An object-based full frame concealment strategy for H.264/AVC using true motion estimation

Shen-Chuan Tai, Chien Shiang Hong, Cheng An Fu

研究成果: Conference contribution

2 引文 斯高帕斯(Scopus)

摘要

In packet-based video transmissions, packets loss may result in the loss of the whole video frame due to channel errors. A lot of error concealment algorithms have been proposed to overcome the channel errors, but most of them only can deal with the loss of macroblocks but whole frame. In this thesis, we propose an efficient full frame recovery algorithm which is based on object-based module for a new coding standard H.264/AVC. First, our proposed method estimates the true motion of each block in the reference frame. Besides, the reference frame will divided into several objects according to the estimated motion vectors. Furthermore, each object will be extrapolated to its corresponding place in the missing frame. Finally, the experimental results show that our algorithm could provide a more efficient solution to recover a missing whole frame than previous methods. In addition, based on the object-based module, our proposed method provides the better visual quality than other comparative algorithms.

原文English
主出版物標題Proceedings - 4th Pacific-Rim Symposium on Image and Video Technology, PSIVT 2010
頁面214-219
頁數6
DOIs
出版狀態Published - 2010
事件4th Pacific-Rim Symposium on Image and Video Technology, PSIVT 2010 - Singapore, Singapore
持續時間: 2010 十一月 142010 十一月 17

Other

Other4th Pacific-Rim Symposium on Image and Video Technology, PSIVT 2010
國家/地區Singapore
城市Singapore
期間10-11-1410-11-17

All Science Journal Classification (ASJC) codes

  • 電腦繪圖與電腦輔助設計
  • 電腦視覺和模式識別
  • 人機介面
  • 軟體

指紋

深入研究「An object-based full frame concealment strategy for H.264/AVC using true motion estimation」主題。共同形成了獨特的指紋。

引用此