Reverse-search system of similar or identical images

Simple item page
dc.citation.epage138
dc.citation.spage129
dc.contributor.affiliationInformation Systems and Network Department, Lviv Polytechnic National University
dc.contributor.authorVeres, Oleh
dc.contributor.authorKis, Yaroslav
dc.contributor.authorKugivchak, Vladyslav
dc.contributor.authorRishniak, Igor
dc.coverage.placenameLviv
dc.coverage.temporal25-27 June 2018
dc.date.accessioned2018-09-03T11:41:10Z
dc.date.available2018-09-03T11:41:10Z
dc.date.created2018-06-25
dc.date.issued2018-06-25
dc.description.abstractThe article algorithms of image analysis on the number of errors of operation are investigated. The prototype of the system was created, and testing of the described methods was carried out. The result of the analysis became the basis for the information system project of reverse search of similar or identical images.
dc.format.extent129-138
dc.format.pages10
dc.identifier.citationReverse-search system of similar or identical images / Oleh Veres, Yaroslav Kis, Vladyslav Kugivchak, Igor Rishniak // Computational linguistics and intelligent systems, 25-27 June 2018. — Lviv : Lviv Polytechnic National University, 2018. — Vol 2 : Workshop. — P. 129–138. — (Section II. Intelligent Systems).
dc.identifier.citationenReverse-search system of similar or identical images / Oleh Veres, Yaroslav Kis, Vladyslav Kugivchak, Igor Rishniak // Computational linguistics and intelligent systems, 25-27 June 2018. — Lviv : Lviv Polytechnic National University, 2018. — Vol 2 : Workshop. — P. 129–138. — (Section II. Intelligent Systems).
dc.identifier.issn2523-4013
dc.identifier.urihttps://ena.lpnu.ua/handle/ntb/42559
dc.language.isoen
dc.publisherLviv Polytechnic National University
dc.relation.ispartofComputational linguistics and intelligent systems (2), 2018
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dc.relation.references29. Hamon, T., Grabar, N.: Unsupervised acquisition of morphological resources for Ukrainian. In: 1st International Conference Computational Linguistics and Intelligent Systems, COLINS, 20–30 (2017)
dc.relation.references30. Grabar, N., Hamon, T.: Creation of a multilingual aligned corpus with Ukrainian as the target language and its exploitation. In: 1st International Conference Computational Linguistics and Intelligent Systems, COLINS, 10–19 (2017)
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dc.relation.references32. Lande, D., Andrushchenko, V., Balagura, I.: An index of authors’ popularity for Internet encyclopedia. In: 1st International Conference Computational Linguistics and Intelligent Systems, COLINS, 47–55 (2017)
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dc.relation.references44. Kirkin, S., Melnyk, K.: Intelligent data processing in creating targeted advertising. In: 1st Inter. Conf. Computational Linguistics and Intelligent Systems, COLINS, 131–132 (2017)
dc.relation.references45. Hordienko, H., Ilchenko, M.: Development and computerization of an English term system in the fields of drilling and drilling rigs. In: 1st International Conference Computational Linguistics and Intelligent Systems, COLINS, 129–130 (2017)
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dc.relation.references47. Didusov, V., Kochueva, Z.: Statistical methods usage of descriptive statistics in corpus linguistic. In: 1st International Conference Computational Linguistics and Intelligent Systems, COLINS, 125–126 (2017)
