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» Learning-Based Interactive Video Retrieval System
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CIVR
2010
Springer
254views Image Analysis» more  CIVR 2010»
14 years 21 days ago
Video scene analysis of interactions between humans and vehicles using event context
In this paper, we present a methodology to estimate a detailed state of a video scene involving multiple humans and vehicles. In order to annotate and retrieve videos containing a...
M. S. Ryoo, Jong Taek Lee, Jake K. Aggarwal
MM
2003
ACM
160views Multimedia» more  MM 2003»
14 years 1 months ago
VideoQA: question answering on news video
When querying a news video archive, the users are interested in retrieving precise answers in the form of a summary that best answers the query. However, current video retrieval s...
Hui Yang, Lekha Chaisorn, Yunlong Zhao, Shi-Yong N...
CIVR
2008
Springer
173views Image Analysis» more  CIVR 2008»
13 years 9 months 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 relev...
Huan-Bo Luan, Yantao Zheng, Shi-Yong Neo, Yongdong...
TCSV
2008
113views more  TCSV 2008»
13 years 7 months ago
A Robust Passage Retrieval Algorithm for Video Question Answering
In this paper, we present a robust passage retrieval algorithm to extend the conventional text question answering (Q/A) to videos. Users interact with our videoQ/A system through n...
Yu-Chieh Wu, Jie-Chi Yang
JCDL
2010
ACM
156views Education» more  JCDL 2010»
13 years 8 months ago
Interactively browsing movies in terms of action, foreshadowing and resolution
We describe a novel video player that uses Temporal Semantic Compression (TSC) to present a compressed summary of a movie. Compression is based on tempo which is derived from film...
Stewart Greenhill, Brett Adams, Svetha Venkatesh