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Querying Multiple Simultaneous Video Streams with 3D Interest Maps

Authors :
Axel Carlier
Lilian Calvet
Pierre Gurdjos
Vincent Charvillat
Wei Tsang Ooi
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
Source :
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⟩
Publication Year :
2017
Publisher :
Springer International Publishing, 2017.

Abstract

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.

Details

ISBN :
978-3-319-57686-2
ISBNs :
9783319576862
Database :
OpenAIRE
Journal :
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⟩
Accession number :
edsair.doi.dedup.....c54158bea4243afd9c7eaa4438f10c05