Interactive Retrieval System for Multi-Stream Collections : MultiXview at CASTLE 2025 Interactive Grand Challenge
Dagsetning
Höfundar
Journal Title
Journal ISSN
Volume Title
Útgefandi
Association for Computing Machinery, Inc
Útdráttur
We introduce multiXview, an interactive retrieval framework for synchronized multi-camera video collections. It features a multi-index search engine that supports natural-language queries over visual embeddings, speech transcripts, and scene descriptions. It supports a synchronized multi-stream player offering parallel playback, and a timeline-based navigation view for temporal scoping and faceted exploration. These components address the redundancy and fragmentation of overlapping egocentric and exocentric video feeds and enable users to locate, aggregate, and reconstruct events across partial perspectives. This paper focuses on system design and implementation, with quantitative and qualitative evaluation to take place at the CASTLE 2025 Grand Challenge Interactive Track.
Lýsing
Publisher Copyright: © 2025 Copyright held by the owner/author(s).
Efnisorð
castle, multi-stream interface, multimedia analytics, multimedia retrieval, Human-Computer Interaction, Software, Artificial Intelligence, Computer Graphics and Computer-Aided Design
Citation
Khan, O S, Sharma, U, Marcelino, G, Duane, A, Rudinac, S, Worring, M & Jónsson, B P 2025, Interactive Retrieval System for Multi-Stream Collections : MultiXview at CASTLE 2025 Interactive Grand Challenge. in MM 2025 - Proceedings of the 33rd ACM International Conference on Multimedia, Co-Located with MM 2025. MM 2025 - Proceedings of the 33rd ACM International Conference on Multimedia, Co-Located with MM 2025, Association for Computing Machinery, Inc, pp. 14273-14279, 33rd ACM International Conference on Multimedia, MM 2025, Dublin, Ireland, 27/10/25. https://doi.org/10.1145/3746027.3760243
conference
conference