| Autor: |
Wu, Renzhi, Chunduri, Pramod, Shah, Dristi J, Aravind, Ashmitha Julius, Payani, Ali, Chu, Xu, Arulraj, Joy, Rong, Kexin |
| Rok vydání: |
2024 |
| Předmět: |
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| Zdroj: |
Published on International Conference on Very Large Databases 2024 |
| Druh dokumentu: |
Working Paper |
| Popis: |
In this paper, we will present SketchQL, a video database management system (VDBMS) for retrieving video moments with a sketch-based query interface. This novel interface allows users to specify object trajectory events with simple mouse drag-and-drop operations. Users can use trajectories of single objects as building blocks to compose complex events. Using a pre-trained model that encodes trajectory similarity, SketchQL achieves zero-shot video moments retrieval by performing similarity searches over the video to identify clips that are the most similar to the visual query. In this demonstration, we introduce the graphic user interface of SketchQL and detail its functionalities and interaction mechanisms. We also demonstrate the end-to-end usage of SketchQL from query composition to video moments retrieval using real-world scenarios. |
| Databáze: |
arXiv |
| Externí odkaz: |
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