| DC Field | Value | Language |
|---|
| dc.contributor.author | Sadek, Mansouri | |
| dc.contributor.author | Charhad, Mbarek | |
| dc.contributor.author | Rekik, Ali | |
| dc.contributor.author | Zrigui, Mounir | |
| dc.coverage.temporal | 21-25 August 2018, Lviv | |
| dc.date.accessioned | 2020-06-19T12:04:53Z | - |
| dc.date.available | 2020-06-19T12:04:53Z | - |
| dc.date.created | 2018-02-28 | |
| dc.date.issued | 2018-02-28 | |
| dc.identifier.citation | A Framework for Semantic Video Content Indexing Using Textual Information / Mansouri Sadek, Mbarek Charhad, Ali Rekik, Mounir Zrigui // Data stream mining and processing : proceedings of the IEEE second international conference, 21-25 August 2018, Lviv. — Львів : Lviv Politechnic Publishing House, 2018. — P. 107–110. — (Big Data & Data Science Using Intelligent Approaches). | |
| dc.identifier.isbn | © Національний університет „Львівська політехніка“, 2018 | |
| dc.identifier.isbn | © Національний університет „Львівська політехніка“, 2018 | |
| dc.identifier.uri | https://ena.lpnu.ua/handle/ntb/52470 | - |
| dc.description.abstract | In these last years, many works have been published
in the video indexing and retrieval field. H owever, e xcept some
specific c ases s uch a s s port v ideo w here i ts p ossible t o estimate
the set of important events and concepts in the document, this
research is generally limited to analyzing low level content. In
this paper, we introduce an approach for semantic video indexing
that combines two levels of descriptions. First, we extract
automatically textuel information from video frames.The second
part of our approach consists to exploit linguistic techniques and
semantic network in order to extract semantic concepts such as
person identity, location name, event type etc .These informations
are then used for semantic description of video content .Our
proposed approach was tested on video collection of Arabic TV
news and experimental results have been satisfying. | |
| dc.format.extent | 107-110 | |
| dc.language.iso | en | |
| dc.publisher | Lviv Politechnic Publishing House | |
| dc.relation.ispartof | Data stream mining and processing : proceedings of the IEEE second international conference, 2018 | |
| dc.subject | Arabic news video | |
| dc.subject | semantic indexing | |
| dc.subject | text detection | |
| dc.subject | conceptual network | |
| dc.title | A Framework for Semantic Video Content Indexing Using Textual Information | |
| dc.type | Conference Abstract | |
| dc.rights.holder | © Національний університет “Львівська політехніка”, 2018 | |
| dc.contributor.affiliation | LATICE Laboratory Higher institute of computer science Mednine | |
| dc.contributor.affiliation | Taiba university | |
| dc.contributor.affiliation | LATICE Laboratory FSM of Monastir | |
| dc.contributor.affiliation | Higher institute of computer science Gabes Unversity | |
| dc.format.pages | 4 | |
| dc.identifier.citationen | A Framework for Semantic Video Content Indexing Using Textual Information / Mansouri Sadek, Mbarek Charhad, Ali Rekik, Mounir Zrigui // Data stream mining and processing : proceedings of the IEEE second international conference, 21-25 August 2018, Lviv. — Lviv Politechnic Publishing House, 2018. — P. 107–110. — (Big Data & Data Science Using Intelligent Approaches). | |
| dc.relation.references | [1] C. Zhu, C.-E. Bichot and Liming Chen. Image region description using orthogonal combination of local binary patterns enhanced with color information. Pattern Recogn., vol. 46, no. 7, pages 19491963, July 2013. | |
| dc.relation.references | [2] R. Vieux, J. Benois-Pineau and J.-P. Domenger. Content based image retrieval using bag-of-regions. In Proceedings of the 18th international conference on Advances in Multimedia Modeling, MMM, 2012. | |
