Title :
A motion field segmentation to improve moving edges reconstruction in video coding
Author :
Moccagatta, Iole ; Moscheni, Fabrice ; Schütz, Markus ; Dufaux, Frédéric
Author_Institution :
Signal Process. Lab., Swiss Federal Inst. of Technol., Lausanne, Switzerland
Abstract :
Block matching motion estimation techniques have shown their efficiency to reduce the temporal redundancy for video coding. However, they tend to introduce annoying block artifacts in the displaced frame difference due to their block-based model. In this paper, we propose a motion field refinement technique in order to overcome these artifacts. The method relies on vector quantization. The patterns to segment the motion field are derived by the LBG algorithm, the training being performed on segmented patterns obtained from natural images. Simulation results show a significant improvement due to the proposed method, in particular moving edges are much better motion compensated and the visual quality is greatly enhanced
Keywords :
image matching; image reconstruction; image segmentation; motion compensation; motion estimation; vector quantisation; video coding; LBG algorithm; block artifacts; block matching motion estimation; displaced frame difference; motion compensation; motion field segmentation; moving edges reconstruction; simulation results; temporal redundancy; vector quantization; video coding; visual quality; Discrete cosine transforms; Frequency; Image coding; Image reconstruction; Image segmentation; Laboratories; Motion estimation; Quantization; Video coding; Video signal processing;
Conference_Titel :
Image Processing, 1994. Proceedings. ICIP-94., IEEE International Conference
Conference_Location :
Austin, TX
Print_ISBN :
0-8186-6952-7
DOI :
10.1109/ICIP.1994.413788
