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Overview of the ImageCLEF 2006 Photographic Retrieval and Object Annotation Tasks [chapter]

Paul Clough, Michael Grubinger, Thomas Deselaers, Allan Hanbury, Henning Müller
2007 Lecture Notes in Computer Science  
This paper describes the photographic retrieval and object annotation tasks of ImageCLEF 2006.  ...  The automatic object annotation task used a hand-collected dataset of 81'211 images from 268 classes provided by LTUtech.  ...  Acknowledgements We thank the CLEF campaign for supporting ImageCLEF.  ... 
doi:10.1007/978-3-540-74999-8_71 fatcat:nwavr7byzbbflp3b7wvxd4lem4

Overview of the ImageCLEF 2007 Object Retrieval Task [chapter]

Thomas Deselaers, Allan Hanbury, Ville Viitaniemi, András Benczúr, Mátyás Brendel, Bálint Daróczy, Hugo Jair Escalante Balderas, Theo Gevers, Carlos Arturo Hernández Gracidas, Steven C. H. Hoi, Jorma Laaksonen, Mingjing Li (+6 others)
Lecture Notes in Computer Science  
We describe the object retrieval task of ImageCLEF 2007, give an overview of the methods of the participating groups, and present and discuss the results.  ...  The task was based on the widely used PASCAL object recognition data to train object recognition methods and on the IAPR TC-12 benchmark dataset from which images of objects of the ten different classes  ...  We would like to thank the PASCAL NoE for allowing us to use the training data of the PASCAL 2006 Visual object classes challenge as training data for this task, in particular, we would like to thank Mark  ... 
doi:10.1007/978-3-540-85760-0_58 fatcat:zb7ac37fvvhzraekdwioqh3ele

An Overview of Evaluation Campaigns in Multimedia Retrieval [chapter]

Suzanne Little, Ainhoa Llorente, Stefan Rüger
2010 ImageCLEF  
for starting ImageCLEF and then a summary of the tracks run over the seven years (data, tasks and participants).  ...  for evaluating visual information retrieval systems and is the focus of this book.  ...  In particular we thank the European Union for support through the funding of various EU projects that have supported task organisers.  ... 
doi:10.1007/978-3-642-15181-1_27 fatcat:nnglqvlfw5a6fceju5vrwyswim

Automatic medical image annotation in ImageCLEF 2007: Overview, results, and discussion

Thomas Deselaers, Thomas M. Deserno, Henning Müller
2008 Pattern Recognition Letters  
In this paper, the automatic medical annotation task of the 2007 CLEF cross-language image retrieval campaign (ImageCLEF) is described.  ...  The paper also describes the evolution of the task from its origin in 2005 to 2007.  ...  used sparse textual data , and the object detection task was replaced by an object retrieval task .  ... 
doi:10.1016/j.patrec.2008.03.001 fatcat:zr6dsbf2rnf3bp32phfe7wwreu

Seven Years of Image Retrieval Evaluation [chapter]

Paul Clough, Henning Müller, Mark Sanderson
2010 ImageCLEF  
for starting ImageCLEF and then a summary of the tracks run over the seven years (data, tasks and participants).  ...  for evaluating visual information retrieval systems and is the focus of this book.  ...  In particular we thank the European Union for support through the funding of various EU projects that have supported task organisers.  ... 
doi:10.1007/978-3-642-15181-1_1 fatcat:yuvmyscbufg5lclr36z4pughm4

Object and Concept Recognition for Image Retrieval [chapter]

Stefanie Nowak, Allan Hanbury, Thomas Deselaers
2010 ImageCLEF  
The visual object and concept detection task evolved over the years to become an inherent part of the yearly ImageCLEF evaluation cycle with growing interest and participation from the research community  ...  In this chapter, the development, goals and achievements of four cycles of object and concept recognition for image retrieval are presented.  ...  Acknowledgements We would like to thank the organizers of CLEF and ImageCLEF for the support of the object and concept recognition tasks.  ... 
doi:10.1007/978-3-642-15181-1_11 fatcat:o762fbqycrg2lcvuimen2h2yoq

The Scholarly Impact of CLEF (2000–2009) [chapter]

Theodora Tsikrika, Birger Larsen, Henning Müller, Stefan Endrullis, Erhard Rahm
2013 Lecture Notes in Computer Science  
Our analysis indicates a significant impact of CLEF, particularly for its well-established Adhoc, ImageCLEF, and QA labs, and for the lab/task overview publications that attract considerable interest.  ...  Moreover, initial analysis indicates that the scholarly impact of ImageCLEF is comparable to that of TRECVid. 1 Text REtrieval Conference (http://trec.nist.gov/) 2 Cross-Language Evaluation Forum (http  ...  This work was partially supported by the ELIAS ESF Research Networking Programme, and by the Promise (258191) and Khresmoi (257528) FP7 projects.  ... 
doi:10.1007/978-3-642-40802-1_1 fatcat:533ffulnnbcedphg33kgobcney

The Visual Concept Detection Task in ImageCLEF 2008 [chapter]

Thomas Deselaers, Allan Hanbury
2009 Lecture Notes in Computer Science  
The Visual Concept Detection Task (VCDT) of ImageCLEF 2008 is described. A database of 2,827 images were manually annotated with 17 concepts.  ...  The runs were evaluated using ROC curves, from which the Area Under the Curve (AUC) and Equal Error Rate (EER) were calculated. For each concept, the best runs obtained an AUC of 80% or above.  ...  As for the object detection task in 2007 [1] , a web interface was created for manual annotation of the images by the concepts.  ... 
doi:10.1007/978-3-642-04447-2_65 fatcat:6x4tzrfb2vb3vcrdbdawok4yv4

