Smoothing algorithms for clip-and-paste model-based video coding

Shu Sheng Hao, Ming Feng Lee, Jar Ferr Yang

Research output: Contribution to journalArticlepeer-review

3 Citations (Scopus)

Abstract

Model-based video coding has been adopted as a core experiment in 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 deformations of zoom, tilt, and rotation object images. 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 perceptions.

Original languageEnglish
Pages (from-to)427-435
Number of pages9
JournalIEEE Transactions on Consumer Electronics
Volume45
Issue number2
DOIs
Publication statusPublished - 1999

All Science Journal Classification (ASJC) codes

  • Media Technology
  • Electrical and Electronic Engineering

Fingerprint Dive into the research topics of 'Smoothing algorithms for clip-and-paste model-based video coding'. Together they form a unique fingerprint.

Cite this