QDFA: Query-Dependent Feature Aggregation for Medical Image Retrieval

Yonggang HUANG  Dianfu MA  Jun ZHANG  Yongwang ZHAO  

Publication
IEICE TRANSACTIONS on Information and Systems   Vol.E95-D    No.1    pp.275-279
Publication Date: 2012/01/01
Online ISSN: 1745-1361
DOI: 10.1587/transinf.E95.D.275
Print ISSN: 0916-8532
Type of Manuscript: LETTER
Category: Image Processing and Video Processing
Keyword: 
CBIR,  feature aggregation,  query-dependent,  fuzzy SVM,  

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Summary: 
We propose a novel query-dependent feature aggregation (QDFA) method for medical image retrieval. The QDFA method can learn an optimal feature aggregation function for a multi-example query, which takes into account multiple features and multiple examples with different importance. The experiments demonstrate that the QDFA method outperforms three other feature aggregation methods.