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DATA ANALYTICS BENCHMARKING SERIES
DATA ANALYTICS BENCHMARKING DOWNLOAD

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Thornley, C.V., Johnson, A.C., Smeaton, A.F., Lee, H.: The scholarly impact of TRECVid (2003–2009). In: Proceedings of the TRECVID 2003 Conference (December 2003) Smeaton, A.F., Kraaij, W., Over, P.: TRECVID 2003: An overview. Project Number 0211875, RTI International (2010) Rowe, B.R., Wood, D.W., Link, A.N., Simoni, D.A.: Economic impact assessment of NIST’s Text REtrieval Conference (TREC) Program.

DATA ANALYTICS BENCHMARKING SERIES

The Springer International Series On Information Retrieval, vol. 32. (eds.): ImageCLEF – Experimental Evaluation in Visual Information Retrieval. Müller, H., Clough, P., Deselaers, T., Caputo, B. In: Proceedings of the First Text REtrieval Conference (TREC–1), Washington DC, USA, pp. Harman, D.: Overview of the first Text REtrieval Conference (TREC–1). In: Quiñonero-Candela, J., Dagan, I., Magnini, B., d’Alché-Buc, F. IEEE (2008)Įveringham, M., Zisserman, A., Williams, C.K.I., Van Gool, L., Allan, M., Bishop, C.M., Chapelle, O., Dalal, N., Deselaers, T., Dorkó, G., Duffner, S., Eichhorn, J., Farquhar, J.D.R., Fritz, M., Garcia, C., Griffiths, T., Jurie, F., Keysers, D., Koskela, M., Laaksonen, J., Larlus, D., Leibe, B., Meng, H., Ney, H., Schiele, B., Schmid, C., Seemann, E., Shawe-Taylor, J., Storkey, A.J., Szedmak, S., Triggs, B., Ulusoy, I., Viitaniemi, V., Zhang, J.: The 2005 PASCAL Visual Object Classes Challenge. In: 10th IEEE International Conference on High Performance Computing and Communications, pp. ACM SIGIR Forum 42(2), 9–15 (2008)īuyya, R., Yeo, C.S., Venugopal, S.: Market–oriented cloud computing: Vision, hype, and reality for delivering it services as computing utilities.

case–based medical information retrievalĪlonso, O., Rose, D.E., Stewart, B.: Crowdsourcing for relevance evaluation.

It is planned to run two evaluation campaigns in 20 using the proposed technology. This text presents reflections and ideas of a concrete project on using cloud–based benchmarking paradigms for medical image analysis and retrieval. Instead of distributing the data to the participants, the participants can compute their algorithms on virtual machines of the cloud providers. With cloud computing it is possible to make very large data sets available in a central place with limited costs. Sending physical hard disks was also used for distributing very large scale data sets (for example by TRECvid) but also this becomes infeasible if the data sets reach sizes of 5–10 TB.

DATA ANALYTICS BENCHMARKING DOWNLOAD

Distribution of the data to participants is currently mostly done via data download that can take hours for large data sets and in countries with slow Internet connections even days.

Problems of running benchmarks include obtaining large amounts of data, annotating it and then distributing it to the participants of a benchmark. Benchmarks have shown to be an important tool to advance science in the fields of information analysis and retrieval.