This paper reviews the current state of the art in artificial intelligence (AI) technologies and
applications in the context of the creative industries. A brief background of AI, and …

The ubiquitous camera networks in the city brain system grow at a rapid pace, creating
massive amounts of images and videos at a range of spatial-temporal scales and thereby …

Recent works on learned image compression perform encoding and decoding processes in
a full-resolution manner, resulting in two problems when deployed for practical applications …

The increase of video content and video resolution drive more exploration of video
compression techniques recently. Meanwhile, learning-based video compression is …

The paper proposes a novel frame-wise filtering method based on Convolutional Neural
Networks (CNNs) for enhancing the quality of HEVC decoded videos. A novel deep neural …

Exploiting spatial redundancy in images is responsible for a large gain in the performance of
image and video compression. The main tool to achieve this is called intra-frame prediction …

Deep image compression efficiency has been improved in the past years. However, to fully
exploit context information for compressing image objects of different scales and shapes …

Among a series of video coding standards jointly developed by ITU-T, VCEG, and MPEG,
high-efficiency video coding (HEVC) is one of the most widely used video coding standards …

This paper shows, using a technical perspective, the evolution of mobile technologies, from
the second generation (2G) to the fifth generation (5G). It is analyzed from the following …

Screen content data, such as computer-generated photographs, desktop sharing, remote
education, video game streaming and screenshot, is one of the most popular visual …