Publication | Open Access
The Placing Task
31
Citations
16
References
2014
Year
Unknown Venue
Placing TaskEngineeringGeographic Information RetrievalTask AnalysisLocation-aware Social MediumTask PlanningCommunicationVideo RetrievalComputational Social ScienceSocial MediaInformation RetrievalData ScienceContent AnalysisUser ExperienceTask AllocationInformation ManagementVideo UnderstandingSocial Multimedia TaggingComputer VisionArchitectural DesignStandardized BenchmarkLarge Persistent DatasetHuman-computer InteractionArtsBig Data
The Placing Task is a yearly challenge offered by the MediaEval Multimedia Benchmarking Initiative that requires participants to develop algorithms that automatically predict the geo-location of social media videos and images. We introduce a recent development of a new standardized web-scale geo-tagged dataset for Placing Task 2014, which contains 5.5 million photos and 35,000 videos. This standardized benchmark with a large persistent dataset allows research community to easily evaluate new algorithms and to analyze their performance with respect to the state-of-the-art approaches. We discuss the characteristics of this year's Placing Task along with the description of the new dataset components and how they were collected.
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