j.neucom.2020.07.139"},{"key":"e_1_3_2_1_2_1","doi-asserted-by":"publisher","DOI":"10.1109\/WACV.2019.00070"},{"key":"e_1_3_2_1_3_1","doi-asserted-by":"publisher","DOI":"10.1109\/IWSSIP48289.2020.9145263"},{"key":"e_1_3_2_1_4_1","doi-asserted-by":"publisher","DOI":"10.1109\/34.531803"},{"volume-title":"Wavelet-based texture retrieval using generalized Gaussian density and Kullback-Leibler distance","author":"Do M.","key":"e_1_3_2_1_5_1","unstructured":"Do , M. , Vetterli , M. , 2002. Wavelet-based texture retrieval using generalized Gaussian density and Kullback-Leibler distance . IEEE transactions on image processing: a publication of the IEEE Signal Processing Society , 11 2, 146-58. Do, M., Vetterli, M., 2002. Wavelet-based texture retrieval using generalized Gaussian density and Kullback-Leibler distance. IEEE transactions on image processing: a publication of the IEEE Signal Processing Society, 11 2, 146-58."},{"key":"e_1_3_2_1_6_1","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2020.3043413"},{"key":"e_1_3_2_1_7_1","volume-title":"Describing Textures in the Wild. 2014 IEEE Conference on Computer Vision and Pattern Recognition, 3606-3613","author":"Cimpoi M.","year":"2014","unstructured":"Cimpoi , M. , Maji , S. , Kokkinos , I. , Mohamed , S. , & Vedaldi , A. 2014 . Describing Textures in the Wild. 2014 IEEE Conference on Computer Vision and Pattern Recognition, 3606-3613 . Available online: https:\/\/www.robots.ox.ac.uk\/\u223cvgg\/data\/dtd\/. Cimpoi, M., Maji, S., Kokkinos, I., Mohamed, S., & Vedaldi, A. 2014. Describing Textures in the Wild. 2014 IEEE Conference on Computer Vision and Pattern Recognition, 3606-3613. Available online: https:\/\/www.robots.ox.ac.uk\/\u223cvgg\/data\/dtd\/."},{"key":"e_1_3_2_1_8_1","unstructured":"Simonyan K. Zisserman A. 2015. Very Deep Convolutional Networks for Large-Scale Image Recognition. CoRR abs\/1409.1556.  Simonyan K. Zisserman A. 2015. Very Deep Convolutional Networks for Large-Scale Image Recognition. CoRR abs\/1409.1556."},{"key":"e_1_3_2_1_9_1","volume-title":"European Conference on Computer Vision - ECCV, 584\u2013599","author":"Babenko A.","year":"2014","unstructured":"Babenko , A. , Slesarev , A. , Chigorin , A., V. S. , 2014 . Lempitsky. Neural codes for image retrieval . In European Conference on Computer Vision - ECCV, 584\u2013599 . Babenko, A., Slesarev, A., Chigorin, A., V. S., 2014. Lempitsky. Neural codes for image retrieval. In European Conference on Computer Vision - ECCV, 584\u2013599."},{"key":"e_1_3_2_1_10_1","volume-title":"Multi-scale Orderless Pooling of Deep Convolutional Activation Features. European Conference on Computer Vision (ECCV), 392\u2013407","author":"Gong Y.","year":"2014","unstructured":"Gong , Y. , Wang , L. , Guo , R. , Lazebnik , S. , 2014 . Multi-scale Orderless Pooling of Deep Convolutional Activation Features. European Conference on Computer Vision (ECCV), 392\u2013407 . Gong, Y., Wang, L., Guo, R., Lazebnik, S., 2014. Multi-scale Orderless Pooling of Deep Convolutional Activation Features. European Conference on Computer Vision (ECCV), 392\u2013407."},{"key":"e_1_3_2_1_11_1","volume-title":"CNN Features Off-the-Shelf: An Astounding Baseline for Recognition. 2014 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 512-519","author":"Razavian A.","year":"2014","unstructured":"Razavian , A. , Azizpour , H. , Sullivan , J. , & Carlsson , S. , 2014 . CNN Features Off-the-Shelf: An Astounding Baseline for Recognition. 2014 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 512-519 . Razavian, A., Azizpour, H., Sullivan, J., & Carlsson, S., 2014. CNN Features Off-the-Shelf: An Astounding Baseline for Recognition. 2014 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 512-519."},{"key":"e_1_3_2_1_12_1","doi-asserted-by":"publisher","DOI":"10.3169\/mta.4.251"},{"key":"e_1_3_2_1_13_1","unstructured":"Babenko A Lempitsky V. 2015. Aggregating Deep Convolutional Features for Image Retrieval. Computer Science.  Babenko A Lempitsky V. 2015. Aggregating Deep Convolutional Features for Image Retrieval. Computer Science."