Perceptual video quality assessment plays a vital role in the field of video processing due to
the existence of quality degradations introduced in various stages of video signal …

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

Image rescaling is a commonly used bidirectional operation, which first downscales high-
resolution images to fit various display screens or to be storage-and bandwidth-friendly, and …

Efficiently modeling spatial–temporal information in videos is crucial for action recognition.
To achieve this goal, state-of-the-art methods typically employ the convolution operator and …

Video rescaling has recently drawn extensive attention for its practical applications such as
video compression. Compared to video super-resolution, which focuses on upscaling …

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 …

Standardized lossy video coding is at the core of almost all real-world video processing
pipelines. Rate control is used to enable standard codecs to adapt to different network …

Human action recognition (HAR) requires a clear line of sight for the video acquisition
system to properly collect the data. However, the data acquisition is hampered due to …

Resource-constrained hardware such as edge devices or cell phones often rely on cloud
servers to provide the required computational resources for inference in deep vision models …