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» A Novel Method for Video Retrieval Using Relevant Feedback
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CIKM
2009
Springer
14 years 1 months ago
A query model based on normalized log-likelihood
Leveraging information from relevance assessments has been proposed as an effective means for improving retrieval. We introduce a novel language modeling method which uses inform...
Edgar Meij, Wouter Weerkamp, Maarten de Rijke
JCO
2010
75views more  JCO 2010»
13 years 5 months ago
A quadratic lower bound for Rocchio's similarity-based relevance feedback algorithm with a fixed query updating factor
Rocchio’s similarity-based relevance feedback algorithm, one of the most important query reformation methods in information retrieval, is essentially an adaptive supervised lear...
Zhixiang Chen, Bin Fu, John Abraham
IRI
2007
IEEE
14 years 1 months ago
Automated Multimedia Systems Training Using Association Rule Mining
User feedback is widely deployed in recent multimedia research to refine retrieval performance. However, most of the existing online learning algorithms handle interactions of a s...
Na Zhao, Shu-Ching Chen, Stuart Harvey Rubin
COCOON
2005
Springer
14 years 26 days ago
A Quadratic Lower Bound for Rocchio's Similarity-Based Relevance Feedback Algorithm
Rocchio’s similarity-based relevance feedback algorithm, one of the most important query reformation methods in information retrieval, is essentially an adaptive supervised lear...
Zhixiang Chen, Bin Fu
MIR
2005
ACM
198views Multimedia» more  MIR 2005»
14 years 27 days ago
Semi-automatic video annotation based on active learning with multiple complementary predictors
In this paper, we will propose a novel semi-automatic annotation scheme for video semantic classification. It is well known that the large gap between high-level semantics and low...
Yan Song, Xian-Sheng Hua, Li-Rong Dai, Meng Wang