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ICCV
2007
IEEE
14 years 2 months ago
Interactive Feedback for Video Tracking Using a Hybrid Maximum Likelihood Similarity Measure
In this article, we present an object tracking system which allows interactive user feedback to improve the accuracy of the tracking process in real-time video. In addition, we des...
Ard Oerlemans, Bart Thomee
MM
2009
ACM
147views Multimedia» more  MM 2009»
14 years 2 months ago
Distribution-based concept selection for concept-based video retrieval
Query-to-concept mapping plays one of the keys to concept-based video retrieval. Conventional approaches try to find concepts that are likely to co-occur in the relevant shots fro...
Juan Cao, HongFang Jing, Chong-Wah Ngo, Yongdong Z...
ECIR
2008
Springer
13 years 9 months ago
Use of Implicit Graph for Recommending Relevant Videos: A Simulated Evaluation
In this paper, we propose a model for exploiting community based usage information for video retrieval. Implicit usage information from a pool of past users could be a valuable sou...
David Vallet, Frank Hopfgartner, Joemon M. Jose
SIGIR
2006
ACM
14 years 2 months ago
Learning user interaction models for predicting web search result preferences
Evaluating user preferences of web search results is crucial for search engine development, deployment, and maintenance. We present a real-world study of modeling the behavior of ...
Eugene Agichtein, Eric Brill, Susan T. Dumais, Rob...
RECSYS
2009
ACM
14 years 2 months ago
FeedbackTrust: using feedback effects in trust-based recommendation systems
With the advent of online social networks, the trust-based approach to recommendation has emerged which exploits the trust network among users and makes recommendations based on t...
Samaneh Moghaddam, Mohsen Jamali, Martin Ester, Ja...