Oct 4, 2024 · We present the first results of a research aimed at generating user-adapted image descriptions from annotated knowledge sources.
We present the first results of a research aimed at generating useradapted image descriptions from annotated knowledge sources. This system employs a User ...
Abstract. We present the first results of a research aimed at generating user- adapted image descriptions from annotated knowledge sources. This system.
Abstract. We present the first results of a research aimed at generating user- adapted image descriptions from annotated knowledge sources. This system.
User-Adapted Image Descriptions from Annotated Knowledge Sources. https://doi.org/10.1007/3-540-45411-x_29 · Full text. Journal: AI*IA 2001: Advances in ...
2001. TLDR. The first results of a research aimed at generating user-adapted image descriptions from annotated knowledge sources are presented, using a User ...
We developed a framework for the classification of image descriptions by users, based on various classification methods from the literature.
May 3, 2024 · We introduce ImageInWords (IIW), a carefully designed human-in-the-loop annotation framework for curating hyper-detailed image descriptions.
Missing: Adapted Knowledge
An early experiment indicated that some users had a strong preference for text descriptions of educational resources over tabular descriptions (Bental, Cawsey, ...
Guidelines for providing alternative text and descriptions for images and graphics.
Missing: Adapted Annotated