"Visualization"

A Generative Compression Framework For Low Bandwidth Video Conference

Video conferences introduce a new scenario for video transmission, which focuses on keeping the fidelity of faces even in the low bandwidth network environment. In this work, we propose VSBNet, one of the frameworks to utilize face landmarks in video …

A Hybrid Model for Natural Face De-Identiation with Adjustable Privacy

As more and more personal photos are shared and tagged in social media, security and privacy protection are becoming an unprecedentedly focus of attention. Avoiding privacy risks such as unintended verification, becomes increasingly challenging. To …

A VMAF Directed Perceptual Rate Distortion Optimization for Video Coding

Video Multimethod Assessment Fusion (VMAF), as a state-of-the-art learning-based objective assessment metric, has been demonstrated to achieve a stronger correlation with human visual system than others. However, combining multiple metrics by Support …

TSGAN: A Two-Stream Generative Adversarial Network for Bit-Depth Expansion

The rapid development of display devices and the continuous improvement of visual quality requirements put urgent demands on high bit-depth (HBD) image, but most legacy data are stored and transmitted at low bit-depth (LBD). Bit-depth expansion (BDE) …

Learning-Based Quality Enhancement For Scalable Coded Video Over Packet Lossy Networks

The layered feature of scalable video coding (SVC) offers a sufficient adaptation to unreliable transmission. When network condition drops sharply, enhancement layers will be abandoned, and only base layers are delivered. However, this will cause …

Weight-based bit allocation scheme for VR videos in HEVC

Since VR videos shown on the head-mounted display (HMD) is omnidirectional, the average distortion of VR videos in all directions shall be calculated in spherical domain. Several metrics have been proposed to calculate the coding loss of VR videos in …

Video stabilization with L1–L2 optimization

Digital videos often suffer from undesirable camera jitters because of unstable camera motions. In this paper we present a novel video stabilization algorithm by mixed L1-L2 optimization, aiming at removing unwanted camera movements as well as …