Estimating the Semantic Density of Visual Media
Image descriptions provide precious information for a myriad of visual media management tasks ranging from image classification to image search. The value of such curated collections comes from their diverse content and their accompanying extensive annotations. Such annotations are typically supplied by communities, where users (often volunteers) curate labels and/or descriptions of images. Supporting users in their quest to increase (overall) description completeness where possible is, therefore, of utmost importance.
Authors
- Cristina Sarasua (ORCID: https://orcid.org/0000-0002-2076-9584)
- Luca Rossetto (ORCID: https://orcid.org/0000-0002-5389-9465)
- Abraham Bernstein (ORCID: https://orcid.org/0000-0002-0128-4602)
Institutions
- University of Zurich (CH)
Publication Details
- Published
- 2024-10-26
- DOI
- https://doi.org/10.1145/3664647.3681594
- Citations
- 1
- Primary Topic
- Multimodal Machine Learning Applications
- Type
- article
- Field-Weighted Citation Impact
- 0.25