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

Recently, there are significant advancements in learning-based image compression
methods surpassing traditional coding standards. Most of them prioritize achieving the best …

Image compression techniques typically focus on compressing rectangular images for
human consumption, however, resulting in transmitting redundant content for downstream …

In this paper, we propose a novel image coding framework with semantic-aware visual
decomposition towards extremely low bitrate compression. In particular, an input image is …

Image coding is one of the most fundamental techniques and is widely used in image/video
processing and multimedia communications. Current image coding methods are mainly …

Numerous applications today rely on artificial intelligence over images. Image AI is,
however, extremely expensive. In particular, the inference cost of image AI dominates the …

Underwater images (UWIs) require higher compression ratio than terrestrial images due to
the limited bandwidth of underwater wireless acoustic channel. In many studies such as …

Traditional media coding schemes typically encode image or video into a semantic-
unknown binary stream, which fails to directly support downstream intelligent tasks at the …

In matrix analysis, the scaling technique reduces the chances of an ill-conditioning of the
matrix. This article proposes a one-parameter scaling memoryless Davidon–Fletcher …

Recent advances in sensor technology and wide deployment of visual sensors lead to a
new application whereas compression of images are not mainly for pixel recovery for human …