2023/10/10 by Yuchen Yang, Yang, Yuchen
Computer Science · #FOS: Computer and information sciences #Human-Computer Interaction (cs.HC) #Multimedia (cs.MM) #Multimodal Machine Learning Applications #Natural Language Processing Techniques #Video Analysis and Summarization
paper · pdf · doi:10.48550/arxiv.2310.06309
openalex publication_date 2023/10/10 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28
Situated in the intersection of audiovisual archives, computational methods, and immersive interactions, this work probes the increasingly important accessibility issues from a two-fold approach. Firstly, the work proposes an ontological data model to handle complex descriptors (metadata, feature vectors, etc.) with regard to user interactions. Secondly, this work examines text-to-video retrieval from an implementation perspective by proposing a classifier-enhanced workflow to deal with complex and hybrid queries and a training data augmentation workflow to improve performance. This work serves as the foundation for experimenting with novel public-facing access models to large audiovisual archives