Video Summarization Using Neural Networks.

Date of Submission

December 2020

Date of Award

Winter 12-12-2021

Institute Name (Publisher)

Indian Statistical Institute

Document Type

Master's Dissertation

Degree Name

Master of Technology

Subject Name

Computer Science


Electronics and Communication Sciences Unit (ECSU-Kolkata)


Pal, Nikhil Ranjan (ECSU-Kolkata; ISI)

Abstract (Summary of the Work)

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 first segmented the shots and extracted key frames from each shot. And these key frames are combined to generate a storyboard. We have experimented with different clustering techniques such as k-mean, k-medoid and self-organizing maps. We evaluated our results using a human-generated summary.


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Creative Commons License

Creative Commons Attribution 4.0 International License
This work is licensed under a Creative Commons Attribution 4.0 International License.


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