In recent years, large visual language models (LVLMs) have shown impressive performance
and promising generalization capability in multi-modal tasks, thus replacing humans as …

Image/video coding has been a remarkable research area for both academia and industry
for many years. Testing datasets, especially high-quality image/video datasets are desirable …

Learned B-frame video compression aims to adopt bi-directional motion estimation and
motion compensation (MEMC) coding for middle frame reconstruction. However, previous …

The emerging large models have achieved notable progress in the fields of natural
language processing and computer vision. However, large models for neural video coding …

The neural radiance fields (NeRF) have advanced the development of 3D volumetric video
technology, but the large data volumes they involve pose significant challenges for storage …

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

Traditional image and video compression methods are designed to maintain the quality of
human visual perception, which makes it necessary to reconstruct the image or video before …

Deep video compression has made remarkable process in recent years, with the majority of
advancements concentrated on P-frame coding. Although efforts to enhance B-frame coding …

The enhanced Deep Hierarchical Video Compression-DHVC 2.0-has been introduced. This
single-model neural video codec operates across a broad range of bitrates, delivering not …

Temporal prediction is one of the most important technologies for video compression.
Various prediction coding modes are designed in traditional video codecs. Traditional video …