Title :
Smoothing algorithms for clip-and-paste model-based video coding
Author :
Hao, Shu-Sheng ; Lee, Ming-Feng ; Yang, Jar-Ferr
Author_Institution :
Dept. of Electr. Eng., Nat. Cheng Kung Univ., Tainan, Taiwan
fDate :
5/1/1999 12:00:00 AM
Abstract :
Model-based video coding has been adopted as a core experiment in the ISO MPEG-4 standard. The clip-and-paste technique for putting video objects in line is an important tool to reduce the transmission rate. To assist the clip-and-pasting method fitting into the 2-D model, we propose several smoothing algorithms for improving the quality of the reconstructed images. In this paper, the proposed smoothing algorithms can adjust the deformation of the zoom, tilt, and rotation of the object images. A luminance smoothing algorithm is also applied to compensate the light source variations. Simulation results show that the smoothing methods help to improve clip-and-paste images to achieve a satisfactory quality in visual perception
Keywords :
image motion analysis; image reconstruction; smoothing methods; video coding; 2-D model; ISO MPEG-4 standard; clip-and-paste model-based video coding; light source variations; luminance smoothing; object images; reconstructed images; rotation; smoothing algorithms; tilt; transmission rate; video objects; visual perception quality; zoom; Bit rate; Cameras; Eyes; Head; Image coding; Image reconstruction; Light sources; Mouth; Smoothing methods; Video coding;
Journal_Title :
Consumer Electronics, IEEE Transactions on