Deep hierarchical LSTM networks with attention for video summarization

Jingxu Lin; Sheng-hua Zhong; Ahmed Fares

doi:10.1016/j.compeleceng.2021.107618

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Deep hierarchical LSTM networks with attention for video summarization

Jingxu Lin Sheng-hua Zhong Ahmed Fares

Year: 2021 Journal: Computers & Electrical Engineering Vol: 97 Pages: 107618-107618 Publisher: Elsevier BV

DOI: 10.1016/j.compeleceng.2021.107618

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Keywords:

Automatic summarization Computer science Artificial intelligence Frame (networking) Task (project management) Recurrent neural network Deep learning Feature (linguistics) Pattern recognition (psychology) Feature extraction Process (computing) Artificial neural network

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4.80

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0.96

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Topics

Video Analysis and Summarization

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Music and Audio Processing

Physical Sciences → Computer Science → Signal Processing

Advanced Image and Video Retrieval Techniques

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Deep hierarchical LSTM networks with attention for video summarization

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Citation History

Topics

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