C:/Documents and Settings/mboschru/ICIP07/icip07-v4-delp.dvi

In this paper we integrate several spatial texture tools into a texturebased video coding scheme. We implemented texture feature techniques such as Gabor filters and the Gray Level Co-occurrence matrix in combination with two segmentation strategies, namely the split and merge algorithm and clustering techniques, in order to detect texture regions in video sequences. These textures are analyzed using temporal motion techniques and are labeled as skipped areas that are not encoded. After the decoding process, frame reconstruction is performed by inserting the skipped texture areas into the decoded frames. We are able to show an improvement over previous texture-based implementations in terms of video compression efficiency.