{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,27]],"date-time":"2025-03-27T14:33:02Z","timestamp":1743085982481,"version":"3.40.3"},"publisher-location":"Cham","reference-count":24,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783030598297"},{"type":"electronic","value":"9783030598303"}],"license":[{"start":{"date-parts":[[2020,1,1]],"date-time":"2020-01-01T00:00:00Z","timestamp":1577836800000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2020,1,1]],"date-time":"2020-01-01T00:00:00Z","timestamp":1577836800000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2020]]},"DOI":"10.1007\/978-3-030-59830-3_46","type":"book-chapter","created":{"date-parts":[[2020,10,8]],"date-time":"2020-10-08T23:04:34Z","timestamp":1602198274000},"page":"538-546","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":2,"title":["Image Orientation Detection Using Convolutional Neural Network"],"prefix":"10.1007","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-3906-658X","authenticated-orcid":false,"given":"Hongjian","family":"Zhan","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xiao","family":"Tu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2623-1379","authenticated-orcid":false,"given":"Shujing","family":"Lyu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4062-6553","authenticated-orcid":false,"given":"Yue","family":"Lu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2020,10,9]]},"reference":[{"issue":"3","key":"46_CR1","doi-asserted-by":"publisher","first-page":"247","DOI":"10.1007\/s10044-006-0059-1","volume":"10","author":"S Baluja","year":"2007","unstructured":"Baluja, S.: Automated image-orientation detection: a scalable boosting approach. Pattern Anal. Appl. 10(3), 247\u2013263 (2007)","journal-title":"Pattern Anal. Appl."},{"key":"46_CR2","doi-asserted-by":"crossref","unstructured":"Chen, Y.: Learning orientation-estimation convolutional neural network for building detection in optical remote sensing image. CoRR abs\/1903.05862 (2019)","DOI":"10.1109\/DICTA.2018.8615859"},{"key":"46_CR3","doi-asserted-by":"crossref","unstructured":"Hassan, M.A., Sazonov, E.: Orientation-based food image capture for head mounted egocentric camera. In: 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2019, Berlin, Germany, 23\u201327 July, 2019, pp. 7145\u20137148 (2019)","DOI":"10.1109\/EMBC.2019.8857078"},{"key":"46_CR4","unstructured":"Ioffe, S., Szegedy, C.: Batch normalization: accelerating deep network training by reducing internal covariate shift. arXiv preprint arXiv:1502.03167 (2015)"},{"key":"46_CR5","doi-asserted-by":"crossref","unstructured":"Jia, Y., et al.: Caffe: convolutional architecture for fast feature embedding. arXiv preprint arXiv:1408.5093 (2014)","DOI":"10.1145\/2647868.2654889"},{"issue":"4","key":"46_CR6","first-page":"41","volume":"8","author":"D Kumar","year":"2018","unstructured":"Kumar, D., Singh, R.: Multi orientation text detection in natural imagery: a comparative survey. IJCVIP 8(4), 41\u201356 (2018)","journal-title":"IJCVIP"},{"issue":"10","key":"46_CR7","doi-asserted-by":"publisher","first-page":"1426","DOI":"10.1007\/s11263-019-01196-y","volume":"127","author":"J Lee","year":"2019","unstructured":"Lee, J., Yoon, K.: Joint estimation of camera orientation and vanishing points from an image sequence in a non-manhattan world. Int. J. Comput. Vision 127(10), 1426\u20131442 (2019)","journal-title":"Int. J. Comput. Vision"},{"key":"46_CR8","doi-asserted-by":"publisher","first-page":"41261","DOI":"10.1109\/ACCESS.2019.2904272","volume":"7","author":"J Li","year":"2019","unstructured":"Li, J., Zhang, H., Wang, J., Xiao, Y., Wan, W.: Orientation-aware saliency guided JND model for robust image watermarking. IEEE Access 7, 41261\u201341272 (2019)","journal-title":"IEEE Access"},{"issue":"5","key":"46_CR9","doi-asserted-by":"publisher","first-page":"715","DOI":"10.1109\/TPAMI.2005.96","volume":"27","author":"J Luo","year":"2005","unstructured":"Luo, J., Boutell, M.: A probabilistic approach to image orientation detection via confidence-based integration of low level and semantic cues. IEEE Trans. Pattern Anal. Mach. Intell. 