Computational Linguistics Applications for Multimedia Services

Kyeongmin Rim, Kelley Lynch, James Pustejovsky


Abstract
We present Computational Linguistics Applications for Multimedia Services (CLAMS), a platform that provides access to computational content analysis tools for archival multimedia material that appear in different media, such as text, audio, image, and video. The primary goal of CLAMS is: (1) to develop an interchange format between multimodal metadata generation tools to ensure interoperability between tools; (2) to provide users with a portable, user-friendly workflow engine to chain selected tools to extract meaningful analyses; and (3) to create a public software development kit (SDK) for developers that eases deployment of analysis tools within the CLAMS platform. CLAMS is designed to help archives and libraries enrich the metadata associated with their mass-digitized multimedia collections, that would otherwise be largely unsearchable.
Anthology ID:
W19-2512
Volume:
Proceedings of the 3rd Joint SIGHUM Workshop on Computational Linguistics for Cultural Heritage, Social Sciences, Humanities and Literature
Month:
June
Year:
2019
Address:
Minneapolis, USA
Venues:
LaTeCH | NAACL | WS
SIG:
SIGHUM
Publisher:
Association for Computational Linguistics
Note:
Pages:
91–97
Language:
URL:
https://aclanthology.org/W19-2512
DOI:
10.18653/v1/W19-2512
Bibkey:
Cite (ACL):
Kyeongmin Rim, Kelley Lynch, and James Pustejovsky. 2019. Computational Linguistics Applications for Multimedia Services. In Proceedings of the 3rd Joint SIGHUM Workshop on Computational Linguistics for Cultural Heritage, Social Sciences, Humanities and Literature, pages 91–97, Minneapolis, USA. Association for Computational Linguistics.
Cite (Informal):
Computational Linguistics Applications for Multimedia Services (Rim et al., 2019)
Copy Citation:
PDF:
https://aclanthology.org/W19-2512.pdf