{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,26]],"date-time":"2025-03-26T01:44:17Z","timestamp":1742953457448,"version":"3.40.3"},"publisher-location":"Cham","reference-count":16,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783030306441"},{"type":"electronic","value":"9783030306458"}],"license":[{"start":{"date-parts":[[2019,1,1]],"date-time":"2019-01-01T00:00:00Z","timestamp":1546300800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2019,1,1]],"date-time":"2019-01-01T00:00:00Z","timestamp":1546300800000},"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":[],"published-print":{"date-parts":[[2019]]},"DOI":"10.1007\/978-3-030-30645-8_44","type":"book-chapter","created":{"date-parts":[[2019,9,4]],"date-time":"2019-09-04T08:08:15Z","timestamp":1567584495000},"page":"477-487","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["Memory Efficient Deployment of an Optical Flow Algorithm on GPU Using OpenMP"],"prefix":"10.1007","author":[{"given":"Olfa","family":"Haggui","sequence":"first","affiliation":[]},{"given":"Claude","family":"Tadonki","sequence":"additional","affiliation":[]},{"given":"Fatma","family":"Sayadi","sequence":"additional","affiliation":[]},{"given":"Bouraoui","family":"Ouni","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2019,9,2]]},"reference":[{"key":"44_CR1","doi-asserted-by":"crossref","unstructured":"Mishra, A., Li, L., Kong, M.: Benchmarking and evaluating unified memory for OpenMP GPU offloading. In: Proceedings of the Fourth Workshop on the LLVM Compiler Infrastructure in HPC. ACM, New York (2017)","DOI":"10.1145\/3148173.3148184"},{"key":"44_CR2","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"51","DOI":"10.1007\/978-3-030-12274-4_3","volume-title":"Accelerator Programming Using Directives","author":"A Chikin","year":"2019","unstructured":"Chikin, A., Gobran, T., Amaral, J.N.: OpenMP code offloading: splitting GPU kernels, pipelining communication and computation, and selecting better grid geometries. In: Chandrasekaran, S., Juckeland, G., Wienke, S. (eds.) WACCPD 2018. LNCS, vol. 11381, pp. 51\u201374. Springer, Cham (2019). https:\/\/doi.org\/10.1007\/978-3-030-12274-4_3"},{"key":"44_CR3","doi-asserted-by":"crossref","unstructured":"Martineau, M., et al.: Performance analysis and optimization of Clang\u2019s OpenMP 4.5 GPU support. In: 2016 IEEE 7th International Workshop on Performance Modeling, Benchmarking and Simulation of High Performance Computer Systems (2016)","DOI":"10.1109\/PMBS.2016.011"},{"key":"44_CR4","doi-asserted-by":"crossref","unstructured":"Haggui, O., Tadonki, C., Sayadi, F., Bouraoui, O.: Efficient GPU implementation of Lucas-Kanade through OpenACC. In: Proceedings of the 14th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications, VISAPP, Prague, Czech Republic, vol. 5, 768\u2013775 (2019)","DOI":"10.5220\/0007272107680775"},{"key":"44_CR5","unstructured":"Lucas, B.D., Kanade, T.: An image registration technique with an application to stereo vision. In: Proceedings of Image Understanding Workshop, pp. 121\u2013130 (1981)"},{"issue":"185","key":"44_CR6","doi-asserted-by":"publisher","first-page":"185","DOI":"10.1016\/0004-3702(81)90024-2","volume":"17","author":"BKP Horn","year":"1981","unstructured":"Horn, B.K.P., Schunck, B.G.: Determining optical flow. Artif. Intell. 17(185), 185\u2013203 (1981)","journal-title":"Artif. Intell."},{"key":"44_CR7","volume-title":"The Perception of the Visual World","author":"J Gibson","year":"1950","unstructured":"Gibson, J.: The Perception of the Visual World. Houghton Mifflin, Boston (1950)"},{"issue":"3","key":"44_CR8","doi-asserted-by":"publisher","first-page":"221","DOI":"10.1023\/B:VISI.0000011205.11775.fd","volume":"56","author":"S Baker","year":"2004","unstructured":"Baker, S., Mattews, I.: Lucas Kanade 20 years on: a unifying framework. Int. J. Comput. Vis. 56(3), 221\u2013255 (2004)","journal-title":"Int. J. Comput. Vis."},{"issue":"10","key":"44_CR9","doi-asserted-by":"publisher","first-page":"1475","DOI":"10.1109\/TCSVT.2009.2026821","volume":"19","author":"M Anguita","year":"2009","unstructured":"Anguita, M., D\u0131az, J., Ros, E., Javier Fernandez-Baldomero, F.: Optimization strategies for high-performance computing of optical-flow in general-purpose processors. IEEE Trans. Circ. Syst. Video Technol. 