Author: Yan Song
Publication Overview
Publication period start: 2009
Number of co-authors: 9
Co-Authors
Number of publications with favourite co-authors
Productive Colleagues
Most productive colleagues in number of publications
Publications
Wang,
Meng,
Song,
Yan,
Yuan,
Xun,
Zhang,
Hongjiang,
Hua,
Xian-Sheng,
Li,
Shipeng
(2006):
Automatic video annotation by semi-supervised learning with kernel density estimation.
In:
Nahrstedt,
Klara,
Turk,
Matthew,
Rui,
Yong,
Klas,
Wolfgang,
Mayer-Patel,
Ketan
(eds.)
Proceedings of the 14th ACM International Conference on Multimedia
October 23-27,
2006,
Santa Barbara, CA, USA.
pp. 967-976.
https://doi.acm.org/10.1145/1180639.1180855
Tang,
Jinhui,
Song,
Yan,
Hua,
Xian-Sheng,
Mei,
Tao,
Wu,
Xiuqing
(2006):
To construct optimal training set for video annotation.
In:
Nahrstedt,
Klara,
Turk,
Matthew,
Rui,
Yong,
Klas,
Wolfgang,
Mayer-Patel,
Ketan
(eds.)
Proceedings of the 14th ACM International Conference on Multimedia
October 23-27,
2006,
Santa Barbara, CA, USA.
pp. 89-92.
https://doi.acm.org/10.1145/1180639.1180667
Wang,
Meng,
Mei,
Tao,
Yuan,
Xun,
Song,
Yan,
Dai,
Li-Rong
(2007):
Video annotation by graph-based learning with neighborhood similarity.
In:
Lienhart,
Rainer,
Prasad,
Anand R.,
Hanjalic,
Alan,
Choi,
Sunghyun,
Bailey,
Brian P.,
Sebe,
Nicu
(eds.)
Proceedings of the 15th International Conference on Multimedia 2007
September 24-29,
2007,
Augsburg, Germany.
pp. 325-328.
https://doi.acm.org/10.1145/1291233.1291303
Wang,
Meng,
Hua,
Xian-Sheng,
Yuan,
Xun,
Song,
Yan,
Dai,
Li-Rong
(2007):
Optimizing multi-graph learning: towards a unified video annotation scheme.
In:
Lienhart,
Rainer,
Prasad,
Anand R.,
Hanjalic,
Alan,
Choi,
Sunghyun,
Bailey,
Brian P.,
Sebe,
Nicu
(eds.)
Proceedings of the 15th International Conference on Multimedia 2007
September 24-29,
2007,
Augsburg, Germany.
pp. 862-871.
https://doi.acm.org/10.1145/1291233.1291431
Wang,
Meng,
Song,
Yan,
Hua,
Xian-Sheng
(2009):
Concept representation based video indexing.
In:
Proceedings of the 32nd Annual International ACM SIGIR Conference on Research and Development in Information Retrieval
,
2009,
.
pp. 654-655.
https://doi.acm.org/10.1145/1571941.1572062