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Tytuł artykułu

Choosing of typhlocommentator, description of subject in videocontent for sightless and visually impaired person

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Treść / Zawartość
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Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
The statement of problem of choosing of typhlocommentator is considered in this article, the description of the subject among the number of possible typhlocommentator. The mathematic model of such a task is given and an approach of solving it has been worked out. When researching the problem of access of weak-sight people to the video content, it is required to understand that more than a most part of the information is provided to the viewer in the form of an image. Yes, blind people hear all words of actors, sounds of the environment, processes at the screen, but it is difficult for them to identify the person to whom the specific words belong, what happens with heroes at the very specific moment, what is depicted in the given scene, it is difficult for them to understand reaction of actors, which the latter often express with the help of movements or mimics. Typhlocomments to video content for blind people and people with weak-sight are one of the real steps towards solution of the problem of limitation of access to such content.
Twórcy
autor
  • Department of Information Systems and Networks, Lviv Polytechnic National University, 79012, Lviv, Bandery st. 12, Ukraine
autor
  • Department of Information Systems and Networks, Lviv Polytechnic National University, 79012, Lviv, Bandery st. 12, Ukraine
Bibliografia
  • 1. Demchuk A. Video content for the blind people: metod audiodescription. Radio electronics, informatics and control. – Zaporizhzhia, ZNTU, 2014. – №1(30). – 1 46–149. (in Ukrainian).
  • 2. Lytvyn V. 2011. Knowledge Base of intelligent decision support systems / V.V.Lytvyn. – Lviv: Publishing House of Lviv Polytechnic University. – 240. (in Ukrainian).
  • 3. Gruber T. R. 1993. A translation approach to portale ontologies Knowledge Acquisition. No. 5 (2), 199–220.
  • 4. Dosyn D., Darevych R., Lytvyn V. and Dalyk U. 2006. New knowledge evaluation using massage model of NLT document Proceedings of the International Conference on Computer Science and Information Technologies, 118–119.
  • 5. Shakhovska N., Lytvyn V. and Medykovskyj M. 2012. Dataspace Class Algebraic System for Modeling Integrated Processes. Journal of applied computer science vol. 20 no. 1, 69–80.
  • 6. Dosyn D., Darevych R. and Lytvyn V. 2004. Modelling of the intelligent text recognition agents based on dynamic ontology Proceedings of the 4th International Conference „Internet – Education – Science . – Baku- Vinnytsia-Veliko Turnovo.
  • 7. LytvynV., Shakhovska N., PasichnykV. and Dosyn D. 2012. Searching the Relevant Precedents in Dataspaces Based on Adaptive Ontology. Computational Problems of Electrical Engineering. – Volume 2, Number 1. – Lviv, 75–81.
  • 8. Dosyn D. and Lytvyn V. 2012. Planning of Intelligent Diagnostics Systems Based Domain Ontology The VIIIth International Conference Perspective Technologies and Methods in MEMS Design. – Polyana, Ukraine, 103.
  • 9. Lytvyn V. 2010. Intelligent agent on the basis of adaptive ontologies construction / V. Lytvyn, D. Dosyn, M. Medykovskyj, N. Shakhovska // XIV International Conference System Modelling and Control. – Lodz, Poland. – 27–29.
  • 10. Lytvyn V. 2010. Modelling of Intellectual Agent Behavioral Plan Based on Petri Nets and Ontology Approach / V. Lytvyn, D. Dosyn, R. Darevych // The Vth International Conference “Computer science an information technologies 2010”. – Lviv.
  • 11. Booch G., Jacobson I. and Rumbaugh J. 2000. OMG Unified Modelling Language Specification.
  • 12. Lytvyn V. 2011. Searching the relevant precedents based on adaptive ontology / V/Lytvyn, N.Shakhovska, V.Pasichnyk, D.Dosyn // CPEE’2011. – Proceedings XII International Workshop “Computational Problems of Electrical Engineering. – IEEE. – Kostryna. – 43.
  • 13. Lytvyn V.V. 2011. The similarity metric of scientific papers summaries on the basis of adaptive ontologies / V.V.Lytvyn // Proceedings of VII-th international conference on perspective technologies and methods In MEMS design. – IEEE. –– Lviv-Polyana. – 162.
  • 14. Lytvyn V. 2011. Semantic Distance on the Basis of Adaptive Ontologies / V.Lytvyn // Proceedings of the VIth International Scientific and Technical Conference. – Lviv. – 16-19 November. –– 293–294.
  • 15. Demchuk A. 2014. Basic receptions and methods of typhlocomments / Information system and networks. – Lviv, №783. – 329-335. (in Ukrainian).
  • 16. Demchuk A. 2014. Audiodescription – as a method of video content adaptation for blind people./ Kazakhstan news of science. Almaty, №1 (119). –136–143. (in Russian)
  • 17. Demchuk A. 2014. Foundations of audiodescription. International Conference “Science and modernity: challenges XXI-st century” – Kyiv, 27-30. (in Ukrainian)
  • 18. Guarino N. 1995. Formal Ontology, Conceptual Analysis and Knowledge Representation International Journal of Human-Computer Studies. – № 43(5-6), 625–640.
  • 19. Lytvyn V. 2012. Intelligent Decision Support Systems Modeling Using Ontological Approach / Vasyl Lytvyn, Marjana Bojchuk, Marija Gopjak // Computer Science and Information Technologies (CSIT’2012): Proc. of the VII-th Int. Conf., (Lviv, 20-24 November, 2012).– Lviv: Publishing House Vezha&Co, 2012 – 72–73.
  • 20. Dosyn D., Lytvyn V. and Yatsenko A. 2012. DP-optimization of steel corrosion protection techniques in the intelligent diagnostic system FHММ. – №9, 329–333.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-21b578d4-7611-4848-9e81-3703e7842229
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