11 accepted papers
The Moving Picture Experts Group (MPEG) is developing a new standard, i.e., Video-based Dynamic Mesh Coding (V-DMC), for dynamic meshes with time-varying topology. The time-varying topology and attributes challenge the V-DMC encoder in exploiting temporal correlations for redundancy minimization. Cu…
The rapid advancement of 3D sensing and rendering technologies has expanded the use of point clouds across various fields. To address the challenge of managing large point clouds, Point Cloud Compression (PCC) has gained significant research interest in recent years. The Moving Picture Experts Group…
3D dynamic meshes are extensively utilized to represent immersive 3D content. The need to transmit a vast quantity of these captured dynamic meshes over networks has created a significant demand for efficient dynamic mesh compression techniques. In response to this critical requirement, the Moving P…
Audio- and Video-Driven Talking Head Generation methods have attracted considerable research interest due to recent advances in Artificial Intelligence Generated Content (AIGC) technologies. In such approaches, a single image is artificially animated by leveraging audio and/or motion features extrac…
Intra Block Copy (IBC) and Intra Template Matching Prediction (IntraTMP) are two efficient algorithms to sufficiently exploit the correlation in the same picture. Block Vector (BV) is used to represent the displacement between the current block and its reference within the same picture. The BV infor…
Faster playback, as a common feature of video services nowadays, enables users to watch a video in less time, while maintaining a complete and coherent viewing experience. However, it is still unclear what kind of perceptual quality users will have at different video playback speeds. In this paper,…
Visual content is being increasingly transmitted and consumed by machines rather than humans to perform automated content analysis tasks. In this paper, we propose an image preprocessor that optimizes the input image for machine consumption prior to encoding by an off-the-shelf codec designed for hu…
In this paper, we propose a deformable convolution-based generative adversarial network (DCNGAN) for perceptual quality enhancement of compressed videos. DCNGAN is also adaptive to the quantization parameters (QPs). Compared with optical flows, deformable convolutions are more effective and efficien…
Matrix-based Intra Prediction (MIP) is an effective coding algorithm in H.266/Versatile Video Coding (VVC) which is originated by Neural Networks (NN). With the requirement of low complexity, MIP is conducted by a matrix-vector multiplication. To handle with the diversity of video content, 30 matric…
With the development of immersive media technologies, omnidirectional video services have been launched in many fields. Conducting subjective quality evaluation research becomes a crucial step to benchmark and ensure the quality of omnidirectional video services. As omnidirectional videos record sph…
Recent years have witnessed increasing advances in immersive media technologies. Omnidirectional videos, which record a 360-degree spherical visual scene, have gained popularity at an accelerated speed. However, streaming this visual media is extremely bandwidth demanding when compared to traditiona…