Most video compression methods aim to improve the decoded video visual quality, instead
of particularly guaranteeing the semantic-completeness, which deteriorates downstream …

Signed graphs have been widely applied to model real-world complex networks with
positive and negative links, and signed graph embedding has become a popular topic in the …

Unsupervised video semantic compression (UVSC), ie, compressing videos to better
support various analysis tasks, has recently garnered attention. However, the semantic …

Video compression is indispensable to most video analysis systems. Despite saving the
transportation bandwidth, it also deteriorates downstream video understanding tasks …

Most video compression methods focus on human visual perception, neglecting semantic
preservation. This leads to severe semantic loss during the compression, hampering …

Artificial intelligence has made its mark on the media industry in Romania, and television is
one of the sectors most affected by its development. This paper analyzes through a …

Brain region-of-interest (ROI) segmentation with magnetic resonance (MR) images is a basic
prerequisite step for brain analysis. The main problem with using deep learning for brain …

Video rescaling helps to fit different display devices. In video rescaling systems, videos are
downsampled for easier storage, transmission and preview. The downsampled videos can …

Digital image watermarking is a prevalent method for image copyright protection. As
watermark embedding techniques evolve, research in copyright protection has increasingly …

Autism, also known as Autism Spectrum Disorder (or ASD), is a neurological disorder. Its
main symptoms include difficulty in verbal/non-verbal communication and rigid/repetitive …