Visual affective classification by combining visual and text features.
Affective analysis of images in social networks has drawn much attention, and the texts surrounding images are proven to provide valuable semantic meanings about image content, which can hardly be represented by low-level visual features. In this paper, we propose a novel approach for visual affecti...
Main Authors: | Ningning Liu, Kai Wang, Xin Jin, Boyang Gao, Emmanuel Dellandréa, Liming Chen |
---|---|
Format: | Article |
Language: | English |
Published: |
Public Library of Science (PLoS)
2017-01-01
|
Series: | PLoS ONE |
Online Access: | http://europepmc.org/articles/PMC5574549?pdf=render |
Similar Items
-
Classification of affect using novel voice and visual features
by: Kim, Jonathan Chongkang
Published: (2016) -
From Text Mining to Visual Classification
by: Olesen, Christian Gosvig, et al.
Published: (2018-11-01) -
Contributions to generic and affective visual concept recognition
by: Liu, Ningning
Published: (2013) -
Biomedical Imaging Modality Classification Using Combined Visual Features and Textual Terms
by: Xian-Hua Han, et al.
Published: (2011-01-01) -
Multimedia Styles Classification Using Visual Features
by: Chen, Ching-Han, et al.
Published: (2012)