This paper presents an overview of the ImageCLEF 2014 evaluation lab. Since its first edition in 2003, ImageCLEF has become one of the key initiatives promoting the benchmark evaluation of algorithms for the annotation and retrieval of images in various domains, such as public and personal images, to data acquired by mobile robot platforms and medical archives. Over the years, by providing new data collections and challenging tasks to the community of interest, the ImageCLEF lab has achieved an unique position in the image annotation and retrieval research landscape. The 2014 edition consists of four tasks: domain adaptation, scalable concept image annotation, liver CT image annotation and robot vision. This paper describes the tasks and the 2014 competition, giving a unifying perspective of the present activities of the lab while discussing future challenges and opportunities. © 2014 Springer International Publishing.
ImageCLEF 2014: Overview and analysis of the results / Caputo, Barbara; Müller, Henning; Martinez Gomez, Jesus; Villegas, Mauricio; Acar, Burak; Patricia, Novi; Marvasti, Neda; Üsküdarli, Suzan; Paredes, Roberto; Cazorla, Miguel; Garcia Varea, Ismael; Morell, Vicente. - STAMPA. - 8685:(2014), pp. 192-211. (Intervento presentato al convegno 5th International Conference of the CLEF Initiative, CLEF 2014 tenutosi a Sheffield; UK nel 15-18 September 2014) [10.1007/978-3-319-11382-1_18].
ImageCLEF 2014: Overview and analysis of the results
CAPUTO, BARBARA;PATRICIA, NOVI;
2014
Abstract
This paper presents an overview of the ImageCLEF 2014 evaluation lab. Since its first edition in 2003, ImageCLEF has become one of the key initiatives promoting the benchmark evaluation of algorithms for the annotation and retrieval of images in various domains, such as public and personal images, to data acquired by mobile robot platforms and medical archives. Over the years, by providing new data collections and challenging tasks to the community of interest, the ImageCLEF lab has achieved an unique position in the image annotation and retrieval research landscape. The 2014 edition consists of four tasks: domain adaptation, scalable concept image annotation, liver CT image annotation and robot vision. This paper describes the tasks and the 2014 competition, giving a unifying perspective of the present activities of the lab while discussing future challenges and opportunities. © 2014 Springer International Publishing.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
