Video Object Segmentation
With the widespread adoption of digital technologies, particularly mobile devices, the amount of available video data has skyrocketed. As a result, tools are urgently needed to facilitate automatic video analysis and comprehension. In this context, video object segmentation (VOS) is a crucial task, with potentially benefited areas ranging from video processing activities, like video compression and captioning, to a variety of applications, including visual tracking, video-based question answering, human pose estimation, surveillance and autonomous driving. The main goal of VOS is to classify all the pixels along a frame sequence into foreground and background regions.
Click here to see (or hide) publications