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143
Voted
MIR
2005
ACM
129views Multimedia» more  MIR 2005»
15 years 9 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
140
Voted
MMDB
2004
ACM
148views Multimedia» more  MMDB 2004»
15 years 9 months ago
A unified framework for image database clustering and content-based retrieval
With the proliferation of image data, the need to search and retrieve images efficiently and accurately from a large image database or a collection of image databases has drastica...
Mei-Ling Shyu, Shu-Ching Chen, Min Chen, Chengcui ...
121
Voted
MIR
2003
ACM
174views Multimedia» more  MIR 2003»
15 years 9 months ago
Content-based image retrieval by clustering
In a typical content-based image retrieval (CBIR) system, query results are a set of images sorted by feature similarities with respect to the query. However, images with high fea...
Yixin Chen, James Ze Wang, Robert Krovetz
134
Voted
AMR
2006
Springer
108views Multimedia» more  AMR 2006»
15 years 7 months ago
Variation of Relevance Assessments for Medical Image Retrieval
Abstract. Evaluation is crucial for the success of most research domains, and image retrieval is no exception to this. Recently, several benchmarks have been developed for visual i...
Henning Müller, Paul Clough, William R. Hersh...
134
Voted
MIR
2004
ACM
143views Multimedia» more  MIR 2004»
15 years 9 months ago
A graphical user interface for a fine-art painting image retrieval system
For describing and analyzing digital images of paintings we propose a model to serve as the basis for an interactive image retrieval system. The model defines two types of feature...
Thomas E. Lombardi, Sung-Hyuk Cha, Charles C. Tapp...