CrossRef Text and Data Mining
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Viewer’s Affective Feedback for Video Summarization
Journal of Information Processing Systems. 2015;11(1):76-94.   Published online 2015 January 28    DOI: https://doi.org/10.3745/JIPS.01.0006

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Investigation of Automatic Video Summarization using Viewer’s Physiological, Facial and Attentional Features
2019 IEEE 15th International Conference on Intelligent Computer Communication and Processing (ICCP). 2019;271-276   
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Divide-and-conquer based summarization framework for extracting affective video content
Neurocomputing. 2016;174:393-403   
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Viewer’s Choice: New on Video
JOM. 1988;40(10):58-58   
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Video summarization preserving dynamic content
Proceedings of the international workshop on TRECVID video summarization. 2007;40-44   
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EEG-Video Emotion-Based Summarization: Learning With EEG Auxiliary Signals
IEEE Transactions on Affective Computing. 2022;13(4):1827-1839   
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Binary tree based on-line video summarization
Proceedings of the 2nd ACM TRECVid Video Summarization Workshop. 2008;134-138   
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Sequence alignment for redundancy removal in video rushes summarization
Proceedings of the 2nd ACM TRECVid Video Summarization Workshop. 2008;55-59   
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Rushes video summarization by object and event understanding
Proceedings of the international workshop on TRECVID video summarization. 2007;25-29   
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Perceptual Video Summarization—A New Framework for Video Summarization
IEEE Transactions on Circuits and Systems for Video Technology. 2017;27(8):1790-1802   
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Adaptive acceleration and shot stacking for video rushes summarization
Proceedings of the 2nd ACM TRECVid Video Summarization Workshop. 2008;109-113   
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