Querying Multiple Simultaneous Video Streams with 3D Interest Maps
| Autor: | Axel Carlier, Lilian Calvet, Pierre Gurdjos, Vincent Charvillat, Wei Tsang Ooi |
|---|---|
| Přispěvatelé: | Real Expression Artificial Life (IRIT-REVA), Institut de recherche en informatique de Toulouse (IRIT), Université Toulouse 1 Capitole (UT1), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Université Toulouse - Jean Jaurès (UT2J)-Université Toulouse III - Paul Sabatier (UT3), Université Fédérale Toulouse Midi-Pyrénées-Centre National de la Recherche Scientifique (CNRS)-Institut National Polytechnique (Toulouse) (Toulouse INP), Université Fédérale Toulouse Midi-Pyrénées-Université Toulouse 1 Capitole (UT1), Université Fédérale Toulouse Midi-Pyrénées, Institut National Polytechnique (Toulouse) (Toulouse INP), Simula Research Laboratory [Lysaker] (SRL), Centre National de la Recherche Scientifique (CNRS), School of computing [Singapore] (NUS), National University of Singapore (NUS), Benois-Pineau, Jenny, Le Callet, Patrick |
| Rok vydání: | 2017 |
| Předmět: |
Video recording
Information retrieval Computer science ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION 020207 software engineering 02 engineering and technology Viewpoints Viewing angle 3d space 0202 electrical engineering electronic engineering information engineering Entropy (information theory) [INFO]Computer Science [cs] 020201 artificial intelligence & image processing Mobile device |
| Zdroj: | Visual Content Indexing and Retrieval with Psycho-Visual Models ISBN: 9783319576862 Visual Content Indexing and Retrieval with Psycho-Visual Models Benois-Pineau, Jenny; Le Callet, Patrick. Visual Content Indexing and Retrieval with Psycho-Visual Models, Springer, pp.125--144, 2017, Multimedia Systems and Applications book series (MMSA), 978-3-319-57686-2. ⟨10.1007/978-3-319-57687-9_6⟩ |
| DOI: | 10.1007/978-3-319-57687-9_6 |
| Popis: | International audience; With proliferation of mobile devices equipped with cameras and video recording applications, it is now common to observe multiple mobile cameras filming the same scene at an event from a diverse set of view angles. These recorded videos provide a rich set of data for someone to re-experience the event at a later time. Not all the videos recorded, however, show a desirable view. Navigating through a large collection of videos to find a video with a better viewing angle can be time consuming. We propose a query-response interface in which users can intuitively switch to another video with an alternate, better, view, by selecting a 2D region within a video as a query. The system would then response with another video that has a better view of the selected region, maximizing the viewpoint entropy. The key to our system is a lightweight 3D scene structure, also termed 3D interest map. A 3D interest map is naturally an extension of saliency maps in the 3D space since most users film what they find interesting from their respective viewpoints. A user study with more than 35 users shows that our video query system achieves a suitable compromise between accuracy and run-time. |
| Databáze: | OpenAIRE |
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