Predictive Image and Video Coding
- Members: John Robinson, Matt Day
- Website: http://www.intuac.com/userport/john/coding.html
- Start Date: March 2003
We are one of the few groups worldwide researching "pure" predictive coding of images and video (that is, where predictions are made pixel-by-pixel without an initial block or subband transform). Predictive coding adapts well to image type and compression requirements, which allowed us to develop first Binary Tree Predictive Coding (BTPC) then Adaptive Prediction Trees (APT) [1] as high-performance general-purpose still-image compression schemes. We developed video versions of these [2][3].
Click here for more details on the APT coding method.
In object-based coding our work [4,5] has been in motion segmentation and region description. The picture below shows the segmentation derived by global-to-local motion estimation with the coding-by-asymmetric-subdivision structure overlaid.
[1] J A Robinson, Adaptive Prediction Trees for Image Compression, IEEE Transactions on Image Processing, 15(8):2131-2145, July, 2006.
[2] D J Parnham, J A Robinson, Compression of Computer Screen Video Second International Conference on Visual Information Engineering (VIE), Glasgow, 4-6 April 2005, pp 353-358.
[3] M G Day, J A Robinson, Residue-Free Video Coding with Pixelwise Adaptive Spatio-Temporal Prediction, IET Image Processing, 26(3):131-138, 1751-9659, June, 2008.
[4] A Shamim, J A Robinson. Asymmetric binary tree coding for contour images. Image and Vision Computing, Vol. 21, No. 6, pp 797-807, September, 2003. PDF
[5] M A Shamim, J A Robinson. Object-Based Video Coding by Global-to-Local Motion Segmentation. IEEE Transactions on Circuits and Systems for Video Technology, Vol. 12, No. 12, pp 1106-1116, December, 2002. PDF