A two-stage attention augmented fully convolutional network-based dynamic video summarization

Deeksha Gupta; Akashdeep Sharma

doi:10.1007/s00530-023-01154-2

ScienceGate Book Chapters

JOURNAL ARTICLE

A two-stage attention augmented fully convolutional network-based dynamic video summarization

Deeksha Gupta Akashdeep Sharma

Year: 2023 Journal: Multimedia Systems Vol: 29 (6)Pages: 3685-3701 Publisher: Springer Science+Business Media

DOI: 10.1007/s00530-023-01154-2

Get Full-Text PDF Get Analytical Report

Keywords:

Automatic summarization Computer science Benchmark (surveying) Artificial intelligence Frame (networking) Convolutional neural network Task (project management) Machine learning Pattern recognition (psychology) Data mining

Metrics

Cited By

1.27

FWCI (Field Weighted Citation Impact)

Refs

0.77

Citation Normalized Percentile

Is in top 1%

Is in top 10%

Citation History

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

A two-stage attention augmented fully convolutional network-based dynamic video summarization

Metrics

Citation History

Topics

Related Documents

Attention based fully convolutional network for video summarization

Video Summarization Using Fully Convolutional Residual Dense Network

Video summarization with a graph convolutional attention network

Convolutional Hierarchical Attention Network for Query-Focused Video Summarization

Dynamic graph convolutional network for multi-video summarization