Name
Abstract | ||
|---|---|---|
We contribute a scalable, open source implementation of the Pooled Time Series (PoT) algorithm from CVPR 2015. The algorithm is evaluated on approximately 6800 human trafficking (HT) videos collected from the deep and dark web, and on an open dataset: the Human Motion Database (HMDB). We describe PoT and our motivation for using it on larger data and the issues we encountered. Our new solution reimagines PoT as an Apache Hadoop-based algorithm. We demonstrate that our new Hadoop-based algorithm successfully identifies similar videos in the HT and HMDB datasets and we evaluate the algorithm qualitatively and quantitatively. |
Year | DOI | Venue |
|---|---|---|
2017 | 10.1145/3078971.3079019 | ICMR |
Keywords | Field | DocType |
pooled time series, hadoop, darpa, memex, video | Data mining,Memex,Computer science,Human motion,Deep Web,Human trafficking,Scalability | Conference |
Citations | PageRank | References |
1 | 0.35 | 9 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Chris A. Mattmann | 1 | 200 | 25.39 |
| Madhav Sharan | 2 | 1 | 0.35 |