dc.relation.references48. Verbinenko, Yu.: Discursive units in scientific texts. In: 1st International Conference Computational Linguistics and Intelligent Systems, COLINS, 120–123 (2017)
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dc.relation.referencesen1. Shapiro, L., Stockman, G., Computer vision. Washington University (2006)
dc.relation.referencesen2. Biloshchytsʹkyy, A., Dikhtyarenko, O., The effectiveness of methods for finding matches in texts. In: Managing the development of complex systems, 14, 144–147 (2013)
dc.relation.referencesen3. Shozda, N., Searching for textures in large databases. In: Informatics, Cybernetics and Computing. Donetsk. Ukraine, 39, 182 - 187 (2002)
dc.relation.referencesen4. Biloshchytsʹkyy, A., Dikhtyarenko, O., Optimize the match search system by using algorithms for locally sensitive hashing of text data sets. In: Managing the development of complex systems, 19, 113-117 (2014)
dc.relation.referencesen5. Alcantarilla, P., Nuevo, J., Bartoli, A., Fast Explicit Diffusion for Accelerated Features in Nonlinear Scale Spaces. British Machine Vision Conference (BMVC), (2013)
dc.relation.referencesen6. Grewenig, S., Weickert, J., Schroers, C., Bruhn, A., Cyclic Schemes for PDEBased Image Analysis. In: International Journal of Computer Vision (2013)
dc.relation.referencesen7. Rublee, E., Rabaud, V., Konolige, K., Bradski, G., ORB: an efficient alternative to SIFT or SURF, Computer Vision. (ICCV). In: IEEE International Conference, 2564-2571 (2011)
dc.relation.referencesen8. Rosten, E., Drummond, T., Machine learning for high-speed corner detection. In: 9th European Conference on Computer Vision (ECCV), 430-443 (2006)
dc.relation.referencesen9. Yang, X., Cheng, K., LDB: An ultra-fast feature for scalable augmented reality. In: IEEE and ACM Intl. Sym. on Mixed and Augmented Reality (ISMAR), 49-57 (2012)
dc.relation.referencesen10. Calonder, M., Lepetit, V., Strecha, C., Fua, P., BRIEF: Binary Robust Independent Elementary Features. In: 11th European Conference on Computer Vision, 778-792 (2010)
dc.relation.referencesen11. Leutenegger, S., Chli, M., Siegwart, R., BRISK: Binary Robust Invariant Scalable Keypoints. Zurich, 2548-2555 (2011)
dc.relation.referencesen12. Litvin, V., Shakhovska, N. Designing Information Systems: Teaching. Lviv (2000)
dc.relation.referencesen13. Mashnin, T., JavaFX 2.0. Development of RIA applications. BHV-Petersburg. (2012)
dc.relation.referencesen14. Davis, M., Phillips, J., Studying PHP and MySQL. M ., Symbol-Plus (2008)
dc.relation.referencesen15. Shakhovska, N., Bolubash, Y., Veres, O., Big Data Federated Repository Model. In: The Experience of Designing and Application of CAD Systems in Microelectronics. (2015)
dc.relation.referencesen16. Shakhovska, N., Veres, O., Bolubash, Y., Bychkovska-Lipinska, L., Data space architecture for Big Data managering. In: Xth International Scientific and Technical Conference "Computer Sciences and Information Technologies" (CSIT), 184-187 (2015)
dc.relation.referencesen17. Veres, O., Shakhovska, N. Elements of the formal model big date. XI International Conference on Perspective Technologies and Methods in MEMS Design, 81-83 (2015).
dc.relation.referencesen18. Vysotska, V., Chyrun, L., Lytvyn, V., Methods based on ontologies for information resources processing. Germany: LAP LAMBERT Academic Publishing (2016).
