{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,31]],"date-time":"2025-03-31T04:51:27Z","timestamp":1743396687183},"reference-count":47,"publisher":"Springer Science and Business Media LLC","issue":"1","license":[{"start":{"date-parts":[[2023,7,17]],"date-time":"2023-07-17T00:00:00Z","timestamp":1689552000000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2023,7,17]],"date-time":"2023-07-17T00:00:00Z","timestamp":1689552000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["IJDAR"],"published-print":{"date-parts":[[2024,3]]},"DOI":"10.1007\/s10032-023-00447-6","type":"journal-article","created":{"date-parts":[[2023,7,17]],"date-time":"2023-07-17T11:02:12Z","timestamp":1689591732000},"page":"57-71","update-policy":"http:\/\/dx.doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":2,"title":["Attribute-based document image retrieval"],"prefix":"10.1007","volume":"27","author":[{"given":"Melissa","family":"Cote","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Alexandra","family":"Branzan\u00a0Albu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2023,7,17]]},"reference":[{"key":"447_CR1","first-page":"1","volume-title":"Visual Attributes. Advances in Computer Vision and Pattern Recognition","author":"RS Feris","year":"2017","unstructured":"Feris, R.S., et al.: Introduction to visual attributes. In: Feris, R.S., Lampert, C., Parikh, D. (eds.) Visual Attributes. Advances in Computer Vision and Pattern Recognition, pp. 1\u20137. Springer, Cham (2017)"},{"key":"447_CR2","doi-asserted-by":"crossref","unstructured":"Hwang, S.J., et al.: Sharing features between objects and their attributes. In: CVPR, IEEE, pp 1761\u20138 (2011)","DOI":"10.1109\/CVPR.2011.5995543"},{"issue":"1","key":"447_CR3","doi-asserted-by":"publisher","first-page":"013048","DOI":"10.1117\/1.JEI.28.1.013048","volume":"28","author":"F Zhang","year":"2019","unstructured":"Zhang, F., et al.: Grouped attribute strength-based image retrieval. J . Electron. Imaging 28(1), 013048 (2019)","journal-title":"J . Electron. Imaging"},{"issue":"3","key":"447_CR4","doi-asserted-by":"publisher","first-page":"453","DOI":"10.1109\/TPAMI.2013.140","volume":"36","author":"CH Lampert","year":"2013","unstructured":"Lampert, C.H., et al.: Attribute-based classification for zero-shot visual object categorization. IEEE Trans. Patt. Anal. Mach. Intell. 36(3), 453\u201365 (2013)","journal-title":"IEEE Trans. Patt. Anal. Mach. Intell."},{"key":"447_CR5","doi-asserted-by":"crossref","unstructured":"Liu, J., et al.: Recognizing human actions by attributes. In: CVPR, IEEE, pp 3337\u201344 (2011)","DOI":"10.1109\/CVPR.2011.5995353"},{"key":"447_CR6","doi-asserted-by":"crossref","unstructured":"Yan, X., et al.: Attribute2Image: Conditional image generation from visual attributes. In: ECCV, pp. 776\u201391. Springer, Cham (2016)","DOI":"10.1007\/978-3-319-46493-0_47"},{"issue":"12","key":"447_CR7","doi-asserted-by":"publisher","first-page":"2552","DOI":"10.1109\/TPAMI.2014.2339814","volume":"36","author":"J Almaz\u00e1n","year":"2014","unstructured":"Almaz\u00e1n, J., et al.: Word spotting and recognition with embedded attributes. IEEE Trans. Patt. Anal. Mach. Intell. 36(12), 2552\u201366 (2014)","journal-title":"IEEE Trans. Patt. Anal. Mach. Intell."},{"key":"447_CR8","unstructured":"Ferrari, V., Zisserman, A.: Learning visual attributes. Adv. Neural Inf. Process Syst. 433\u201340 (2007)"},{"key":"447_CR9","volume-title":"Human Memory: A Multimodal Approach","author":"J Engelkamp","year":"1994","unstructured":"Engelkamp, J., Zimmer, H.D.: Human Memory: A Multimodal Approach. Hogrefe & Huber Publishers, Seattle (1994)"},{"key":"447_CR10","doi-asserted-by":"crossref","unstructured":"Blanc-Brude, T., Scapin, D.L.: What do people recall about their documents? Implications for desktop search tools. In: IUI, ACM, pp 102\u201311 (2007)","DOI":"10.1145\/1216295.1216319"},{"issue":"12","key":"447_CR11","doi-asserted-by":"publisher","first-page":"2306","DOI":"10.1109\/TVCG.2013.234","volume":"19","author":"MA Borkin","year":"2013","unstructured":"Borkin, M.A., et al.: What makes a visualization memorable? IEEE Trans. Vis. Comput. Gr. 19(12), 2306\u201315 (2013)","journal-title":"IEEE Trans. Vis. Comput. Gr."