Sports Video Action Recognition

Datta, Santanu

dc.contributor.author	Datta, Santanu
dc.date.accessioned	2022-01-28T05:24:11Z
dc.date.available	2022-01-28T05:24:11Z
dc.date.issued	2019-06-30
dc.identifier.citation	45p.	en_US
dc.identifier.uri	http://hdl.handle.net/10263/7249
dc.description	Dissertation under the supervision of Prof. Kumar Sankar Ray	en_US
dc.description.abstract	From playing games to driving cars, deep learning has achieved great success in the recent past.In this dissertation, we apply deep learning to recognize sports videos. We have implemented state of the art VGG3D model on different challenging state of the art video datasets. In this paper , we communicate our findings.	en_US
dc.language.iso	en	en_US
dc.publisher	Indian Statistical Institute, Kolkata	en_US
dc.relation.ispartofseries	Dissertation;;2019:4
dc.subject	Action recognition	en_US
dc.subject	Deep Learning	en_US
dc.title	Sports Video Action Recognition	en_US
dc.type	Other	en_US