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MIR
2005
ACM
129views Multimedia» more  MIR 2005»
16 years 1 months ago
Multi-graph enabled active learning for multimodal web image retrieval
In this paper, we propose a multimodal Web image retrieval technique based on multi-graph enabled active learning. The main goal is to leverage the heterogeneous data on the Web t...
Xin-Jing Wang, Wei-Ying Ma, Lei Zhang, Xing Li
MIR
2005
ACM
197views Multimedia» more  MIR 2005»
16 years 1 months ago
Enhanced ontologies for video annotation and retrieval
A typical way to perform video annotation requires to classify video elements (e.g. events and objects) according to some pre-defined ontology of the video content domain. Ontolo...
Marco Bertini, Alberto Del Bimbo, Carlo Torniai
MIR
2005
ACM
137views Multimedia» more  MIR 2005»
16 years 1 months ago
A content-based image retrieval system for fish taxonomy
It is estimated that less than ten percent of the world’s species have been discovered and described. The main reason for the slow pace of new species description is that the sc...
Yixin Chen, Henry L. Bart Jr., Fei Teng
MIR
2005
ACM
140views Multimedia» more  MIR 2005»
16 years 1 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
2005
ACM
141views Multimedia» more  MIR 2005»
16 years 1 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
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