Video Compression currently is dominated by engineering and fine-tuned heuristic methods. In this paper, we propose to instead apply the well-developed machinery of machine learni...
In this paper we propose a method that simultaneously performs image denoising and compression by using multiscale tensor voting. Given a real color image, the pixels are first co...
An analysis is presented that extends existing Rayleigh-Ritz theory to the special case of highly eccentric distributions. Specifically, a bound on the angle between the first Rit...
H.264 is currently the best way to compress media to achieve high quality at low bandwidth. Since its inception, technologies such as video-on-demand are increasingly realizable. ...
Hong and Ladner [6] used context-based group testing to implement bitplane coding for image compression. We extend this technique to video coding, by replacing the quantization an...
Gidon Shavit, Michael F. Ringenburg, Jeff West, Ri...