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ACM Multimedia 2025Grand Challenges

Interactive Retrieval System for Multi-Stream Collections: multiXview at CASTLE 2025 Interactive Grand Challenge

Omar Shahbaz Khan, Ujjwal Sharma 0001, Gonçalo Marcelino, Aaron Duane, Stevan Rudinac, Marcel Worring, Björn Þór Jónsson 0001

PDF 由论文原始站点提供,PaperCompass 不保存论文文件。DOI 10.1145/3746027.3760243 ↗

摘要

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.