Migration-Related Semantic Concepts for the Retrieval of Relevant Video Content
This work is significant for border agencies and society by enabling improved understanding of migration-related factors through automated analysis of media and social media videos, which is an incremental improvement.
The paper addresses the challenge of finding and analyzing migration-related multimedia content by proposing a novel approach that bridges domain understanding (migration-related semantic concepts) with video analysis. This method aims to improve the retrieval of relevant video content for border agencies and society.
Migration, and especially irregular migration, is a critical issue for border agencies and society in general. Migration-related situations and decisions are influenced by various factors, including the perceptions about migration routes and target countries. An improved understanding of such factors can be achieved by systematic automated analyses of media and social media channels, and the videos and images published in them. However, the multifaceted nature of migration and the variety of ways migration-related aspects are expressed in images and videos make the finding and automated analysis of migration-related multimedia content a challenging task. We propose a novel approach that effectively bridges the gap between a substantiated domain understanding - encapsulated into a set of Migration-related semantic concepts - and the expression of such concepts in a video, by introducing an advanced video analysis and retrieval method for this purpose.