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» Information Fusion in Multimedia Information Retrieval
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MIR
2005
ACM
140views Multimedia» more  MIR 2005»
14 years 2 months ago
Multiple random walk and its application in content-based image retrieval
In this paper, we propose a transductive learning method for content-based image retrieval: Multiple Random Walk (MRW). Its basic idea is to construct two generative models by mea...
Jingrui He, Hanghang Tong, Mingjing Li, Wei-Ying M...
MIR
2004
ACM
171views Multimedia» more  MIR 2004»
14 years 2 months ago
Mean version space: a new active learning method for content-based image retrieval
In content-based image retrieval, relevance feedback has been introduced to narrow the gap between low-level image feature and high-level semantic concept. Furthermore, to speed u...
Jingrui He, Hanghang Tong, Mingjing Li, HongJiang ...
MIR
2005
ACM
141views Multimedia» more  MIR 2005»
14 years 2 months ago
A mutual semantic endorsement approach to image retrieval and context provision
Learning semantics from annotated images to enhance content-based retrieval is an important research direction. In this paper, annotation data are assumed available for only a sub...
Jia Li
ICMCS
2007
IEEE
97views Multimedia» more  ICMCS 2007»
14 years 3 months ago
Predictive Early Object Shedding in Media Processing Workflows
Media-rich ubiquitous distributed media processing workflow systems continuously sense users’ needs, status, and the context, filter and fuse a multitude of real-time media da...
Lina Peng, K. Selçuk Candan
ICMCS
2006
IEEE
117views Multimedia» more  ICMCS 2006»
14 years 3 months ago
Soccer Highlight Detection using Two-Dependence Bayesian Network
Soccer highlight detection is an active research topic in recent years. One of the difficult problems is how to effectively fuse multi-modality cues, i.e. audio, visual and textu...
Jianguo Li, Tao Wang, Wei Hu, Mingliang Sun, Yimin...