},{"key":"e_1_3_2_1_14_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7299007"},{"key":"e_1_3_2_1_15_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7299107"},{"key":"e_1_3_2_1_16_1","unstructured":"Vision Texture. MIT Vision and Modeling Group. Available online: http:\/\/vismod.media.mit.edu\/pub\/VisTex\/.  Vision Texture. MIT Vision and Modeling Group. Available online: http:\/\/vismod.media.mit.edu\/pub\/VisTex\/."},{"key":"e_1_3_2_1_17_1","first-page":"1","article-title":"New Brodatz-Based Image Databases for Grayscale Color and Multiband Texture Analysis","volume":"2013","author":"Abdelmounaime S.","year":"2013","unstructured":"Abdelmounaime , S. , Dong -chen, H. 2013 . New Brodatz-Based Image Databases for Grayscale Color and Multiband Texture Analysis . International Scholarly Research Notices , 2013 , 1 - 14 . Available online: http:\/\/multibandtexture.recherche.usherbrooke.ca\/. Abdelmounaime, S., Dong-chen, H. 2013. New Brodatz-Based Image Databases for Grayscale Color and Multiband Texture Analysis. International Scholarly Research Notices, 2013, 1-14. Available online: http:\/\/multibandtexture.recherche.usherbrooke.ca\/.","journal-title":"International Scholarly Research Notices"},{"key":"e_1_3_2_1_18_1","unstructured":"Kwitt R. Meerwald P. Salzburg Texture Image Database. Available online: http:\/\/www.wavelab.at\/sources\/STex\/.  Kwitt R. Meerwald P. Salzburg Texture Image Database. Available online: http:\/\/www.wavelab.at\/sources\/STex\/."},{"key":"e_1_3_2_1_19_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.patrec.2008.10.005"},{"key":"e_1_3_2_1_20_1","doi-asserted-by":"publisher","DOI":"10.1145\/3065386"},{"key":"e_1_3_2_1_21_1","volume-title":"Deep Residual Learning for Image Recognition. 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 770-778","author":"He K.","year":"2016","unstructured":"He , K. , Zhang , X. , Ren , S. , Sun , J. , 2016 . Deep Residual Learning for Image Recognition. 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 770-778 . He, K., Zhang, X., Ren, S., Sun, J., 2016. Deep Residual Learning for Image Recognition. 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 770-778."},{"key":"e_1_3_2_1_22_1","doi-asserted-by":"publisher","DOI":"10.3390\/jimaging3040043"},{"key":"e_1_3_2_1_23_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2016.10.030"},{"key":"e_1_3_2_1_24_1","first-page":"3","volume":"2020","author":"Li C.","year":"2020","unstructured":"Li , C. , Liao , T. , Yang , X. , 2020 . Fast Texture Image Retrieval Using Learning Copula Model of Multiple DTCWT. 2020 : 3 - 15 . Li, C., Liao, T., Yang, X., 2020. Fast Texture Image Retrieval Using Learning Copula Model of Multiple DTCWT. 2020: 3-15.","journal-title":"Fast Texture Image Retrieval Using Learning Copula Model of Multiple DTCWT."},{"key":"e_1_3_2_1_25_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2019.04.003"},{"key":"e_1_3_2_1_26_1","doi-asserted-by":"crossref","unstructured":"Etemad S. Amirmazlaghani M. 2020. Color Texture Image Retrieval Based on Copula Multivariate Modeling in the Shearlet Domain. ArXiv abs\/2008.00910.  Etemad S. Amirmazlaghani M. 2020. Color Texture Image Retrieval Based on Copula Multivariate Modeling in the Shearlet Domain. ArXiv abs\/2008.00910.","DOI":"10.1016\/j.engappai.2021.104256"}],"event":{"name":"CSAI 2021: 2021 5th International Conference on Computer Science and Artificial Intelligence","acronym":"CSAI 2021","location":"Beijing China"},"container-title":["2021 5th International Conference on Computer Science and Artificial Intelligence"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3507548.3507564","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3507548.3507564","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T20:12:26Z","timestamp":1750191146000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3507548.3507564"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,12,4]]},"references-count":26,"alternative-id":["10.1145\/3507548.3507564","10.1145\/3507548"],"URL":"https:\/\/doi.org\/10.1145\/3507548.3507564","relation":{},"subject":[],"published":{"date-parts":[[2021,12,4]]},"assertion":[{"value":"2022-03-09","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}