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CIVR
2008
Springer

Adaptive multiple feedback strategies for interactive video search

9 years 1 days ago
Adaptive multiple feedback strategies for interactive video search
In this paper, we propose adaptive multiple feedback strategies for interactive video retrieval. We first segregate interactive feedback into 3 distinct types (recall-driven relevance feedback, precision-driven active learning and locality-driven relevance feedback) so that a generic interaction mechanism with more flexibility can be performed to cover different search queries and different video corpuses. Our system facilitates expert searchers to flexibly decide on the types of feedback they want to employ under different situations. To cater to the large number of novice users (non-expert users), an adaptive option is built-in to learn the expert user behavior so as to provide recommendations on the next feedback strategy, leading to a more precise and personalized search for the novice users. Experimental results on TRECVID news video corpus demonstrate that our proposed adaptive multiple feedback strategies are effective. Categories and Subject Descriptors H.3.3 [Information Stor...
Huan-Bo Luan, Yantao Zheng, Shi-Yong Neo, Yongdong
Added 18 Oct 2010
Updated 18 Oct 2010
Type Conference
Year 2008
Where CIVR
Authors Huan-Bo Luan, Yantao Zheng, Shi-Yong Neo, Yongdong Zhang, Shouxun Lin, Tat-Seng Chua
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