Salient object detection models mimic the behavior of human beings and capture the most
salient region/object from the images or scenes, this field contains many important …

The free-energy principle in recent studies of brain theory and neuroscience models the
perception and understanding of the outside scene as an active inference process, in which …

Computer analysis of visual art, especially paintings, is an interesting cross-disciplinary
research domain. Most of the research in the analysis of paintings involve medium to small …

Previous saliency detection algorithms used to focus on low level features directly or utilize a
bunch of sample images and manually labeled ground truth to train a high level learning …

In visual saliency estimation, one of the most challenging tasks is to distinguish targets and
distractors that share certain visual attributes. With the observation that such targets and …

While salient object detection has been studied intensively by the computer vision and
pattern recognition community, there are still great challenges in practical applications …

Despite recent progress, computational visual aesthetic is still challenging. Image cropping,
which refers to the removal of unwanted scene areas, is an important step to improve the …

Compression technology for representing image is on demand for efficiently processing
images in the Big Data era. Image hashing is an effective compression technology for …

Visual saliency is a useful cue to locate the conspicuous image content. To estimate
saliency, many approaches have been proposed to detect the unique or rare visual stimuli …

Image hashing is a useful technology of many multimedia systems, such as image retrieval,
image copy detection, multimedia forensics and image authentication. Most of the existing …