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

Image synthesis is a process of converting the input text, sketch, or other sources, ie, another
image or mask, into an image. It is an important problem in the computer vision field, where it …

We focus on a fundamental task of detecting meaningful line structures, aka, semantic line,
in natural scenes. Many previous methods regard this problem as a special case of object …

Emotions can be evoked in humans by images. Most previous works on image emotion
analysis mainly used the elements-of-art-based low-level visual features. However, these …

Co-saliency is used to discover the common saliency on the multiple images, which is a
relatively underexplored area. In this paper, we introduce a new cluster-based algorithm for …

When glancing at a magazine, or browsing the Internet, we are continuously exposed to
photographs. Despite this overflow of visual information, humans are extremely good at …

Deep convolutional neural networks (CNN) have recently been shown to generate
promising results for aesthetics assessment. However, the performance of these deep CNN …

When glancing at a magazine, or browsing the Internet, we are continuously being exposed
to photographs. Despite of this overflow of visual information, humans are extremely good at …

We introduce a new photographing guidance (PhotoHelper) for amateur photographers to
enhance their portrait photo quality using deep feature retrieval and fusion. In our model, we …

Aesthetic quality classification plays an important role in how people organize large photo
collections. In particular, color harmony is a key factor in the various aspects that determine …