Multi-shot Temporal Event Localization: a Benchmark

Understand

Current developments in temporal event or action localization usually target actions captured by a single camera.

• However, extensive events or actions in the wild may be captured as a sequence of shots by multiple cameras at different positions.
• In this paper, we propose a new and challenging task called multi-shot temporal event localization, and accordingly, collect a large scale dataset called MUlti-Shot EventS (MUSES).
• MUSES has 31,477 event instances for a total of 716 video hours.