dc.relation.referencesen19. Vysotska, V., Tekhnolohiyi elektronnoyi komertsiyi ta Internet-marketynhu. Saarbrücken, Germany: LAP LAMBERT Academic Publishing (2018)
dc.relation.referencesen20. Vysotska, V., Lytvyn, V., Web resources processing based on ontologies. Saarbrücken, Germany: LAP LAMBERT Academic Publishing (2018)
dc.relation.referencesen21. Vysotska, V., Shakhovska, N., Information technologies of gamification for training and recruitment. Saarbrücken, Germany: LAP LAMBERT Academic Publishing (2018)
dc.relation.referencesen22. Vysotska, V., Internet systems design and development based on Web Mining and NLP. Saarbrücken, Germany: LAP LAMBERT Academic Publishing (2018)
dc.relation.referencesen23. Vysotska, V., Computer linguistics for online marketing in information technology : Monograph. Saarbrücken, Germany: LAP LAMBERT Academic Publishing (2018)
dc.relation.referencesen24. Lytvyn, V., Vysotska, V., Chyrun, L., Smolarz, A., Naum O., Intelligent System Structure for Web Resources Processing and Analysis. In: 1st International Conference Computational Linguistics and Intelligent Systems, COLINS, 56-74 (2017)
dc.relation.referencesen25. Lytvyn, V., Vysotska, V., Wojcik, W., Dosyn, D., A Method of Construction of Automated Basic Ontology. In: 1st International Conference Computational Linguistics and Intelligent Systems, COLINS, 75-83 (2017)
dc.relation.referencesen26. Lytvynenko, V., Lurie, I., Radetska, S., Voronenko, M., Kornilovska, N., Partenjucha, D., Content analysis of some social media of the occupied territories of Ukraine. In: 1st Inter. Conference Computational Linguistics and Intelligent Systems, COLINS, 84–94 (2017)
dc.relation.referencesen27. Shepelev, G., Khairova, N., Methods of comparing interval objects in intelligent computer systems. In: 1st International Conference Computational Linguistics and Intelligent Systems, COLINS, 100–109 (2017)
dc.relation.referencesen28. Orobinska, O., Chauchat, J.-H., Sharonova, N., Methods and models of automatic ontology construction for specialized domains (case of the Radiation Security). In: 1st International Conference Computational Linguistics and Intelligent Systems, COLINS, 95–99 (2017)
dc.relation.referencesen29. Hamon, T., Grabar, N., Unsupervised acquisition of morphological resources for Ukrainian. In: 1st International Conference Computational Linguistics and Intelligent Systems, COLINS, 20–30 (2017)
dc.relation.referencesen30. Grabar, N., Hamon, T., Creation of a multilingual aligned corpus with Ukrainian as the target language and its exploitation. In: 1st International Conference Computational Linguistics and Intelligent Systems, COLINS, 10–19 (2017)
dc.relation.referencesen31. Hamon, T., Biomedical text mining. In: 1st International Conference Computational Linguistics and Intelligent Systems, COLINS, http://colins.in.ua/wpcontent/ uploads/2017/04/2017COLINS-THAMON-keynote.pdf (2017)
dc.relation.referencesen32. Lande, D., Andrushchenko, V., Balagura, I., An index of authors’ popularity for Internet encyclopedia. In: 1st International Conference Computational Linguistics and Intelligent Systems, COLINS, 47–55 (2017)
dc.relation.referencesen33. Lande, D., Creation of subject domain models on the basis of monitoring of network information resources. In: 1st Inter. Conference Computational Linguistics and Intelligent Systems, COLINS, http://colins.in.ua/wp-content/uploads/2017/04/Lande.pdf (2017)
dc.relation.referencesen34. Protsenko, Y., Intuition on modern deep learning approaches in computer vision. In: 1st International Conference Computational Linguistics and Intelligent Systems, COLINS, http://colins.in.ua/wp-content/uploads/2017/04/protsenko.pdf (2017)
dc.relation.referencesen35. Kolbasin, V., AI trends, or brief highlights of NIPS 2016. In: 1st International Conference Computational Linguistics and Intelligent Systems, COLINS, http://colins.in.ua/wpcontent/ uploads/2017/04/CoLlnS_TuS.pdf (2017)
