Name
Abstract | ||
|---|---|---|
•High-level multimodal video-data fusion solution for sensitive scene localization.•It can easily combine varied data types (e.g., frames, motion, audio, subtitles).•It can straightforwardly be applied to localize diverse types of sensitive scenes.•Results for pornographic and violent scene localization are reported.•The Pornography-2k dataset is introduced as a new benchmark for porn localization. |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1016/j.inffus.2018.03.001 | Information Fusion |
Keywords | Field | DocType |
Multimodal data fusion,Sensitive scene localization,Pornography localization,Violence localization | Multimodality,Child pornography,On demand,Information retrieval,General purpose,Upload,Sensor fusion,Artificial intelligence,Pornography,Mathematics,Machine learning,Violence detection | Journal |
Volume | ISSN | Citations |
45 | 1566-2535 | 1 |
PageRank | References | Authors |
0.35 | 35 | 8 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Daniel Moreira | 1 | 27 | 4.11 |
| Sandra De Avila | 2 | 38 | 8.96 |
| Mauricio Perez | 3 | 67 | 7.64 |
| Daniel Moraes | 4 | 33 | 3.37 |
| Vanessa Testoni | 5 | 36 | 8.01 |
| Eduardo Valle | 6 | 7 | 1.08 |
| Siome Goldenstein | 7 | 618 | 47.43 |
| Anderson Rocha | 8 | 913 | 69.11 |