Video Compression with CNN-based Post Processing

Pre- and Post-Processing for Video Compression

Video compression with parallel processing

Driven by the rapidly increasing demand for audio-visual applications, digital video compression technology has become a mature field, offering several available products based on both hardware and software implementations. Taking advantage of spatial, temporal, and statistical redundancies in video data, a video compression system aims to maximize the compression ratio while maintaining a high...

Adaptive Multiresolution Image and Video Compression and Pre/post-processing of Image and Video Streams

This report is divided into two sections. In the first section, the focus is on adaptive transform-based image compression and motion compensation at low bit rates. A new adalptive algorithm for image representation and coding is introduced. This algorithm is based on the concept of segmented orthogonal matching pursuits (SOMP), and adaptively selects the best representation from an overcomplet...

Image Compression by Cnn

Track-Based Video Compression

An alternative to conventional techniques for compressing video data of moving objects is described. The method, known as track-based compression (TBC), detects, associates, and tracks moving objects between frames, sending only a small chip or ID around the moving object once the track has been established. The compression ratio achievable depends on scene content, sensor geometry, the degree ...