Multi‐camera video synopsis of a geographic scene based on optimal virtual viewpoint

Abstract

Video synopsis offers the possibility to compress long‐term video objects into a short‐term playback. This is beneficial for the quick retrieval and expression of numerous video objects in a virtual geographic environment. However, existing methods do not consider the spatiotemporal relationships among video objects in different cameras. To overcome this problem, we propose optimal virtual viewpoint‐based multi‐camera video synopsis, which involves: locating the camera position and the field of view; constructing a video image observability model to enumerate the observable camera combinations; constructing an evaluation model to optimally select the observable combinations and obtain the virtual viewpoint group; and setting the parameters of the video object display to obtain a multi‐camera video synopsis of a geographic scene. Experimental results showed that our method achieved the rapid display of global motion across cameras with numerous video objects, and always outperformed separate camera‐based video synopsis expression.

Crowd sensing and spatiotemporal analysis in urban open space using multi‐viewpoint geotagged videos

“…Thus, geotagged video is an important source of geographic information that has received attention in many fields, such as GIS, computer vision and data mining (Luo et al, 2011). Several studies have been performed in this area over the last several years, including on geotagged video data collection and processing (Burr et al, 2018; Mills et al, 2010); data modeling (Han et al, 2016; Lewis et al, 2011); video retrieval based on spatial semantics (Kim et al, 2010; Lu & Shahabi, 2017; Ma et al, 2014; Wu et al, 2018); video mapping, analysis, and mining (Jamonnak et al, 2021; Rumora et al, 2021; Wang et al, 2022; Zhang et al, 2021); and video synopsis (Jamonnak et al, 2020; Xie et al, 2022; Zhang et al, 2019). The integration and fusion of surveillance video and GIS can significantly improve the management efficiency of surveillance video and enhance video surveillance systems.…”