This paper presents a novel end-to-end Learned Point Cloud Geometry Compression (aka,
Learned-PCGC) system, leveraging stacked Deep Neural Networks (DNN) based …

This article proposes an end-to-end learnt lossy image compression approach, which is built
on top of the deep nerual network (DNN)-based variational auto-encoder (VAE) structure …

This paper proposes a novel Non-Local Attention Optimized Deep Image Compression
(NLAIC) framework, which is built on top of the popular variational auto-encoder (VAE) …

This paper presents a novel end-to-end Learned Point Cloud Geometry Compression (aka,
Learned-PCGC) framework, to efficiently compress the point cloud geometry (PCG) using …

Underwater images (UWIs) require higher compression ratio than terrestrial images due to
the limited bandwidth of underwater wireless acoustic channel. In many studies such as …

Visual compression is an application of data compression to lower the storage and/or
transmission requirements for digital images and videos. Due to the rapid growth in visual …

Digital media is ubiquitous and produced in ever-growing quantities. This necessitates a
constant evolution of compression techniques, especially for video, in order to maintain …

In recent years, the application of systems for the storage and transmission of images has
faced severe challenges owing to the significant increase in the number of images being …

Deep image compressors are extensively practiced presently conducive to reduce the
complications of conventional image compression algorithms, namely JPEG, run-Iength …

The present application provides methods, devices and computer readable media for
intrinsic popularity evaluation and content compression based thereon. In an embodiment …