In rate-distortion optimization, the encoder settings are determined by maximizing a
reconstruction quality measure subject to a constraint on the bitrate. One of the main …

Objective quality estimation of media content plays a vital role in a wide range of
applications. Though numerous metrics exist for 2D images and videos, similar metrics are …

Point cloud based 3D visual representation is becoming popular due to its ability to exhibit
the real world in a more comprehensive and immersive way. However, under a limited …

Due to the increased popularity of augmented and virtual reality experiences, the interest in
capturing high-resolution real-world point clouds has never been higher. Loss of details and …

In this article, a survey of the point cloud compression (PCC) methods by organizing them
with respect to the data structure, coding representation space, and prediction strategies is …

In video-based dynamic point cloud compression (V-PCC), 3D point clouds are projected
into patches, and then the patches are padded into 2D images suitable for the video …

The video-based point cloud compression (V-PCC) is the state-of-the-art dynamic point
cloud compression method developed by the Moving Pictures Experts Group (MPEG). It …

In video-based 3D point cloud compression, the quality of the reconstructed 3D point cloud
depends on both the geometry, and color distortions. Finding an optimal allocation of the …

Geometry-based point cloud compression (G-PCC) can achieve remarkable compression
efficiency for point clouds. However, it still leads to serious attribute compression artifacts …

Efficient point cloud compression is essential for applications like virtual and mixed reality,
autonomous driving, and cultural heritage. This paper proposes a deep learning-based inter …