Name
Abstract | ||
|---|---|---|
This paper provides a description of the MediaEval 2015 \Aective Impact of Movies Task", which is running for the fth year, previously under the name \Violent Scenes Detection". In this year’s task, participants are expected to create systems that automatically detect video content that depicts violence, or predict the aective impact that video content will have on viewers. Here we provide insights on the use case, task challenges, data set and ground truth, task run requirements and evaluation metrics. |
Year | Venue | Field |
|---|---|---|
2015 | MediaEval | Computer science,Ground truth,Affect (psychology),Multimedia |
DocType | Citations | PageRank |
Conference | 14 | 0.99 |
References | Authors | |
9 | 9 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Mats Sjöberg | 1 | 69 | 11.88 |
| Yoann Baveye | 2 | 153 | 9.76 |
| Hanli Wang | 3 | 865 | 69.10 |
| Vu Lam Quang | 4 | 19 | 1.41 |
| Bogdan Ionescu | 5 | 458 | 56.67 |
| Emmanuel Dellandréa | 6 | 333 | 26.35 |
| Markus Schedl | 7 | 1431 | 117.09 |
| Claire-Hélène Demarty | 8 | 77 | 12.05 |
| Liming Chen | 9 | 2607 | 201.71 |