Satisfying the requirements of devices and users of online video streaming services is a
challenging task. It requires not only managing the network quality of service but also to …

The widespread use of mobile and high definition video devices is changing Internet traffic,
with a significant increase in multimedia content, especially video on demand (VoD) and …

Blind video quality assessment (BVQA) algorithms are traditionally designed with a two-
stage approach-a feature extraction stage that computes typically hand-crafted spatial …

Blind video quality assessment (BVQA) is of great importance for video-related applications,
yet still challenging even in this deep learning era. The difficulty lies in the shortage of large …

Generating and maintaining REST API documentation with usage examples can be a time
consuming and expensive process for evolving APIs. Most REST API documentation tools …

A discrete cosine transform (DCT)-based no-reference video quality prediction model is
proposed that measures artifacts and analyzes the statistics of compressed natural videos …

With the rapid growth of digital video through the Internet, a reliable objective video-quality
assessment (VQA) algorithm is in great demand for video management. Motion information …

Distortions from spatial and temporal domains have been identified as the dominant factors
that govern the visual quality. Though both have been studied independently in deep …

Object quality assessment for compressed video is critical to various video compression
systems that are essential in the video delivery and storage. Although mean squared error …

Purpose The purpose of this study is to examine the effect of craftsmanship content and
social distance embedded in the craftsmanship content on luxury brand experiences …