27(5), 715\u2013726 (2005)","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"key":"46_CR10","doi-asserted-by":"crossref","unstructured":"Morra, L., Famouri, S., Karakus, H.C., Lamberti, F.: Automatic detection of canonical image orientation by convolutional neural networks. In: IEEE 23rd International Symposium on Consumer Technologies, ISCT 2019, Ancona, Italy, June 19\u201321, 2019, pp. 118\u2013123 (2019)","DOI":"10.1109\/ISCE.2019.8901005"},{"key":"46_CR11","doi-asserted-by":"crossref","unstructured":"Olmschenk, G., Tang, H., Zhu, Z.: Pitch and roll camera orientation from a single 2D image using convolutional neural networks. In: 14th Conference on Computer and Robot Vision, CRV 2017, Edmonton, AB, Canada, 16\u201319 May, 2017, pp. 261\u2013268 (2017)","DOI":"10.1109\/CRV.2017.53"},{"key":"46_CR12","doi-asserted-by":"crossref","first-page":"185750","DOI":"10.1109\/ACCESS.2019.2959666","volume":"7","author":"M Prince","year":"2019","unstructured":"Prince, M., Alsuhibany, S.A., Siddiqi, N.A.: A step towards the optimal estimation of image orientation. IEEE Access 7, 185750\u2013185759 (2019)","journal-title":"IEEE Access"},{"issue":"3","key":"46_CR13","doi-asserted-by":"publisher","first-page":"211","DOI":"10.1007\/s11263-015-0816-y","volume":"115","author":"O Russakovsky","year":"2015","unstructured":"Russakovsky, O., et al.: ImageNet large scale visual recognition challenge. Int. J. Comput. Vision 115(3), 211\u2013252 (2015). https:\/\/doi.org\/10.1007\/s11263-015-0816-y","journal-title":"Int. J. Comput. Vision"},{"key":"46_CR14","unstructured":"Simonyan, K., Zisserman, A.: Very deep convolutional networks for large-scale image recognition. arXiv preprint arXiv:1409.1556 (2014)"},{"issue":"1","key":"46_CR15","first-page":"1929","volume":"15","author":"N Srivastava","year":"2014","unstructured":"Srivastava, N., Hinton, G.E., Krizhevsky, A., Sutskever, I., Salakhutdinov, R.: Dropout: a simple way to prevent neural networks from overfitting. J. Mach. Learn. Res. 15(1), 1929\u20131958 (2014)","journal-title":"J. Mach. Learn. Res."},{"key":"46_CR16","first-page":"1097","volume":"19","author":"I Sutskever","year":"2012","unstructured":"Sutskever, I., Hinton, G.E., Krizhevsky, A.: Imagenet classification with deep convolutional neural networks. Adv. Neural Inf. Process. Syst. 19, 1097\u20131105 (2012)","journal-title":"Adv. Neural Inf. Process. Syst."},{"key":"46_CR17","doi-asserted-by":"crossref","unstructured":"Szegedy, C., Ioffe, S., Vanhoucke, V., Alemi, A.: Inception-v4, inception-ResNet and the impact of residual connections on learning. arXiv preprint arXiv:1602.07261 (2016)","DOI":"10.1609\/aaai.v31i1.11231"},{"key":"46_CR18","doi-asserted-by":"crossref","unstructured":"Szegedy, C.: Going deeper with convolutions. In: Computer Vision and Pattern Recognition, pp. 1\u20139 (2014)","DOI":"10.1109\/CVPR.2015.7298594"},{"key":"46_CR19","doi-asserted-by":"crossref","unstructured":"Szegedy, C., Vanhoucke, V., Ioffe, S., Shlens, J., Wojna, Z.: Rethinking the inception architecture for computer vision. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 2818\u20132826 (2016)","DOI":"10.1109\/CVPR.2016.308"},{"issue":"7","key":"46_CR20","doi-asserted-by":"publisher","first-page":"746","DOI":"10.1109\/TIP.2002.801590","volume":"11","author":"A Vailaya","year":"2002","unstructured":"Vailaya, A., Zhang, H., Yang, C., Liu, F.I., Jain, A.K.: Automatic image orientation detection. IEEE Trans. Image Process. 11(7), 746\u2013755 (2002)","journal-title":"IEEE Trans. Image Process."