Name
Abstract | ||
|---|---|---|
Visual understanding is a broad term used to describe efforts to extract meaning and knowledge from images computationally. Much effort has been spent by researchers to develop methods to allow for information to be gained from images the way humans do. However, it has proven to be a very difficult problem. Since the 1950s researchers have been attempting to come up with better methods of understanding images. The results however were generally very limited in application and far worse than what an average person was capable of. |
Year | DOI | Venue |
|---|---|---|
2015 | 10.1145/2791321.2791342 | International Workshop on OpenCL 2015 |
DocType | Citations | PageRank |
Conference | 0 | 0.34 |
References | Authors | |
2 | 7 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Jeremy Bottleson | 1 | 3 | 1.74 |
| Sungye Kim | 2 | 138 | 11.54 |
| Jeff Andrews | 3 | 0 | 0.34 |
| Preeti Bindu | 4 | 0 | 1.01 |
| Deepak N. Murthy | 5 | 0 | 0.34 |
| Joseph S. Spisak | 6 | 0 | 0.34 |
| Jingyi Jin | 7 | 0 | 0.68 |