The placing task: A large-scale geo-estimation challenge for social-media videos and images

Abstract

The Placing Task is a yearly challenge offered by the Media-Eval 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 images and 35,000 videos. This standardized benchmark with a large persistent dataset allows the 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.