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Camera shot boundary detection
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
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The objective of camera shot boundary detection is to find the transitions between the camera shots in a video and classify the type of camera transition. This task is introduced in SoccerNet-v2, where 3 types of transitions are considered (abrupt, logo, smooth).
논문
이 태스크와 하위 분야의 관련 논문입니다. 실제 성능 비교는 평가 결과에서 확인하세요.
SoccerNet-v2: A Dataset and Benchmarks for Holistic Understanding of Broadcast Soccer Videos
TransNet V2: An effective deep network architecture for fast shot transition detection
TransNet: A deep network for fast detection of common shot transitions
Fast Video Shot Transition Localization with Deep Structured Models
Ridiculously Fast Shot Boundary Detection with Fully Convolutional Neural Networks
Large-scale, Fast and Accurate Shot Boundary Detection through Spatio-temporal Convolutional Neural Networks
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