# Building Movie Map -- A Tool for Exploring Areas in a City -- and its Evaluation

arXiv: https://arxiv.org/abs/2011.08525 · HTML: https://mlsanity.com/paper/2011.08525/

## Key facts

- Cited by 4 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 17 Nov 2020.

## Built on by (most cited first, 4 of 4)

- [Entity-NeRF: Detecting and Removing Moving Entities in Urban Scenes](https://mlsanity.com/paper/2403.16141/) (2024)
- [Intersection Prediction from Single 360deg Image via Deep Detection of Possible Direction of Travel](https://mlsanity.com/paper/2204.04634/) (2022)
- [360CityArena: A Realistic Virtual Urban Navigation Benchmark for Embodied Agents](https://mlsanity.com/paper/2608.08814/) (2026)
- [Distortion-Aware Self-Supervised 360deg Depth Estimation from A Single Equirectangular Projection Image](https://mlsanity.com/paper/2204.01027/) (2022)

## Abstract (arXiv)

We propose a new Movie Map system, with an interface for exploring cities. The system consists of four stages; acquisition, analysis, management, and interaction. In the acquisition stage, omnidirectional videos are taken along streets in target areas. Frames of the video are localized on the map, intersections are detected, and videos are segmented. Turning views at intersections are subsequently generated. By connecting the video segments following the specified movement in an area, we can view the streets better. The interface allows for easy exploration of a target area, and it can show virtual billboards of stores in the view. We conducted user studies to compare our system to the GSV in a scenario where users could freely move and explore to find a landmark. The experiment showed that our system had a better user experience than GSV.