Title | ||
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The Placing Task: A Large-Scale Geo-Estimation Challenge for Social-Media Videos and Images |
Abstract | ||
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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 Choi | 1 | 783 | 110.19 |
Bart Thomee | 2 | 773 | 39.96 |
Gerald Friedland | 3 | 1127 | 96.23 |
liangliang cao | 4 | 1816 | 90.71 |
Karl Ni | 5 | 241 | 10.01 |
Damian Borth | 6 | 764 | 49.45 |
Benjamin Elizalde | 7 | 359 | 22.38 |
Luke R. Gottlieb | 8 | 23 | 2.51 |
Carmen Carrano | 9 | 23 | 2.17 |
Roger A. Pearce | 10 | 30 | 3.76 |
Douglas Poland | 11 | 242 | 10.40 |