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Efficient Search and Localization of Human Actions in Video Databases.
- Source :
-
IEEE Transactions on Circuits & Systems for Video Technology . Mar2014, Vol. 24 Issue 3, p504-512. 9p. - Publication Year :
- 2014
-
Abstract
- As digital video databases grow, so grows the problem of effectively navigating through them. In this paper we propose a novel content-based video retrieval approach to searching such video databases, specifically those involving human actions, incorporating spatio-temporal localization. We outline a novel, highly efficient localization model that first performs temporal localization based on histograms of evenly spaced time-slices, then spatial localization based on histograms of a 2-D spatial grid. We further argue that our retrieval model, based on the aforementioned localization, followed by relevance ranking, results in a highly discriminative system, while remaining an order of magnitude faster than the current state-of-the-art method. We also show how relevance feedback can be applied to our localization and ranking algorithms. As a result, the presented system is more directly applicable to real-world problems than any prior content-based video retrieval system. [ABSTRACT FROM PUBLISHER]
Details
- Language :
- English
- ISSN :
- 10518215
- Volume :
- 24
- Issue :
- 3
- Database :
- Academic Search Index
- Journal :
- IEEE Transactions on Circuits & Systems for Video Technology
- Publication Type :
- Academic Journal
- Accession number :
- 94842599
- Full Text :
- https://doi.org/10.1109/TCSVT.2013.2276700