Title
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 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.
Year
DOI
Venue
2014
10.1145/2661118.2661125
GeoMM
Keywords
Field
DocType
benchmark,location estimation,placing,retrieval models,dataset
Data science,Social media,Computer science,Benchmarking
Conference
Citations 
PageRank 
References 
23
2.17
13
Authors
11
Name
Order
Citations
PageRank
Jae-Young Choi1783110.19
Bart Thomee277339.96
Gerald Friedland3112796.23
liangliang cao4181690.71
Karl Ni524110.01
Damian Borth676449.45
Benjamin Elizalde735922.38
Luke R. Gottlieb8232.51
Carmen Carrano9232.17
Roger A. Pearce10303.76
Douglas Poland1124210.40