LTC-SUM: Lightweight Client-Driven Personalized Video Summarization Framework Using 2D CNN
This paper proposes a novel lightweight thumbnail container-based summarization (LTC-SUM) framework for full feature-length videos. This framework generates a personalized keyshot summary for concurrent users by using the computational resource of the end-user device. State-of-the-art methods that a...
Main Authors: | Ghulam Mujtaba, Adeel Malik, Eun-Seok Ryu |
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Format: | Article |
Language: | English |
Published: |
IEEE
2022-01-01
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Series: | IEEE Access |
Subjects: | |
Online Access: | https://ieeexplore.ieee.org/document/9902992/ |
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