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
- Editors:
- Beatrice Alex, Stefania Degaetano-Ortlieb, Anna Kazantseva, Nils Reiter, Stan Szpakowicz
- Venue:
- LaTeCH
- SIG:
- SIGHUM
- Publisher:
- Association for Computational Linguistics
- Note:
- Pages:
- 91–97
- Language:
- URL:
- https://aclanthology.org/W19-2512
- DOI:
- 10.18653/v1/W19-2512
- 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., LaTeCH 2019)
- PDF:
- https://preview.aclanthology.org/bionlp-24-ingestion/W19-2512.pdf