Skip to Main content Skip to Navigation
Conference papers

Stable hyper-pooling and query expansion for event detection

Matthijs Douze 1, 2 Jérôme Revaud 1 Cordelia Schmid 1 Hervé Jégou 3
1 LEAR - Learning and recognition in vision
Inria Grenoble - Rhône-Alpes, LJK - Laboratoire Jean Kuntzmann, Grenoble INP - Institut polytechnique de Grenoble - Grenoble Institute of Technology
3 TEXMEX - Multimedia content-based indexing
IRISA - Institut de Recherche en Informatique et Systèmes Aléatoires, Inria Rennes – Bretagne Atlantique
Abstract : This paper makes two complementary contributions to event retrieval in large collections of videos. First, we propose hyper-pooling strategies that encode the frame descriptors into a representation of the video sequence in a stable manner. Our best choices compare favorably with regular pooling techniques based on k-means quantization. Second, we introduce a technique to improve the ranking. It can be interpreted either as a query expansion method or as a similarity adaptation based on the local context of the query video descriptor. Experiments on public benchmarks show that our methods are complementary and improve event retrieval results, without sacrificing efficiency.
Document type :
Conference papers
Complete list of metadata

Cited literature [18 references]  Display  Hide  Download
Contributor : Hervé Jégou Connect in order to contact the contributor
Submitted on : Monday, October 14, 2013 - 1:22:44 PM
Last modification on : Thursday, January 20, 2022 - 5:30:36 PM
Long-term archiving on: : Wednesday, January 15, 2014 - 6:10:13 AM


Files produced by the author(s)



Matthijs Douze, Jérôme Revaud, Cordelia Schmid, Hervé Jégou. Stable hyper-pooling and query expansion for event detection. ICCV 2013 - IEEE International Conference on Computer Vision, Dec 2013, Sydney, Australia. pp.1825-1832, ⟨10.1109/ICCV.2013.229⟩. ⟨hal-00872751⟩



Les métriques sont temporairement indisponibles