Please use this identifier to cite or link to this item: https://doi.org/10.1145/1282280.1282378
Title: Active learning approach to interactive spatio-temporal news video retrieval
Authors: Luan, H.-B.
Neo, S.-Y. 
Chua, T.-S. 
Zheng, Y.-T.
Tang, S.
Zhang, Y.-D.
Li, J.-T.
Keywords: Active learning
Interactive retrieval
Issue Date: 2007
Citation: Luan, H.-B.,Neo, S.-Y.,Chua, T.-S.,Zheng, Y.-T.,Tang, S.,Zhang, Y.-D.,Li, J.-T. (2007). Active learning approach to interactive spatio-temporal news video retrieval. Proceedings of the 6th ACM International Conference on Image and Video Retrieval, CIVR 2007 : 651-. ScholarBank@NUS Repository. https://doi.org/10.1145/1282280.1282378
Abstract: Interactive news video retrieval requires the effective communication between the human searchers and the search engine to locate relevant video segments. We propose a spatiotemporal visual map (STVM) retrieval [1] system coupled with active learning to support user-centered interactive retrieval. Copyright 2007 ACM.
Source Title: Proceedings of the 6th ACM International Conference on Image and Video Retrieval, CIVR 2007
URI: http://scholarbank.nus.edu.sg/handle/10635/41890
ISBN: 1595937331
DOI: 10.1145/1282280.1282378
Appears in Collections:Staff Publications

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