},{"key":"447_CR12","doi-asserted-by":"publisher","first-page":"310","DOI":"10.1016\/j.patcog.2017.02.023","volume":"68","author":"AP Giotis","year":"2017","unstructured":"Giotis, A.P., et al.: A survey of document image word spotting techniques. Patt. Recognit. 68, 310\u201332 (2017)","journal-title":"Patt. Recognit."},{"issue":"2","key":"447_CR13","doi-asserted-by":"publisher","first-page":"346","DOI":"10.1109\/TMM.2013.2293063","volume":"16","author":"LY Duan","year":"2013","unstructured":"Duan, L.Y., et al.: Towards mobile document image retrieval for digital library. IEEE Trans. Multimed. 16(2), 346\u201359 (2013)","journal-title":"IEEE Trans. Multimed."},{"key":"447_CR14","doi-asserted-by":"publisher","first-page":"42","DOI":"10.1016\/j.patrec.2015.02.014","volume":"58","author":"SD Roy","year":"2015","unstructured":"Roy, S.D., et al.: Camera-based document image matching using multi-feature probabilistic information fusion. Patt. Recognit. Lett. 58, 42\u201350 (2015)","journal-title":"Patt. Recognit. Lett."},{"key":"447_CR15","doi-asserted-by":"crossref","unstructured":"Sharma, N., et al.: Signature and logo detection using deep CNN for document image retrieval. In: ICFHR, IEEE, pp 416\u201322 (2018)","DOI":"10.1109\/ICFHR-2018.2018.00079"},{"key":"447_CR16","doi-asserted-by":"crossref","unstructured":"Zhu, G., Doermann, D.: Logo matching for document image retrieval. In: ICDAR\u201909, IEEE, pp 606\u201310 (2009)","DOI":"10.1109\/ICDAR.2009.60"},{"key":"447_CR17","doi-asserted-by":"publisher","first-page":"398","DOI":"10.1016\/j.patrec.2020.02.002","volume":"131","author":"I Ubeda","year":"2020","unstructured":"Ubeda, I., et al.: Improving pattern spotting in historical documents using feature pyramid networks. Patt. Recognit. Lett. 131, 398\u2013404 (2020)","journal-title":"Patt. Recognit. Lett."},{"key":"447_CR18","doi-asserted-by":"crossref","unstructured":"Marinai, S., et al.: Layout based document image retrieval by means of XY tree reduction. In: ICDAR, IEEE, pp 432\u20136 (2005)","DOI":"10.1109\/ICDAR.2005.150"},{"key":"447_CR19","doi-asserted-by":"publisher","first-page":"119","DOI":"10.1016\/j.patrec.2013.10.030","volume":"43","author":"J Kumar","year":"2014","unstructured":"Kumar, J., et al.: Structural similarity for document image classification and retrieval. Patt. Recognit. Lett. 43, 119\u201326 (2014)","journal-title":"Patt. Recognit. Lett."},{"key":"447_CR20","first-page":"181","volume-title":"Learning Structure and Schemas from Documents, Studies in Computational Intelligence","author":"S Marinai","year":"2011","unstructured":"Marinai, S., et al.: Digital libraries and document image retrieval techniques: A survey. In: Biba, M., Xhafa, F. (eds.) Learning Structure and Schemas from Documents, Studies in Computational Intelligence, vol. 375, pp. 181\u2013204. Springer, Berlin (2011)"},{"key":"447_CR21","doi-asserted-by":"crossref","unstructured":"Siddiquie, B., et al.: Image ranking and retrieval based on multi-attribute queries. In: CVPR, IEEE, pp 801\u20138 (2011)","DOI":"10.1109\/CVPR.2011.5995329"},{"key":"447_CR22","doi-asserted-by":"crossref","unstructured":"Liu, Z., et al.: Deepfashion: Powering robust clothes recognition and retrieval with rich annotations. In: CVPR, IEEE, pp 1096\u2013104 (2016)","DOI":"10.1109\/CVPR.2016.124"},{"key":"447_CR23","doi-asserted-by":"crossref","unstructured":"Zhao, B., et al.: Memory-augmented attribute manipulation networks for interactive fashion search. In: CVPR, IEEE, pp 1520\u20138 (2017)","DOI":"10.1109\/CVPR.2017.652"},{"issue":"10","key":"447_CR24","doi-asserted-by":"publisher","first-page":"1962","DOI":"10.1109\/TPAMI.2011.48","volume":"33","author":"N Kumar","year":"2011","unstructured":"Kumar, N., et al.: Describable visual attributes for face verification and image search. IEEE Trans. Patt. Anal. Mach. Intell. 