2019 | OriginalPaper | Buchkapitel
Image Retrieval Evaluation in Specific Domains
verfasst von : Luca Piras, Barbara Caputo, Duc-Tien Dang-Nguyen, Michael Riegler, Pål Halvorsen
Erschienen in: Information Retrieval Evaluation in a Changing World
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Image retrieval was, and still is, a hot topic in research. Image retrieval It comes with many challenges that changed over the years with the emergence of more advanced methods for analysis and enormous growth of images created, shared and consumed. This chapter gives an overview of domain-specific Domain-specific retrieval image retrieval evaluation approaches, which were part of the ImageCLEF evaluation campaign ImageCLEF Evaluation lab Evaluation initiative . Specifically, the robot vision, Robot vision photo retrieval, scalable image annotation and lifelogging tasks are presented. Lifelogging The ImageCLEF medical activity is described in a separate chapter in this volume. Some of the presented tasks have been available for several years, whereas others are quite new (like lifelogging). This mix of new and old topics has been chosen to give the reader an idea about the development and trends within image retrieval. For each of the tasks, the datasets, participants, techniques used and lessons learned are presented and discussed leading to a comprehensive summary.