| dc.relation.references | [3] Yu. Ye, Xu. Rong, X. Yang, Y. Tian: Region Trajectories for Video Semantic Concept Detection. ICMR 2016: 255-259. | |
| dc.relation.references | [4] O. Zayene, J. Hennebert, S. M. Touj, R. Ingold, and N. E.“ Text Detection in Arabic news Video Based on SWT Operator and Convolutional Auto-encoders”. In Proc of 12th IAPR Workshop on Document Analysis Systems 2016. | |
| dc.relation.references | [5] Ch. Lhioui, A. Zouaghi, M. Zrigui“ Realization of Minimum Discursive Units Segmentation of Arab Oral Utterances”. Int. J. Comput. Linguistics Appl. 7(1): 31-50 (2016) | |
| dc.relation.references | [6] H. Saggion, H. Cunningham, K. Bontcheva, D. Maynard, O. Hamza, and Y. Wilks, “Multi-media indexing through multi-source and multilanguage information extraction: the MUMIS project,” Data and Knowledge Engineering, vol. 48, pp. 247264, 2004. | |
| dc.relation.references | [7] R. Basili, M. Cammisa, and E. Donati,“RitroveRAI: A web application for semantic index-ing and hyperlinking of multimedia news,” in Proceedings of the International Semantic Web Conference (ISWC), 2005. | |
| dc.relation.references | [8] M. Dowman, V. Tablan, H. Cunningham, and B. Popov, “Web-assisted annotation, semantic indexing and search of television and radio news,”in Proceedings of the International Con-ference on World Wide Web (WWW), 2005. | |
| dc.relation.references | [9] D. Kucuk, AYazc.“ A semi-automatic text-based semantic video annotation system for Turkish facilitating multilingual retrieval”. Expert Systems with Applications, 40(9), 3398-3411.(2013). | |
| dc.relation.references | [10] S. Mansouri, M. Charhad, M. Zrigui:“A Heuristic Approach to Detect and Localize Text on Arabic NewsVideo” Computacin y Sistemas Journal (2017)in press. | |
| dc.relation.references | [11] S. Mansouri, M. Charhad and M. Zrigui.“Arabic Text Detection in News Video based on Line Segment Detector”. International Journal of Research in Computing Science( 2017). | |
| dc.relation.references | [12] S. Mansouri,Ch. lhioui, M. Charhad and M. Zrigui . “Text-to-concept: a semantic indexing framework for Arabic News videos” 18th International Conference, CICLing 2017. | |
| dc.relation.references | [13] O. Zayene, J. Hennebert, S. M. Touj, R. Ingold, and N. E. BenAmara.“A dataset for arabic text detection, tracking and recognition in news videosAcTiV”. in Proc. of (ICDAR), Nancy, France, 2015. | |
| dc.relation.references | [14] C. Huizhong.“Robust Text Detection in Natural Images with Edge Enhanced Maximally Stable Extermal Regions”. IEEE ICPR 2011. | |
| dc.relation.references | [15] G. Lavee, E. Rivlin, and M. Rudzsky. Understanding video events: A survey of methods for automatic interpretation of semantic occurrences in video. IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews, 39(5):489504, 2009. | |
| dc.relation.references | [16] H. Saggion, H. Cunningham, K. Bontcheva, D. Maynard, O. Hamza, and Y. Wilks. Multimedia indexing through multi-source and multi-language information extraction: The MUMIS project. Data and Knowledge Engineering, 48(2):247264, 2004. | |
| dc.relation.references | [17] Y. Zhang, Ch. Xu, Y. Rui, J. Wang, and H. Lu. Semantic event extraction from basketball games using multimodal analysis. In Proceedings of the IEEE Conference on Multimedia and Expo (ICME), pages 21902193, 2007. | |
| dc.relation.referencesen | [1] C. Zhu, C.-E. Bichot and Liming Chen. Image region description using orthogonal combination of local binary patterns enhanced with color information. Pattern Recogn., vol. 46, no. 7, pages 19491963, July 2013. | |
| dc.relation.referencesen | [2] R. Vieux, J. Benois-Pineau and J.-P. Domenger. Content based image retrieval using bag-of-regions. In Proceedings of the 18th international conference on Advances in Multimedia Modeling, MMM, 2012. | |