33(10), 1962\u201377 (2011)","journal-title":"IEEE Trans. Patt. Anal. Mach. Intell."},{"key":"447_CR25","doi-asserted-by":"publisher","first-page":"215","DOI":"10.1016\/j.neucom.2014.09.098","volume":"172","author":"L An","year":"2016","unstructured":"An, L., et al.: Scalable attribute-driven face image retrieval. Neurocomput. 172, 215\u201324 (2016)","journal-title":"Neurocomput."},{"key":"447_CR26","doi-asserted-by":"publisher","first-page":"44","DOI":"10.1186\/s13640-018-0282-x","volume":"2018","author":"Y Fang","year":"2018","unstructured":"Fang, Y., Yuan, Q.: Attribute-enhanced metric learning for face retrieval. EURASIP J. Image Video Process. 2018, 44 (2018)","journal-title":"EURASIP J. Image Video Process."},{"key":"447_CR27","doi-asserted-by":"crossref","unstructured":"Sandeep, R.N., et al.: Relative parts: Distinctive parts for learning relative attributes. In: CVPR, IEEE, pp 3614\u201321 (2014)","DOI":"10.1109\/CVPR.2014.462"},{"issue":"2","key":"447_CR28","doi-asserted-by":"publisher","first-page":"185","DOI":"10.1007\/s11263-015-0814-0","volume":"115","author":"A Kovashka","year":"2015","unstructured":"Kovashka, A., et al.: Whittlesearch: Interactive image search with relative attribute feedback. Int. J. Comput. Vis. 115(2), 185\u2013210 (2015)","journal-title":"Int. J. Comput. Vis."},{"key":"447_CR29","doi-asserted-by":"crossref","unstructured":"Yu, Z., Kovashka, A.: Syntharch: Interactive image search with attribute-conditioned synthesis. In: CVPRW, IEEE\/CVF, pp 170\u20131 (2020)","DOI":"10.1109\/CVPRW50498.2020.00093"},{"key":"447_CR30","doi-asserted-by":"crossref","unstructured":"Albu, A.B., Nagy, G.: Imaging reality and abstraction an exploration of natural and symbolic patterns. In: VISIGRAPP (VISAPP), SCITEPRESS, pp 415\u201322 (2021)","DOI":"10.5220\/0010295704150422"},{"issue":"9","key":"447_CR31","doi-asserted-by":"publisher","first-page":"2352","DOI":"10.1162\/neco_a_00990","volume":"29","author":"W Rawat","year":"2017","unstructured":"Rawat, W., Wang, Z.: Deep convolutional neural networks for image classification: A comprehensive review. Neural Comput. 29(9), 2352\u2013449 (2017)","journal-title":"Neural Comput."},{"key":"447_CR32","doi-asserted-by":"crossref","unstructured":"He, K., et al.: Deep residual learning for image recognition. In: CVPR, IEEE, pp 770\u20138 (2016)","DOI":"10.1109\/CVPR.2016.90"},{"key":"447_CR33","doi-asserted-by":"crossref","unstructured":"Huang, G., et al.: Densely connected convolutional networks. In: CVPR, IEEE, pp 4700\u20138 (2017)","DOI":"10.1109\/CVPR.2017.243"},{"key":"447_CR34","doi-asserted-by":"crossref","unstructured":"Szegedy, C., et al.: Rethinking the inception architecture for computer vision. In: CVPR, IEEE, pp 2818\u201326 (2016)","DOI":"10.1109\/CVPR.2016.308"},{"key":"447_CR35","doi-asserted-by":"crossref","unstructured":"Chollet, F.: Xception: Deep learning with depthwise separable convolutions. In: CVPR, IEEE, pp 1251\u20138 (2017)","DOI":"10.1109\/CVPR.2017.195"},{"key":"447_CR36","doi-asserted-by":"crossref","unstructured":"Szegedy, C., et al.: Inception-v4, Inception-ResNet and the impact of residual connections on learning. In: AAAI-17, pp 4278\u201384 (2017)","DOI":"10.1609\/aaai.v31i1.11231"},{"key":"447_CR37","unstructured":"Redmon, C., Farhadi, A.: Yolov3: An incremental improvement. arXiv preprint arXiv:1804.02767 (2018)"},{"key":"447_CR38","doi-asserted-by":"crossref","unstructured":"Zoph, B., et