},{"key":"46_CR21","doi-asserted-by":"crossref","unstructured":"Wang, J., Wan, W., Li, X.X., Sun, J.D., Zhang, H.X.: Color image watermarking based on orientation diversity and color complexity. Expert Syst. Appl. 140 (2020)","DOI":"10.1016\/j.eswa.2019.112868"},{"key":"46_CR22","doi-asserted-by":"publisher","first-page":"102866","DOI":"10.1016\/j.cviu.2019.102866","volume":"191","author":"M Wu","year":"2020","unstructured":"Wu, M., Han, C., Guo, T., Zhao, T.: Registration and matching method for directed point set with orientation attributes and local information. Comput. Vis. Image Underst. 191, 102866 (2020)","journal-title":"Comput. Vis. Image Underst."},{"key":"46_CR23","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"818","DOI":"10.1007\/978-3-319-10590-1_53","volume-title":"Computer Vision \u2013 ECCV 2014","author":"MD Zeiler","year":"2014","unstructured":"Zeiler, M.D., Fergus, R.: Visualizing and understanding convolutional networks. In: Fleet, D., Pajdla, T., Schiele, B., Tuytelaars, T. (eds.) ECCV 2014. LNCS, vol. 8689, pp. 818\u2013833. Springer, Cham (2014). https:\/\/doi.org\/10.1007\/978-3-319-10590-1_53"},{"key":"46_CR24","unstructured":"Zhang, L., Li, M., Zhang, H.J.: Boosting image orientation detection with indoor vs. outdoor classification. In: Proceedings of the Sixth IEEE Workshop on Applications of Computer Vision, pp. 95\u201399. IEEE (2002)"}],"container-title":["Lecture Notes in Computer Science","Pattern Recognition and Artificial Intelligence"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-59830-3_46","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,3,12]],"date-time":"2024-03-12T13:34:50Z","timestamp":1710250490000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-030-59830-3_46"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020]]},"ISBN":["9783030598297","9783030598303"],"references-count":24,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-59830-3_46","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2020]]},"assertion":[{"value":"9 October 2020","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"ICPRAI","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Pattern Recognition and Artificial Intelligence","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Zhongshan","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"China","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2020","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"19 October 2020","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"23 October 2020","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"icprai2020","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/www.icprai2020.com","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Single-blind","order":1,"name":"type","label":"Type","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"EasyChair","order":2,"name":"conference_management_system","label":"Conference Management System","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"77","order":3,"name":"number_of_submissions_sent_for_review","label":"Number of Submissions Sent for Review","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"49","order":4,"name":"number_of_full_papers_accepted","label":"Number of Full Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"14","order":5,"name":"number_of_short_papers_accepted","label":"Number of Short Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"64% - The value is computed by the equation \"Number of Full Papers Accepted \/ Number of Submissions Sent for Review * 100\" and then rounded to a whole number.","order":6,"name":"acceptance_rate_of_full_papers","label":"Acceptance Rate of Full Papers","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"1,99","order":7,"name":"average_number_of_reviews_per_paper","label":"Average Number of Reviews per Paper","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"4,11","order":8,"name":"average_number_of_papers_per_reviewer","label":"Average Number of Papers per Reviewer","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"Yes","order":9,"name":"external_reviewers_involved","label":"External Reviewers Involved","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}}]}}