dc.relation.referencesen36. Kersten, W., The Digital Transformation of the Industry – the Logistics Example. In: 1st International Conference Computational Linguistics and Intelligent Systems, COLINS, http://colins.in.ua/wp-content/uploads/2017/04/CoLlnS_TuS.pdf (2017)
dc.relation.referencesen37. Shalimov, V., Big Data – Revolution in Data Storage and Processing. In: 1st International Conference Computational Linguistics and Intelligent Systems, COLINS, http://colins.in.ua/wp-content/uploads/2017/04/BigData_eng.pdf (2017)
dc.relation.referencesen38. Hnot, T., Qualitative content analysis: expertise and case study. In: 1st Inter.l Conference Computational Linguistics and Intelligent Systems, COLINS, http://colins.in.ua/wpcontent/ uploads/2017/04/Qualitative-content-analysis_expertise-and-case-study.pdf (2017)
dc.relation.referencesen39. Romanyshyn, M., Grammatical Error Correction: why commas matter. In: 1st Inter. Conf. Computational Linguistics and Intelligent Systems, COLINS, http://colins.in.ua/wpcontent/ uploads/2017/04/Grammatical-Error-Correction-why-commas-matter.pdf. (2017)
dc.relation.referencesen40. Yukhno, K., Chubar, E., Gamification: today and tomorrow. In: 1st International Conference Computational Linguistics and Intelligent Systems, COLINS, 139–140 (2017)
dc.relation.referencesen41. Pidpruzhnikov, V., Ilchenko, M., Search optimization and localization of the website of Department of Applied Linguistics. In: 1st International Conference Computational Linguistics and Intelligent Systems, COLINS, 137–138 (2017)
dc.relation.referencesen42. Olifenko, I., Borysova, N., Analysis of existing German Corpora. In: 1st International Conference Computational Linguistics and Intelligent Systems, COLINS, 135–136 (2017)
dc.relation.referencesen43. Kolesnik, A., Khairova, N., Use of linguistic criteria for estimating of wikipedia articles quality. In: 1st International Conference Computational Linguistics and Intelligent Systems, COLINS, 133–134 (2017)
dc.relation.referencesen44. Kirkin, S., Melnyk, K., Intelligent data processing in creating targeted advertising. In: 1st Inter. Conf. Computational Linguistics and Intelligent Systems, COLINS, 131–132 (2017)
dc.relation.referencesen45. Hordienko, H., Ilchenko, M., Development and computerization of an English term system in the fields of drilling and drilling rigs. In: 1st International Conference Computational Linguistics and Intelligent Systems, COLINS, 129–130 (2017)
dc.relation.referencesen46. Gorbachov, V., Cherednichenko, O., Improving communication in enterprise solutions: challenges and opportunities. In: 1st International Conference Computational Linguistics and Intelligent Systems, COLINS, 127–128 (2017)
dc.relation.referencesen47. Didusov, V., Kochueva, Z., Statistical methods usage of descriptive statistics in corpus linguistic. In: 1st International Conference Computational Linguistics and Intelligent Systems, COLINS, 125–126 (2017)
dc.relation.referencesen48. Verbinenko, Yu., Discursive units in scientific texts. In: 1st International Conference Computational Linguistics and Intelligent Systems, COLINS, 120–123 (2017)
dc.relation.referencesen49. Titova, V., Gnatchuk, I., Evaluation ofa formalized model for classification of emergency situations. In: 1st International Conference Computational Linguistics and Intelligent Systems, COLINS, 110–119 (2017)
dc.relation.urihttp://colins.in.ua/wpcontent/
dc.relation.urihttp://colins.in.ua/wp-content/uploads/2017/04/Lande.pdf
dc.relation.urihttp://colins.in.ua/wp-content/uploads/2017/04/protsenko.pdf
dc.relation.urihttp://colins.in.ua/wp-content/uploads/2017/04/CoLlnS_TuS.pdf
dc.relation.urihttp://colins.in.ua/wp-content/uploads/2017/04/BigData_eng.pdf
dc.rights.holder© 2018 for the individual papers by the papers’ authors. Copying permitted only for private and academic purposes. This volume is published and copyrighted by its editors.
dc.subjectanalysis
dc.subjectdetector
dc.subjectdescriptor
dc.subjectimage
dc.subjectkey point
dc.subjectmethod
dc.subjectpixel
dc.subjecthashing
dc.titleReverse-search system of similar or identical images
dc.typeConference Abstract

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