Paper
Real Time H.264 Video Error Concealment Based on Motion Vector Prediction via Kalman Filter
- Authors:
- Branislav Hru?ovsky; Walid El-Shafai
- Abstract
- Multimedia transmission over wireless channels is still a major problem due to limited bandwidth and the presence of channel errors. Low transmission rate in mobile networks requires a reduction of used video resolution as well as the use of highly efficient video compression technique. This gives rise to data loss and visual artifacts, and hence a marked decrease in video quality. Since the transmission of video content is over real time channel, it is not possible to re-send any erroneous or lost information. It is therefore necessary to conceal these errors at the decoder side using appropriate methods, such as Error Concealment (EC) methods. EC techniques have the advantage of improving the received video quality without modifications in the transmission rate or in the encoder hardware or software. In this paper, we propose an EC method which depends on motion vector filtration using a Kalman Filter (KF). Our simulation results obtained demonstrate that the proposed EC-KF algorithm can significantly improve the objective and subjective video quality compared with the case of not applying any EC algorithms and the case of applying normal EC algorithm.
- Keywords
- Real Time Video Communication; Wireless Channel; Error Concealment; Motion Vector; Kalman Filter
- StartPage
- 11
- EndPage
- 18
- Doi
- 10.18005/JCEN0101002