REVIEW: A Real-time Virtual Walkthrough System
Summary: REVIEW is a real-time walkthrough system that renders large scenes by indexing objects on secondary storage with an R-tree and a Complement Search for relevant data. History-driven prefetching predicts view frustums to preload objects; a distance-priority-LRU cache biases high-level R-tree nodes, lowering I/O and boosting frame rates. (summarized by gpt-5-nano on Feb 09 2026)
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Authors
- 1. L. Shou (National University of Singapore)
- 2. C. H. Chionh (National University of Singapore)
- 3. Z. Huang (National University of Singapore)
- 4. Y. Ruan (National University of Singapore)
- 5. K.-L. Tan (National University of Singapore)
BibTeX Citation
@inproceedings{shou_sigmod01,
title = {{REVIEW: A Real-time Virtual Walkthrough System}},
author = {Shou, L. and Chionh, C. H. and Huang, Z. and Ruan, Y. and Tan, K.-L.},
series = {{SIGMOD} '01},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/375663.375755},
url = {https://dl.acm.org/doi/10.1145/375663.375755},
year = {2001}
}
Incoming Citations (Sorted by Pagerank)
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| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 6,715 | Walking Through A Very Large Virtual Environment In Real-time | 2001 | VLDB | 5.7959545e-05 |
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