Encoding and Decoding Narratives: Datafication and Alternative Access Models for Audiovisual Archives
Abstract
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
Cite
@article{arxiv.2310.06309,
title = {Encoding and Decoding Narratives: Datafication and Alternative Access Models for Audiovisual Archives},
author = {Yuchen Yang},
journal= {arXiv preprint arXiv:2310.06309},
year = {2023}
}
Comments
arXiv admin note: substantial text overlap with arXiv:2310.05825