With the proliferation of sensor devices, the extensive utilization of three-dimensional data in
multimedia continues to grow. Point clouds are widely adopted within this domain because …

Point cloud data is pivotal in applications like autonomous driving, virtual reality, and
robotics. However, its substantial volume poses significant challenges in storage and …

Video surveillance systems that involve embedded visual sensor nodes have significant
constraints due to their limited energy sources. Reducing the power consumption of the in …

Image compression for machine and human vision (ICMH) has gained increasing attention
in recent years. Existing ICMH methods are limited by high training and storage overheads …

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

The future sixth-generation (6G) of wireless networks is expected to surpass its
predecessors by offering ubiquitous coverage through integrated air-ground deployments in …

Learned video compression has developed rapidly and achieved impressive progress in
recent years. Despite efficient compression performance, existing signal fidelity oriented or …

The rapid rise of technological advancements led to the increased consumption of electronic
gadgets. This change expedited the requirement for sustainable technologies to meet the …

Feature compression has attracted much attention in recent years due to its promising
applications in scenarios where features are transmitted and analyzed by machine vision …

In the Internet of Things (IoT) communications, visual data are frequently processed among
intelligent devices using artificial intelligence algorithms, replacing humans for analysis and …