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
Source: 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

Show full item record
Files in This Item:
There are no files associated with this item.

SCOPUSTM   
Citations

1
checked on Dec 11, 2017

Page view(s)

54
checked on Dec 9, 2017

Google ScholarTM

Check

Altmetric


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.