dc.contributor.author |
Kumar, Manish |
|
dc.date.accessioned |
2021-07-29T05:34:04Z |
|
dc.date.available |
2021-07-29T05:34:04Z |
|
dc.date.issued |
2020-07 |
|
dc.identifier.citation |
34p. |
en_US |
dc.identifier.uri |
http://hdl.handle.net/10263/7169 |
|
dc.description |
Dissertation under the supervision of Nikhil R. Pal, Professor, ECSU |
en_US |
dc.description.abstract |
With the rapid increase in video data, the need for video summarization has increased.
it allows us to search and retrieve video data easily. In this work, we have tried to solve
the problem of video summary using unsupervised learning. Our method is based on
the extraction of key frames. So we rst segmented the shots and extracted key frames
from each shot. And these key frames are combined to generate a storyboard. We
have experimented with di erent clustering techniques such as k-mean, k-medoid and
self-organizing maps. We evaluated our results using a human-generated summary. |
en_US |
dc.language.iso |
en |
en_US |
dc.publisher |
Indian Statistical Institute, Kolkata |
en_US |
dc.relation.ispartofseries |
Dissertation;;2020-15 |
|
dc.subject |
Video summarization |
en_US |
dc.subject |
Key frames |
en_US |
dc.subject |
Clustering |
en_US |
dc.subject |
Self Organizing Maps |
en_US |
dc.title |
Video Summarization using Neural Networks |
en_US |
dc.type |
Other |
en_US |