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Overview of the CLEF 2009 Medical Image Retrieval Track [chapter]

Henning Müller, Jayashree Kalpathy–Cramer, Ivan Eggel, Steven Bedrick, Saïd Radhouani, Brian Bakke, Charles E. Kahn, William Hersh
2010 Lecture Notes in Computer Science  
2009 was the sixth year for the ImageCLEF medical retrieval task.  ...  Medical image retrieval, image retrieval, multimodal retrieval 1 2  ...  Acknowledgements We would like to thank the CLEF campaign for supporting the ImageCLEF initiative.  ... 
doi:10.1007/978-3-642-15751-6_8 fatcat:abrmk3557nbbdhams4trskydl4

A New Combination Method Based on Adaptive Genetic Algorithm for Medical Image Retrieval [chapter]

Karim Gasmi, Mouna Torjmen-Khemakhem, Lynda Tamine, Maher Ben Jemaa
2014 Lecture Notes in Computer Science  
Experiments are carried out on Medical Information Retrieval Task of the ImageCLEF 2009 and 2010. The results confirm that the combination of both textual and conceptual scores allows best accuracy.  ...  This is an author-deposited version published in : Eprints ID : 16830 The contribution was presented at AIRS 2014 :  ...  Comparison of Our Method with Official Submissions of Medical IMAGE CLEF 2009 and 2010 In this section, we compare our method with runs submitted for medical Im-ageCLEF 2009 and 2010.  ... 
doi:10.1007/978-3-319-12844-3_25 fatcat:6ke4rexrx5b4bmpw62jf2vchw4

IMS: An improved medical retrieval model via medical-context aware query expansion and comprehensive ranking

Nurfadhlina Mohd Sharef, Hizmawati Madzin
2012 2012 International Conference on Information Retrieval & Knowledge Management  
The source of medical records are obtained from the ImageCLEF 2010 dataset which also houses a series of evaluation campaign such as photo annotation, robot vision and Wikipedia retrieval.  ...  According to MAP score we are in the top five run system amongst submitted run systems in ImageCLEF2010 medical task.  ...  In this paper, we used 16 ad-hoc queries with relevance judgments containing relevant documents for each query from the medical documents in ImageCLEF 2010 (H. Müller 2010).  ... 
doi:10.1109/infrkm.2012.6205004 dblp:conf/infrkm/SharefM12 fatcat:5fa2pl5s55hi3bjma7ifu4viza

Video genre categorization and representation using audio-visual information

Bogdan Ionescu
2012 Journal of Electronic Imaging (JEI)  
At the temporal structure level, we consider action content in relation to human perception.  ...  Audio information is extracted at blocklevel, which has the advantage of capturing local temporal information.  ...  We also acknowledge the 2011 Genre Tagging Task of the MediaEval Multimedia Benchmark [2] for providing the test data set.  ... 
doi:10.1117/1.jei.21.2.023017 fatcat:ftmpjzlx5rdndbcmwiqx7jktga