Circulant temporal encoding for video retrieval and temporal alignment

Matthijs Douze 1, 2 Jérôme Revaud 2 Jakob Verbeek 2 Hervé Jégou 3 Cordelia Schmid 2
1 SED [Grenoble]
2 Thoth - Apprentissage de modèles à partir de données massives
Inria Grenoble - Rhône-Alpes, LJK - Laboratoire Jean Kuntzmann
3 SED [Rennes] - Service Expérimentation et Développement
Abstract : We address the problem of specific video event retrieval. Given a query video of a specific event, e.g., a concert of Madonna, the goal is to retrieve other videos of the same event that temporally overlap with the query. Our approach encodes the frame descriptors of a video to jointly represent their appearance and temporal order. It exploits the properties of circulant matrices to efficiently compare the videos in the frequency domain. This offers a significant gain in complexity and accurately localizes the matching parts of videos. The descriptors can be compressed in the frequency domain with a product quantizer adapted to complex numbers. In this case, video retrieval is performed without decompressing the descriptors. We also consider the temporal alignment of a set of videos. We exploit the matching confidence and an estimate of the temporal offset computed for all pairs of videos by our retrieval approach. Our robust algorithm aligns the videos on a global timeline by maximizing the set of temporally consistent matches. The global temporal alignment enables synchronous playback of the videos of a given scene.
Document type :
Journal articles
Liste complète des métadonnées

Cited literature [43 references]  Display  Hide  Download
https://hal.inria.fr/hal-01162603
Contributor : Thoth Team <>
Submitted on : Monday, November 30, 2015 - 6:12:16 PM
Last modification on : Saturday, February 23, 2019 - 1:13:51 AM
Document(s) archivé(s) le : Saturday, April 29, 2017 - 3:07:26 AM

File

paper.pdf
Files produced by the author(s)

Identifiers

Collections

UNIV-RENNES1 | INRIA | IRISA | LJK | UGA | LJK_GI | LJK-GI-THOTH | UR1-UFR-ISTIC | UNIV-RENNES | INSA-GROUPE

Citation

Matthijs Douze, Jérôme Revaud, Jakob Verbeek, Hervé Jégou, Cordelia Schmid. Circulant temporal encoding for video retrieval and temporal alignment. International Journal of Computer Vision, Springer Verlag, 2016, 119 (3), pp.291-306. ⟨10.1007/s11263-015-0875-0⟩. ⟨hal-01162603v2⟩

Export

BibTeX TEI DC DCterms EndNote

Share

Metrics

Record views

1327

Files downloads

706

Contact


archive-ouverte@inria.fr