Automatic Non-Linear Video Editing Transfer

Frey, Nathan C.; Chi, Peggy; Yang, Wei; Essa, Irfan

doi:10.48550/arxiv.2105.06988

Cited by 1 publication

(1 citation statement)

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“…Leaken et al [21] propose a system for efficient video editing by offering a set of basic idioms. Frey et al [9] develop an automatic approach that extracts editing styles in a source video and applies them to corresponding footage. Other works study the attributes and connection of individual shots [3,28,29].…”

Section: Related Workmentioning

confidence: 99%

Temporal and Contextual Transformer for Multi-Camera Editing of TV Shows

Rao¹,

Jiang²,

Wang³

et al. 2022

Preprint

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The ability to choose an appropriate camera view among multiple cameras plays a vital role in TV shows delivery. But it is hard to figure out the statistical pattern and apply intelligent processing due to the lack of high-quality training data. To solve this issue, we first collect a novel benchmark on this setting with four diverse scenarios including concerts, sports games, gala shows, and contests, where each scenario contains 6 synchronized tracks recorded by different cameras. It contains 88-hour raw videos that contribute to the 14-hour edited videos. Based on this benchmark, we further propose a new approach temporal and contextual transformer that utilizes clues from historical shots and other views to make shot transition decisions and predict which view to be used. Extensive experiments show that our method outperforms existing methods on the proposed multi-camera editing benchmark. 1 * Corresponding author 1 A shot is a series of continuous frames recorded by a camera and a track refers to the video recorded by one camera from a specific view.

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Section: Related Workmentioning

confidence: 99%