Title
A multi-modal dataset for analyzing the imageability of concepts across modalities
Abstract
Recently, multi-modal applications bring a need for a human-like understanding of the perception differences across modalities. For example, while something might have a clear image in a visual context, it might be perceived as too technical in a textual context. Such differences related to a semantic gap make a transfer between modalities or a combination of modalities in multi-modal processing a...
Year
DOI
Venue
2021
10.1109/MIPR51284.2021.00039
2021 IEEE 4th International Conference on Multimedia Information Processing and Retrieval (MIPR)
DocType
ISBN
Citations 
Conference
978-1-6654-1865-2
0
PageRank 
References 
Authors
0.34
0
4
Name
Order
Citations
PageRank
marc a kastner113.39
Chihaya Matsuhira200.34
Ichiro Ide300.34
Shin’ichi Satoh491.32