Many industries, including healthcare, banking, the auto industry, education, and retail, have
already undergone significant changes because of artificial intelligence (AI). Business-to …

Today CBIR (content-based image retrieval) in contrast to conventional TBIR (text-based
image retrieval) has become a focusing research area in image processing due to …

We are exposed to various aesthetic experiences everyday. Important variables involved in
aesthetics are preference and harmony. Preference for color schemes can be predicted by …

Artificial Intelligence (AI) has already strongly transformed many industries such as
healthcare, finance, automotive, education and retail. In recent years, AI implementation in …

As image-based communication proliferates, the business value of image sentiment
analysis is rapidly growing, particularly in fields like advertising where consumers receive …

Harmony level prediction is receiving increasing attention nowadays. Color plays a crucial
role in affecting human aesthetic responses. In this paper, we explore color harmony using a …

The analysis of aesthetic assessment is a complex and subjective task that has attracted
researchers for a long time. The subjective nature of aesthetic preferences presents a …

More and more industrial applications are facing the problem of imprecise information
handling. Computing with Words (CW) is a mathematical model for approximate knowledge …

Researchers have been investigating image features to assess objects' aesthetic quality for
many years. However, the question of context-dependency of color aesthetics remains …

Interior design is all about creating spaces that look and feel good. However, the subjective
nature of aesthetic preferences presents a significant challenge in defining and quantifying …