Many XR productions require reconstructions of landmarks such as buildings or public
spaces. Shooting content on demand is often not feasible, thus tapping into audiovisual …

Many methods have been developed to help people find the video content they want
efficiently. However, there are still some unsolved problems in this area. For example, given …

In these days, computer vision seeks to understand object structures that reflect the physical
states and representation of objects. And images and videos are an endless source of data …

Many methods have been developed to help people find the video contents they want
efficiently. However, there are still some unsolved problems in this area. For example, given …

In this work we propose a method that geolocates videos within a delimited widespread area
based solely on the frames visual content. Our proposed method tackles video-geolocation …

Identifying the temporal segments in a video that contain content relevant to a category or
task is a difficult but interesting problem. This has applications in fine-grained video indexing …

While inferring the geo-locations of web images has been widely studied, there is limited
work engaging in geo-location inference of web videos due to inadequate labeled samples …

The existing work in cross-view geo-localization is based on images where a ground
panorama is matched to an aerial image. In this work, we focus on ground videos instead of …

This paper introduces the problem of Fine-grained Incident Video Retrieval (FIVR). Given a
query video, the objective is to retrieve all associated videos, considering several types of …

This paper considers the mining and localization of near-duplicate segments at arbitrary
positions of partial near-duplicate videos in a corpus. Temporal network is proposed to …