TY - GEN
T1 - News story clustering with fisher embedding
AU - Chu, Wei Ta
AU - Hsu, Han Nung
N1 - Publisher Copyright:
© 2016 IEEE.
PY - 2016/5/18
Y1 - 2016/5/18
N2 - An automatic news story clustering system is presented to facilitate efficient news browsing and summarization. We describe news content by considering both what objects appear and how these objects move in news stories. With Fisher embedding, we respectively encode local features, semantics features, and dense trajectories as Fisher vectors, based on which similarity between news stories can be well evaluated and thus better clustering performance can be obtained. We verify the effectiveness of Fisher encoding, and further show that motion-based features are more effective than appearance-based features through feature analysis.
AB - An automatic news story clustering system is presented to facilitate efficient news browsing and summarization. We describe news content by considering both what objects appear and how these objects move in news stories. With Fisher embedding, we respectively encode local features, semantics features, and dense trajectories as Fisher vectors, based on which similarity between news stories can be well evaluated and thus better clustering performance can be obtained. We verify the effectiveness of Fisher encoding, and further show that motion-based features are more effective than appearance-based features through feature analysis.
UR - http://www.scopus.com/inward/record.url?scp=84973349195&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84973349195&partnerID=8YFLogxK
U2 - 10.1109/ICASSP.2016.7471861
DO - 10.1109/ICASSP.2016.7471861
M3 - Conference contribution
AN - SCOPUS:84973349195
T3 - ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
SP - 1175
EP - 1178
BT - 2016 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2016 - Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 41st IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2016
Y2 - 20 March 2016 through 25 March 2016
ER -