Adopting Semantic Information of Grayscale Radiographs for Image Classification and Retrieval

Obioma Pelka, Felix Nensa, Christoph M. Friedrich
2018 Proceedings of the 11th International Joint Conference on Biomedical Engineering Systems and Technologies  
The aim of this presented work is to utilize Transfer Learning to generate image keywords, which are substituted as text representation for medical image classification and retrieval tasks.  ...  For the image classification tasks, Random Forest models trained with Bag-of-Keypoints visual representations were adopted.  ...  The objective of the concept detection task was to retrieve clinical concepts present in the medical images whereas for the caption prediction task, meaningful captions to the images had to be predicted  ... 
doi:10.5220/0006732301790187 dblp:conf/biostec/PelkaNF18 fatcat:aoadhd2inbc6tkx5ahua4uuuz4

Evaluating performance of biomedical image retrieval systems—An overview of the medical image retrieval task at ImageCLEF 2004–2013

Jayashree Kalpathy-Cramer, Alba García Seco de Herrera, Dina Demner-Fushman, Sameer Antani, Steven Bedrick, Henning Müller
2015 Computerized Medical Imaging and Graphics  
important(for(the(evaluation(to(be(close(to(real(world(in( its( size( and( scope.( The( ImageCLEF 1 (medical( retrieval( tasks( have( provided( such( an(  ...  (The(goals(of(CLEF(are(to(build(realistic( test( collections( that( simulate( real( world( retrieval( tasks,( enable( researchers( to( assess( the( performance( of( their( systems,( and( compare( their  ...  (techniques.( ( Figure*3*Total*runs*submitted*for*the*medical*task* ( Overview*of*participant*methods( Textual!  ... 
doi:10.1016/j.compmedimag.2014.03.004 pmid:24746250 pmcid:PMC4177510 fatcat:xuck5guwojexviqczz4keargjm

The Wikipedia Image Retrieval Task [chapter]

Theodora Tsikrika, Jana Kludas
2010 ImageCLEF  
This chapter presents an overview of the available test collections, summarises the retrieval approaches employed by the groups that participated in the task during the 2008 and 2009 ImageCLEF campaigns  ...  The Wikipedia image retrieval task at ImageCLEF provides a test-bed for the system-oriented evaluation of visual information retrieval from a collection of Wikipedia images.  ...  The authors would also like to thank Thijs Westerveld and Roelof van Zwol for creating the (INEX MM) Wikipedia image collection and setting up the task in the context of the activities of the INEX Multimedia  ... 
doi:10.1007/978-3-642-15181-1_9 fatcat:gn2lisoma5fhhhfaxqyxc55l6e

Image Retrieval and Annotation Using Maximum Entropy [chapter]

Thomas Deselaers, Tobias Weyand, Hermann Ney
2007 Lecture Notes in Computer Science  
We present and discuss our participation in the four tasks of the ImageCLEF 2006 Evaluation.  ...  Retrieval Tasks ImageCLEF 2006 hosted two independent retrieval tasks: The medical retrieval task [6] and the photo retrieval task [7] .  ...  Acknowledgement This work was partially funded by the DFG (Deutsche Forschungsgemeinschaft) under contract NE-572/6.  ... 
doi:10.1007/978-3-540-74999-8_91 fatcat:4hk4kdhygnhhrl74hqqtgsmawi

Investigating the combination of structural and textual information about multimedia retrieval

Sana FAKHFAKH, Mohamed TMAR, Walid MAHDI
2014 International Journal of Advanced Computer Science and Applications  
Experimental evaluation is carried out using the INEX Ad Hoc Task 2007 and the Image CLEF Wikipedia Retrieval Task 2010.  ...  The expansion of structured information in different applications introduces a new ambiguity in multimedia retrieval in semi-structured documents.  ...  I INEX 2007 AND IMAGECLEF 2010 COLLECTIONS Company INEX 2007 ImageCLEF 2010 Task Collection XML Ad Hoc Wikipedia Retrieval Number of XML document 659388 237434 Number of image 246730  ... 
doi:10.14569/ijacsa.2014.050218 fatcat:4gpmvsznzfe77mr57okib6jaum

Deformations, patches, and discriminative models for automatic annotation of medical radiographs

Thomas Deselaers, Hermann Ney
2008 Pattern Recognition Letters  
The methods were applied in the medical image annotation tasks of ImageCLEF in 2005, 2006, and 2007.  ...  Our methods performed best in the 2005 and 2006 evaluations and second best in 2007.  ...  This work was partially funded by the DFG (Deutsche Forschungsgemeinschaft) under contract NE-572/6.  ... 
doi:10.1016/j.patrec.2008.03.013 fatcat:4acprbzqyfchbdxnky3jni3toy

Image Classification with a Frequency–Based Information Retrieval Scheme for ImageCLEFmed 2006 [chapter]

Henning Müller, Tobias Gass, Antoine Geissbuhler
2007 Lecture Notes in Computer Science  
This article describes the participation of the University and Hospitals of Geneva at the ImageCLEF 2006 image classification tasks (medical and non-medical).  ...  The techniques applied are based on classical tf/idf weightings of visual features as used in the GIFT (GNU Image Finding Tool) image retrieval engine.  ...  Acknowledgements This work was partially supported by the Swiss National Foundation (Grant 205321-109304/1).  ... 
doi:10.1007/978-3-540-74999-8_78 fatcat:pljyfulhnbgu7ph7j5fopfr7da
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