19(10), 1475\u20131488 (2009)","journal-title":"IEEE Trans. Circ. Syst. Video Technol."},{"issue":"3","key":"44_CR10","doi-asserted-by":"publisher","first-page":"582","DOI":"10.1134\/S1054661816030111","volume":"26","author":"AV Kruglov","year":"2016","unstructured":"Kruglov, A.V., Kruglov, V.N.: Tracking of fast moving objects in real time. Pattern Recogn. Image Anal. 26(3), 582\u2013586 (2016). ISSN 1054-6618","journal-title":"Pattern Recogn. Image Anal."},{"key":"44_CR11","unstructured":"S\u00e1nchez, J., Monz\u00f3n L\u00f3pez, N., Salgado de la Nuez, A.J.: Parallel implementation of a robust optical flow technique. Las Palmas de Gran Canaria, 16 March 2012"},{"key":"44_CR12","unstructured":"P\u00e1l, I., Biemann, R., Baumgartner, S.V.: A comparison and validation approach for traffic data, acquired by airborne radar and optical sensors using parallelized Lucas-Kanade algorithm. VDE VERLAG GMBH Berlin Offenbach (2014). ISBN 978-3-8007-3607-2. ISSN 2197-4403"},{"key":"44_CR13","unstructured":"https:\/\/www.openmp.org\/wp-content\/uploads\/OpenMP4.0.0.pdf"},{"issue":"9","key":"44_CR14","doi-asserted-by":"publisher","first-page":"1073","DOI":"10.1109\/TC.2004.62","volume":"53","author":"Y Song","year":"2004","unstructured":"Song, Y., Xu, R., Wang, C., Li, Z.: Improving data locality by array contraction. IEEE Trans. Comput. 53(9), 1073\u20131084 (2004)","journal-title":"IEEE Trans. Comput."},{"key":"44_CR15","doi-asserted-by":"publisher","DOI":"10.1016\/j.future.2018.01.048","author":"O Haggui","year":"2018","unstructured":"Haggui, O., Tadonki, C., Lacassagne, L., Sayadi, F., Ouni, B.: Harris corner detection on a NUMA manycore. Future Gener. Comput. Syst. (2018). https:\/\/doi.org\/10.1016\/j.future.2018.01.048","journal-title":"Future Gener. Comput. Syst."},{"key":"44_CR16","doi-asserted-by":"crossref","unstructured":"Martin, N., Collado, J., Botella, G., Garcia, C., Prieto, M.: Manuel: OpenACC-based GPU acceleration of an optical flow algorithm. In: ACM Digital Library, SAC 2015, Salamanca, Spain, 13\u201317 April (2015)","DOI":"10.1145\/2695664.2695968"}],"container-title":["Lecture Notes in Computer Science","Image Analysis and Processing \u2013 ICIAP 2019"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-30645-8_44","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,9,4]],"date-time":"2023-09-04T00:07:17Z","timestamp":1693786037000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-030-30645-8_44"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019]]},"ISBN":["9783030306441","9783030306458"],"references-count":16,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-30645-8_44","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2019]]},"assertion":[{"value":"2 September 2019","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"ICIAP","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Image Analysis and Processing","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Trento","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Italy","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2019","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"9 September 2019","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"13 September 2019","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"20","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"iciap2019","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/event.unitn.it\/iciap2019\/","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":"CMT","order":2,"name":"conference_management_system","label":"Conference Management System","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"207","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":"117","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":"0","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":"57% - 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":"2.6","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","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":"No","order":9,"name":"external_reviewers_involved","label":"External Reviewers Involved","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"This content has been made available to all.","name":"free","label":"Free to read"}]}}