1 research outputs found
Survey on Visual Sentiment Analysis
Visual Sentiment Analysis aims to understand how images affect people, in
terms of evoked emotions. Although this field is rather new, a broad range of
techniques have been developed for various data sources and problems, resulting
in a large body of research. This paper reviews pertinent publications and
tries to present an exhaustive overview of the field. After a description of
the task and the related applications, the subject is tackled under different
main headings. The paper also describes principles of design of general Visual
Sentiment Analysis systems from three main points of view: emotional models,
dataset definition, feature design. A formalization of the problem is
discussed, considering different levels of granularity, as well as the
components that can affect the sentiment toward an image in different ways. To
this aim, this paper considers a structured formalization of the problem which
is usually used for the analysis of text, and discusses it's suitability in the
context of Visual Sentiment Analysis. The paper also includes a description of
new challenges, the evaluation from the viewpoint of progress toward more
sophisticated systems and related practical applications, as well as a summary
of the insights resulting from this study.Comment: This paper is a postprint of a paper accepted by IET Image Processing
and is subject to Institution of Engineering and Technology Copyright. When
the final version is published, the copy of record will be available at the
IET Digital Librar