From Video Matching to Video Grounding

Georgios Evangelidis 1 Ferran Diego 2 Radu Horaud 1
1 PERCEPTION - Interpretation and Modelling of Images and Videos
Inria Grenoble - Rhône-Alpes, LJK - Laboratoire Jean Kuntzmann, INPG - Institut National Polytechnique de Grenoble
Abstract : This paper addresses the background estimation problem for videos captured by moving cameras, referred to as video grounding. It essentially aims at reconstructing a video, as if it would be without foreground objects, e.g. cars or people. What differentiates video grounding from known background estimation methods is that the camera follows unconstrained motion so that background undergoes ongoing changes. We build on video matching aspects since more videos contribute to the reconstruction. Without loss of generality, we investigate a challenging case where videos are recorded by in-vehicle cameras that follow the same road. Other than video synchronization and spatiotemporal alignment, we focus on the background reconstruction by exploiting inter- and intra-sequence similarities. In this context, we propose a Markov random field formulation that integrates the temporal coherence of videos while it exploits the decisions of a support vector machine classifier about the backgroundness of regions in video frames. Experiments with real sequences recorded by moving vehicles verify the potential of the video grounding algorithm against state-of-art baselines.
Type de document :
Communication dans un congrès
International Conference on Computer Vision, Workshop on Computer Vision in Vehicle Technology, Dec 2013, Sidney, Australia. IEEE, pp.608-615, 2013, 〈10.1109/ICCVW.2013.84〉
Liste complète des métadonnées

Littérature citée [22 références]  Voir  Masquer  Télécharger


https://hal.inria.fr/hal-00872517
Contributeur : Team Perception <>
Soumis le : dimanche 13 octobre 2013 - 20:27:50
Dernière modification le : mercredi 11 avril 2018 - 01:59:00
Document(s) archivé(s) le : vendredi 7 avril 2017 - 10:12:38

Fichiers

ICCVW-CVVT-2013.pdf
Fichiers produits par l'(les) auteur(s)

Identifiants

Collections

Citation

Georgios Evangelidis, Ferran Diego, Radu Horaud. From Video Matching to Video Grounding. International Conference on Computer Vision, Workshop on Computer Vision in Vehicle Technology, Dec 2013, Sidney, Australia. IEEE, pp.608-615, 2013, 〈10.1109/ICCVW.2013.84〉. 〈hal-00872517〉

Partager

Métriques

Consultations de la notice

1987

Téléchargements de fichiers

404