Enriching videos with automatic place recognition in google maps

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Publicado en:Multimedia Tools and Applications vol. 81, no. 16 (Jul 2022), p. 23105
Autor principal: Fallucchi, Francesca
Otros Autores: Di Stabile, Rosario, Purificato, Erasmo, Giuliano, Romeo, De Luca, Ernesto William
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Springer Nature B.V.
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100 1 |a Fallucchi, Francesca  |u Guglielmo Marconi University, Rome, Italy (GRID:grid.440899.8) (ISNI:0000 0004 1780 761X); Georg Eckert Institute, Braunschweig, Germany (GRID:grid.461689.4) (ISNI:0000 0004 0562 8251) 
245 1 |a Enriching videos with automatic place recognition in google maps 
260 |b Springer Nature B.V.  |c Jul 2022 
513 |a Journal Article 
520 3 |a The availability of videos has grown rapidly in recent years. Finding and browsing relevant information to be automatically extracted from videos is not an easy task, but today it is an indispensable feature due to the immense number of digital products available. In this paper, we present a system which provides a process to automatically extract information from videos. We describe a system solution that uses a re-trained OpenNLP model to locate all the places and famous people included in a specific video. The system obtains information from the Google Knowledge Graph related to relevant named entities such as places or famous people. In this paper we will also present the Automatic Georeferencing Video (AGV) system developed by RAI (Radiotelevisione italiana, which is the national public broadcasting company of Italy, owned by the Ministry of Economy and Finance) Teche for the European Project “La Città Educante” (The Educating City: teaching and learning processes in cross-media ecosystem) Our system contributes to The Educating City project by providing the technological environment to create statistical models for automatic named entity recognition (NER), and has been implemented in the field of education, in Italian initially. The system has been applied to the learning challenges facing the world of educational media and has demonstrated how beneficial combining topical news content with scientific content can be in education. 
653 |a Environment models 
653 |a Learning 
653 |a Video 
653 |a Statistical models 
653 |a Education 
653 |a Recognition 
653 |a Knowledge representation 
700 1 |a Di Stabile, Rosario  |u RAI S.p.A, Rome, Italy (GRID:grid.425772.1) (ISNI:0000 0001 0946 5291) 
700 1 |a Purificato, Erasmo  |u Otto von Guericke University Magdeburg, Magdeburg, Germany (GRID:grid.5807.a) (ISNI:0000 0001 1018 4307); Georg Eckert Institute, Braunschweig, Germany (GRID:grid.461689.4) (ISNI:0000 0004 0562 8251) 
700 1 |a Giuliano, Romeo  |u Guglielmo Marconi University, Rome, Italy (GRID:grid.440899.8) (ISNI:0000 0004 1780 761X) 
700 1 |a De Luca, Ernesto William  |u Guglielmo Marconi University, Rome, Italy (GRID:grid.440899.8) (ISNI:0000 0004 1780 761X); RAI S.p.A, Rome, Italy (GRID:grid.425772.1) (ISNI:0000 0001 0946 5291); Georg Eckert Institute, Braunschweig, Germany (GRID:grid.461689.4) (ISNI:0000 0004 0562 8251) 
773 0 |t Multimedia Tools and Applications  |g vol. 81, no. 16 (Jul 2022), p. 23105 
786 0 |d ProQuest  |t ABI/INFORM Global 
856 4 1 |3 Citation/Abstract  |u https://www.proquest.com/docview/2679455318/abstract/embedded/7BTGNMKEMPT1V9Z2?source=fedsrch 
856 4 0 |3 Full Text - PDF  |u https://www.proquest.com/docview/2679455318/fulltextPDF/embedded/7BTGNMKEMPT1V9Z2?source=fedsrch