DOI

Benchmarks have the power to bring research communities together to focus on specific research challenges. They drive research forward by making it easier to systematically compare and contrast new solutions, and evaluate their performance with respect to the existing state of the art. In this chapter, we present a retrospective on the Placing Task, a yearly challenge offered by the MediaEval Multimedia Benchmark. The Placing Task, launched in 2010, is a benchmarking task that requires participants to develop algorithms that automatically predict the geolocation of social multimedia (videos and images). This chapter covers the editions of the Placing Task offered in 2010–2013, and also presents an outlook onto 2014. We present the formulation of the task and the task dataset for each year, tracing the design decisions that were made by the organizers, and how each year built on the previous year. Finally, we provide a summary of future directions and challenges for multimodal geolocation, and concluding remarks on how benchmarking has catalyzed research progress in the research area of geolocation prediction for social multimedia.
Original languageEnglish
Title of host publicationMultimodal Location Estimation of Videos and Images
EditorsJaeyoung Choi, Gerald Friedland
Place of PublicationCham
PublisherSpringer
Pages5-40
Number of pages36
ISBN (Electronic)978-3-319-09861-6
ISBN (Print)978-3-319-09860-9
DOIs
StatePublished - 2015

    Research areas

  • Signal, Image and Speech Processing , Communications Engineering, Networks, Multimedia Information Systems

ID: 2310794