Privacy VITA: a new multilingual and multimodal annotated video corpus to evaluate anonymization systems
Year: 2026
Type: conference-paper
Abstract: In this paper, we introduce a new multimodal and multilingual public resource for evaluating anonymization models and solutions, comprising a collection of 516 annotated videos. Unlike previously available resources, the Privacy VITA corpus is both multilingual and multimodal, covering Video, Image, Text and Audio modalities. The development of this dataset is motivated by the growing need to anonymize private data in an increasingly multimedia-driven society. Furthermore, emerging regulations pose significant challenges for organizations and companies that manage sensitive information while ensuring legal compliance. This paper details the processes of collection, preprocessing, annotation, and curation of the corpus, as well as its overall scope. We hope this resource will contribute to the advancement of multimodal anonymization research.
Authors: Rico, Jorge, Contreras, Sofia, Manjavacas Arevalo, Enrique, Viana, Maria, Pérez-Ramón, Ruben, Izquierdo, Maria Luisa, Vilella, María José, Corton, Jaime, Rodriguez, Silvia, Espinza, Fernando, Ginard, Rafael, Pérez, César, Arias, Jesús, Cook, Richard, Regodón, Pablo, Moyano, Manuel, Heredia, Ricardo, De Santos, Lara, Plaza, Pierre, González, Jacqueline
Language: English
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W7217981677