Name
Abstract | ||
|---|---|---|
We present a method that is able to find the most informative video portions, leading to a summarization of video sequences. In contrast to the existing works, our method is able to capture the important video portions through information about individual local motion regions, as well as the interactions between these motion regions. In particular, our proposed context-aware video summarization (C... |
Year | DOI | Venue |
|---|---|---|
2016 | 10.1109/TIP.2016.2601493 | IEEE Transactions on Image Processing |
Keywords | Field | DocType |
Correlation,Dictionaries,Motion segmentation,Surveillance,Automobiles,Video sequences,Feature extraction | Computer vision,Automatic summarization,Block-matching algorithm,Pattern recognition,Computer science,Neural coding,Motion compensation,Multiview Video Coding,Feature extraction,Video tracking,Artificial intelligence,Video compression picture types | Journal |
Volume | Issue | ISSN |
25 | 11 | 1057-7149 |
Citations | PageRank | References |
7 | 0.43 | 21 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Shu Zhang | 1 | 38 | 3.32 |
| Yingying Zhu | 2 | 410 | 26.41 |
| Amit K. Roy Chowdhury | 3 | 1153 | 73.96 |