Interactive panoramic systems are currently on the rise. However, one of the major
challenges in such a system is the overhead involved in transferring a full-quality panorama …

When it comes to analysis and interpretation of the results of subjective QoE studies, one
often witnesses a lack of attention to the diversity in subjective user ratings. In extreme …

A high-definition video quality assessment (VQA) database that captures two typical video
distortion types in video services (namely,“compression” and “compression followed by …

Fine-grained image recognition is central to many multimedia tasks such as search,
retrieval, and captioning. Unfortunately, these tasks are still challenging since the …

Over the past few years, deep neural networks (DNNs) have exhibited great success in
predicting the saliency of images. However, there are few works that apply DNNs to predict …

Making technological advances in the field of human-machine interactions requires that the
capabilities and limitations of the human perceptual system be taken into account. The focus …

The main purpose of transfer learning is to resolve the problem of different data distribution,
generally, when the training samples of source domain are different from the training …

Deep neural networks (DNNs) have exhibited great success in image saliency prediction.
However, few works apply DNNs to predict the saliency of generic videos. In this paper, we …

Prediction of visual saliency in images and video is needed for video understanding, search
and retrieval, coding, watermarking and other applications. The majority of prediction …

Error concealment in packet-loss-corrupted streaming video is inherently an under-
determined problem, as there are insufficient number of well-defined criteria to recover the …