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Video Summarization based on Keyframe Selection using Connectivity Centroid Clustering

Chowdhury, Arghadeep (2022) Video Summarization based on Keyframe Selection using Connectivity Centroid Clustering. Masters thesis, Dublin, National College of Ireland.

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Video summarization helps in obtaining important parts of a video by retaining and summarizing its vital information. This process is vital in video-sharing websites such as YouTube, and OTT platforms like Netflix and Prime Video. Summarizing a video, movie or show helps the user to get an overview of what the video contains. This study develops a video summarization technique based on the unsupervised learning method of connectivity clustering to identify keyframes from a video. The keyframes obtained from the video are used to create a video summary. The algorithm makes use of the singular value decomposition technique to obtain the similarity between the frames to cluster them hierarchically. The developed model is tested with the recently developed VSSUM algorithm for evaluation and the results obtained conclude that the developed algorithm is comparable to the VSSUM.

Item Type: Thesis (Masters)
Subjects: Q Science > QA Mathematics > Electronic computers. Computer science
T Technology > T Technology (General) > Information Technology > Electronic computers. Computer science
T Technology > TR Photography
Z Bibliography. Library Science. Information Resources > ZA Information resources > ZA4150 Computer Network Resources > The Internet
T Technology > TK Electrical engineering. Electronics. Nuclear engineering > Telecommunications > The Internet
Divisions: School of Computing > Master of Science in Data Analytics
Depositing User: Tamara Malone
Date Deposited: 24 Jan 2023 10:39
Last Modified: 24 Jan 2023 10:39

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