mlsanityData to 7 Oct 2026

TransNet: A deep network for fast detection of common shot transitions

arXiv 1906.03363 ↗First posted 8 Jun 2019cs.CVcited by 15

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Abstract (arXiv)

Shot boundary detection (SBD) is an important first step in many video processing applications. This paper presents a simple modular convolutional neural network architecture that achieves state-of-the-art results on the RAI dataset with well above real-time inference speed even on a single mediocre GPU. The network employs dilated convolutions and operates just on small resized frames. The training process employed randomly generated transitions using selected shots from the TRECVID IACC.3 dataset. The code and a selected trained network will be available at https://github.com/soCzech/TransNet.

Key facts. Cited by 15 papers in the map (data through 7 Oct 2026). First posted on arXiv 8 Jun 2019.

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Citing papers per year: 2021: 4; 2022: 3; 2023: 2; 2024: 2; 2025: 0; 2026: 4.

15 papers.

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