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Although automatic shot transition detection approaches are already investigated for more than two decades, an effective universal human-level model was not proposed yet.
Simultaneous detection of abrupt cuts and dissolves in videos using support vector machines
Vasileios Chasanis, Aristidis Likas, and Nikolaos Galatsanos. 2009 · 2009
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Video shot boundary detection: Seven years of TRECVid activity
Alan F. Smeaton, Paul Over, and Aiden R. Doherty. 2010 · 2010
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Large-scale Video Classification with Convolutional Neural Networks. In The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)
Andrej Karpathy, George Toderici, Sanketh Shetty, Thomas Leung, Rahul Sukthankar, and Li Fei-Fei. 2014 · 2014
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Learning Spatiotemporal Features With 3D Convolutional Networks. In The IEEE International Conference on Computer Vision (ICCV)
Du Tran, Lubomir Bourdev, Rob Fergus, Lorenzo Torresani, and Manohar Paluri. 2015 · 2015
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TRECVID 2017: Evaluating Ad-hoc and Instance Video Search, Events Detection, Video Captioning and Hyperlinking. In Proceedings of TRECVID 2017 . NIST, USA
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Ridiculously Fast Shot Boundary Detection with Fully Convolutional Neural Networks
Michael Gygli. 2017 · 2017
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Ahmed Hassanien, Mohamed A. Elgharib, Ahmed Selim, Mohamed Hefeeda, and Wojciech Matusik. 2017 · 2017
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Fast Video Shot Transition Localization with Deep Structured Models
Shitao Tang, Litong Feng, Zhanghui Kuang, Yimin Chen, and Wei Zhang. 2018 · 2018
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Rethinking Spatiotemporal Feature Learning: Speed-Accuracy Trade-offs in Video Classification. In The European Conference on Computer Vision (ECCV)
Saining Xie, Chen Sun, Jonathan Huang, Zhuowen Tu, and Kevin Murphy. 2018 · 2018
Cited alongside, same era.
A Framework for Effective Known-Item Search in Video. In Proceedings of the 27th ACM International Conference on Multimedia (Nice, France) (MM ’19) . Association for Computing Machinery, New York, NY, USA, 1777–1785
Jakub Lokoč, Gregor Kovalčik, Tomáš Souček, Jaroslav Moravec, and Přemysl Čech. 2019 · 2019
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V3C – A Research Video Collection. In MultiMedia Modeling . Springer International Publishing, Cham, 349–360
Luca Rossetto, Heiko Schuldt, George Awad, and Asad A. Butt. 2019 · 2019
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Interactive Video Retrieval in the Age of Deep Learning - Detailed Evaluation of VBS 2019
L. Rossetto, R. Gasser, J. Lokoc, W. Bailer, K. Schoeffmann, B. Muenzer, T. Soucek, P. A. Nguyen, P. Bolettieri, A. Leibetseder, and S. Vrochidis. 2020 · 2020
Closest in time.
Deep learning based approaches for shot transition detection and known-item search in video
Tomáš Souček. 2020 · 2020
Closest in time.
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A Deep Siamese Network for Scene Detection in Broadcast Videos. In Proceedings of the 23rd ACM International Conference on Multimedia (Brisbane, Australia) (MM ’15) . Association for Computing Machinery, New York, NY, USA, 1199–1202
Lorenzo Baraldi, Costantino Grana, and Rita Cucchiara. 2015a
Cited in the paper.
Shot and Scene Detection via Hierarchical Clustering for Re-using Broadcast Video. In Computer Analysis of Images and Patterns , George Azzopardi and Nicolai Petkov (Eds.). Springer International Publishing, Cham, 801–811
Lorenzo Baraldi, Costantino Grana, and Rita Cucchiara. 2015b
Cited in the paper.