This article reviews recent computer vision techniques used in the assessment of image
aesthetic quality. Image aesthetic assessment aims at computationally distinguishing high …

Aesthetics has been the subject of long-standing debates by philosophers and
psychologists alike. In psychology, it is generally agreed that aesthetic experience results …

With the emergence of large digitized fine art collections and the successful performance of
deep learning techniques, new research prospects unfold in the intersection of artificial …

Blind image quality assessment (BIQA) aims at precisely estimating human perceived image
quality with no access to a reference. Recently, several attempts have been made to …

Aesthetic evaluation of images has attracted a lot of research interests recently. Previous
work focused on extracting handcrafted image features or generic image descriptors to build …

Quality assessment, which evaluates the visual quality level of multimedia experiences, has
garnered significant attention from researchers and has evolved substantially through …

Image aesthetics assessment has emerged as a hot topic in recent years due to its potential
in numerous high-level vision applications. In this paper, distinguished from existing studies …

Indian classical dance (ICD) classification is an interesting subject because of its complex
body posture. It provides a stage to experiment with various computer vision and deep …

Extracting and recognizing complex human movements from unconstrained online/offline
video sequence is a challenging task in computer vision. This paper proposes the …

Image aesthetics assessment has been challenging due to its subjective nature. Inspired by
the scientific advances in the human visual perception and neuroaesthetics, we design …