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Please use this identifier to cite or link to this item:
http://bura.brunel.ac.uk/handle/2438/23405Full metadata record
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Meng, H | - |
| dc.contributor.author | Huang, J | - |
| dc.contributor.author | Huang, Y | - |
| dc.contributor.author | Wang, Q | - |
| dc.contributor.author | Yang, W | - |
| dc.date.accessioned | 2021-10-28T09:27:41Z | - |
| dc.date.available | 2021-10-28T09:27:41Z | - |
| dc.date.issued | 2021-09-20 | - |
| dc.identifier.citation | Huang, J., Huang, Y., Wang, Q., Yang, W. and Meng, H. 'Self-supervised Representation Learning for Videos by Segmenting via Sampling Rate Order Prediction,' IEEE Transactions on Circuits and Systems for Video Technology, 0 (in press), pp. 1-13. doi: 10.1109/TCSVT.2021.3114209. | en_US |
| dc.identifier.issn | 1051-8215 | - |
| dc.identifier.uri | https://bura.brunel.ac.uk/handle/2438/23405 | - |
| dc.description.sponsorship | Shenzhen Science and Technology Projects (Grant Number: JCYJ20200109143035495 and JCYJ20180306173210774). | en_US |
| dc.format.medium | Print-Electronic | - |
| dc.language.iso | en_US | en_US |
| dc.publisher | IEEE | en_US |
| dc.subject | task analysis | en_US |
| dc.subject | semantics | en_US |
| dc.subject | streaming media | en_US |
| dc.subject | feature extraction | en_US |
| dc.subject | data mining | en_US |
| dc.subject | motion segmentation | en_US |
| dc.subject | image segmentation | en_US |
| dc.title | Self-supervised Representation Learning for Videos by Segmenting via Sampling Rate Order Prediction | en_US |
| dc.type | Article | en_US |
| dc.identifier.doi | https://doi.org/10.1109/TCSVT.2021.3114209 | - |
| dc.relation.isPartOf | IEEE Transactions on Circuits and Systems for Video Technology | - |
| pubs.publication-status | Published online | - |
| dc.identifier.eissn | 1558-2205 | - |
| Appears in Collections: | Dept of Electronic and Electrical Engineering Research Papers | |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| FullText.pdf | 2.97 MB | Adobe PDF | View/Open |
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