| dc.relation.referencesen | [3] Yu. Ye, Xu. Rong, X. Yang, Y. Tian: Region Trajectories for Video Semantic Concept Detection. ICMR 2016: 255-259. | |
| dc.relation.referencesen | [4] O. Zayene, J. Hennebert, S. M. Touj, R. Ingold, and N. E." Text Detection in Arabic news Video Based on SWT Operator and Convolutional Auto-encoders". In Proc of 12th IAPR Workshop on Document Analysis Systems 2016. | |
| dc.relation.referencesen | [5] Ch. Lhioui, A. Zouaghi, M. Zrigui" Realization of Minimum Discursive Units Segmentation of Arab Oral Utterances". Int. J. Comput. Linguistics Appl. 7(1): 31-50 (2016) | |
| dc.relation.referencesen | [6] H. Saggion, H. Cunningham, K. Bontcheva, D. Maynard, O. Hamza, and Y. Wilks, "Multi-media indexing through multi-source and multilanguage information extraction: the MUMIS project," Data and Knowledge Engineering, vol. 48, pp. 247264, 2004. | |
| dc.relation.referencesen | [7] R. Basili, M. Cammisa, and E. Donati,"RitroveRAI: A web application for semantic index-ing and hyperlinking of multimedia news," in Proceedings of the International Semantic Web Conference (ISWC), 2005. | |
| dc.relation.referencesen | [8] M. Dowman, V. Tablan, H. Cunningham, and B. Popov, "Web-assisted annotation, semantic indexing and search of television and radio news,"in Proceedings of the International Con-ference on World Wide Web (WWW), 2005. | |
| dc.relation.referencesen | [9] D. Kucuk, AYazc." A semi-automatic text-based semantic video annotation system for Turkish facilitating multilingual retrieval". Expert Systems with Applications, 40(9), 3398-3411.(2013). | |
| dc.relation.referencesen | [10] S. Mansouri, M. Charhad, M. Zrigui:"A Heuristic Approach to Detect and Localize Text on Arabic NewsVideo" Computacin y Sistemas Journal (2017)in press. | |
| dc.relation.referencesen | [11] S. Mansouri, M. Charhad and M. Zrigui."Arabic Text Detection in News Video based on Line Segment Detector". International Journal of Research in Computing Science( 2017). | |
| dc.relation.referencesen | [12] S. Mansouri,Ch. lhioui, M. Charhad and M. Zrigui . "Text-to-concept: a semantic indexing framework for Arabic News videos" 18th International Conference, CICLing 2017. | |
| dc.relation.referencesen | [13] O. Zayene, J. Hennebert, S. M. Touj, R. Ingold, and N. E. BenAmara."A dataset for arabic text detection, tracking and recognition in news videosAcTiV". in Proc. of (ICDAR), Nancy, France, 2015. | |
| dc.relation.referencesen | [14] C. Huizhong."Robust Text Detection in Natural Images with Edge Enhanced Maximally Stable Extermal Regions". IEEE ICPR 2011. | |
| dc.relation.referencesen | [15] G. Lavee, E. Rivlin, and M. Rudzsky. Understanding video events: A survey of methods for automatic interpretation of semantic occurrences in video. IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews, 39(5):489504, 2009. | |
| dc.relation.referencesen | [16] H. Saggion, H. Cunningham, K. Bontcheva, D. Maynard, O. Hamza, and Y. Wilks. Multimedia indexing through multi-source and multi-language information extraction: The MUMIS project. Data and Knowledge Engineering, 48(2):247264, 2004. | |
| dc.relation.referencesen | [17] Y. Zhang, Ch. Xu, Y. Rui, J. Wang, and H. Lu. Semantic event extraction from basketball games using multimodal analysis. In Proceedings of the IEEE Conference on Multimedia and Expo (ICME), pages 21902193, 2007. | |
| dc.citation.conference | IEEE second international conference "Data stream mining and processing" | |
| dc.citation.spage | 107 | |
| dc.citation.epage | 110 | |
| dc.coverage.placename | Львів | |
| Appears in Collections: | Data stream mining and processing : proceedings of the IEEE second international conference
|
