Event Oriented Dictionary Learning for Complex Event Detection
- 16 March 2015
- journal article
- Published by Institute of Electrical and Electronics Engineers (IEEE) in IEEE Transactions on Image Processing
- Vol. 24 (6), 1867-1878
- https://doi.org/10.1109/tip.2015.2413294
Abstract
Complex event detection is a retrieval task with the goal of finding videos of a particular event in a large-scale unconstrained Internet video archive, given example videos and text descriptions. Nowadays, different multimodal fusion schemes of low-level and high-level features are extensively investigated and evaluated for the complex event detection task. However, how to effectively select the high-level semantic meaningful concepts from a large pool to assist complex event detection is rarely studied in the literature. In this paper, we propose a novel strategy to automatically select semantic meaningful concepts for the event detection task based on both the events-kit text descriptions and the concepts high-level feature descriptions. Moreover, we introduce a novel event oriented dictionary representation based on the selected semantic concepts. Toward this goal, we leverage training images (frames) of selected concepts from the semantic indexing dataset with a pool of 346 concepts, into a novel supervised multitask ℓ p -norm dictionary learning framework. Extensive experimental results on TRECVID multimedia event detection dataset demonstrate the efficacy of our proposed method.Keywords
Funding Information
- Ministero dell’Istruzione, dell’Universita e della Ricerca Cluster Project Active Ageing at Home
- European Commission Project xLiMe
- Australian Research Council Discovery Projects
- U.S. Army Research Office (W911NF-13-1-0277)
- National Science Foundation (IIS-1251187)
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