The performance assessment is conducted by comparing the results of the retrieval algorithm to human judgment: Automatically retrieved annotations of a test ...
Multimedia retrieval systems are often evaluated on different test collections with different performance measures, which makes the comparison of retrieval ...
We describe the design of the Mechanical Turk setup that we used to generate the affective annotations for the corpus. We discuss spe-cific issues that arose ...
Evaluation of image annotation using Amazon mechanical Turk in ImageCLEF ... Evaluating a Convolutional Neural Network and a Mosaic Image Database for Land Use ...
Evaluation of Image Annotation Using Amazon Mechanical Turk in ImageCLEF. J. Liebetrau, S. Nowak, and S. Schneider. Towards the Internet of Services ...
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Evaluation of Image Annotation Using Amazon Mechanical Turk in ImageCLEF ... Image Processing and Computer Vision, System Performance and Evaluation ...
Evaluation of Image Annotation Using Amazon Mechanical Turk in ImageCLEF. J. Liebetrau, S. Nowak, und S. Schneider. Towards the Internet of Services ...
Experiences with MTurk from ImageCLEF 2010 show the ap- plicability of ... reliable analysis of the performance of textual runs in image annotation.
In contrast to the annotations from last year, the new annotations will be obtained via Amazon Mechanical Turk. Data Sets. The task uses the MIR Flickr ...
2010. Collecting Image Annotations Using Amazon's Mechanical Turk. In Proceedings of the NAACL HLT 2010 Workshop on Creating Speech and Language Data with ...
Missing: Evaluation ImageCLEF.