al.: Learning transferable architectures for scalable image recognition. In: CVPR, IEEE, pp 8697\u2013710 (2018)","DOI":"10.1109\/CVPR.2018.00907"},{"key":"447_CR39","unstructured":"Tan, M., Le, Q.: EfficientNet: Rethinking model scaling for convolutional neural networks. In: ICML, PMLR, pp 6105\u201314 (2019)"},{"key":"447_CR40","doi-asserted-by":"crossref","unstructured":"Zhang, C., et al.: ResNet or DenseNet? Introducing dense shortcuts to ResNet. In: WACV, IEEE\/CVF, pp 3550\u20139 (2021)","DOI":"10.1109\/WACV48630.2021.00359"},{"key":"447_CR41","doi-asserted-by":"publisher","first-page":"172231","DOI":"10.1109\/ACCESS.2019.2956508","volume":"7","author":"L Jiao","year":"2019","unstructured":"Jiao, L., Zhao, J.: A survey on the new generation of deep learning in image processing. IEEE Access 7, 172231\u201363 (2019)","journal-title":"IEEE Access"},{"key":"447_CR42","doi-asserted-by":"crossref","unstructured":"Zhong, X., et al.: PubLayNet: Largest dataset ever for document layout analysis. In: ICDAR, IEEE, pp 1015\u201322 (2019)","DOI":"10.1109\/ICDAR.2019.00166"},{"key":"447_CR43","doi-asserted-by":"crossref","unstructured":"Christlein, V., et al.: ICDAR 2019 competition on image retrieval for historical handwritten documents. In: ICDAR, IEEE, pp 1505\u20139 (2019)","DOI":"10.1109\/ICDAR.2019.00242"},{"key":"447_CR44","doi-asserted-by":"publisher","first-page":"58","DOI":"10.1186\/1687-6180-2013-58","volume":"2013","author":"A Tonazzini","year":"2013","unstructured":"Tonazzini, A., Bedini, L.: Restoration of recto-verso colour documents using correlated component analysis. EURASIP J. Adv. Sign. Process. 2013, 58 (2013)","journal-title":"EURASIP J. Adv. Sign. Process."},{"key":"447_CR45","doi-asserted-by":"crossref","unstructured":"Deng, J., et al.: Imagenet: A large-scale hierarchical image database. In: CVPR\u201909, IEEE, pp 248\u201355 (2009)","DOI":"10.1109\/CVPR.2009.5206848"},{"key":"447_CR46","volume-title":"An Introduction to Information Retrieval","author":"CD Manning","year":"2009","unstructured":"Manning, C.D., et al.: An Introduction to Information Retrieval. Cambridge University Press, Cambridge (2009)"},{"key":"447_CR47","unstructured":"US National Archives (2022) Project BLUE BOOK: Unidentified Flying Objects. https:\/\/www.archives.gov\/research\/military\/air-force\/ufos. Accessed 18 Jan 2022"}],"container-title":["International Journal on Document Analysis and Recognition (IJDAR)"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s10032-023-00447-6.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s10032-023-00447-6\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s10032-023-00447-6.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,2,15]],"date-time":"2024-02-15T04:33:13Z","timestamp":1707971593000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s10032-023-00447-6"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,7,17]]},"references-count":47,"journal-issue":{"issue":"1","published-print":{"date-parts":[[2024,3]]}},"alternative-id":["447"],"URL":"https:\/\/doi.org\/10.1007\/s10032-023-00447-6","relation":{},"ISSN":["1433-2833","1433-2825"],"issn-type":[{"value":"1433-2833","type":"print"},{"value":"1433-2825","type":"electronic"}],"subject":[],"published":{"date-parts":[[2023,7,17]]},"assertion":[{"value":"3 June 2022","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"9 December 2022","order":2,"name":"revised","label":"Revised","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"1 July 2023","order":3,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"17 July 2023","order":4,"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 competing interests to declare that are relevant to the content of this article.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Conflict of interest"}}]}}