Efficient Video Summarization with Hydra Attentive Vision Transformer-Reference-Cited by-同舟云学术

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Efficient Video Summarization with Hydra Attentive Vision Transformer

Published:2023-12-11 Issue: Volume: Page:
ISSN:
Container-title:2023 International Conference on Frontiers of Information Technology (FIT)
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Author:

Ali Muhammad Shafqat¹,Azhar Muhammad¹,Masood Saba²,Lee Bumshik¹,Iqbal Tanzeela³,Amjad Adeen¹

Affiliation:

1. Comsats University Islamabad,Department of Computer Science,Sahiwal,Pakistan

2. Hong Kong Shue Yan University,Department of Applied Data Science,Hong Kong

3. Chosun University,Department of Information and Communication Engineering,Gwangju,Republic of Korea

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10410269/10410290/10410409.pdf?arnumber=10410409

Reference33 articles.

1. Video summarisation: A conceptual framework and survey of the state of the art

2. Eratosthenes sieve based key-frame extraction technique for event summarization in videos

3. Review of Visual Saliency Detection With Comprehensive Information

4. Recognition of printed Urdu script in Nastaleeq font by using CNN-BiGRU-GRU Based Encoder-Decoder Framework

5. An Image captioning algorithm based on the Hybrid Deep Learning Technique (CNN+GRU)

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