Migration-Related Semantic Concepts for the Retrieval of Relevant Video Content

TL;DR

This paper introduces a novel video analysis and retrieval method that leverages migration-related semantic concepts to improve the automated identification and understanding of migration-related multimedia content, aiding societal and border agency insights.

Contribution

The paper presents a new approach that connects migration domain knowledge with video content analysis through semantic concepts, enhancing retrieval accuracy.

Findings

Effective bridging of domain knowledge and video analysis.

Improved retrieval of migration-related videos.

Enhanced understanding of migration in multimedia content.

Abstract

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.