잡음환경에서의 비디오게임의 원활한 인터렉티브 비디오 스트림 제공을 위한 칼만필터 기반의 모션벡터 복구 기법

• 영문명: Kalman Filter based Motion Vector Recovery for Interactive Video Gaming under Noisy Environments
• 발행기관: 한국컴퓨터게임학회
• 저자명: 김성환(Seong Whan Kim) 심재연(Jae Youn Shim)
• 간행물 정보: 『한국컴퓨터게임학회논문지』제26권 3호, 1~8쪽, 전체 8쪽
• 주제분류: 공학 > 컴퓨터학
• 파일형태: PDF
• 발행일자: 2013.09.30

영문 초록

As more computer game integrates with video and working under mobile environments, it requires seamless bandwidth limited video transport environment including integrated game video compression and real time video conference between game users. Video transmission system consists of encoder and decoder. In communication environment, when the encoder transmits the stream data to the decoder, the bit-stream is alternated or lost because of various channel noises. Altered and lost bit-stream data cause the loss of the video data intensity value or motion vector (MV) value. These lost data cause serious damage of the video quality. In this paper, we propose MV recovery method because MV is essential information to keep the better video quality. To recover the lost MV, we use adjacent block’s MV as input data of Kalman filter to estimate the optimized value for current block’s lost MV. In our experimentation with the standard video image: Mobile&Calendar and Susie, our proposed method achieved 0.497dB ~ 1.898dB improvements on video quality over no MV recovery and achieved average 0.03dB ~ 0.725dB improvements over SRMC scheme.

목차

1. Introduction

2. Related works

3. Kalman filter based MVD recovery

4. Experimental results

5. Conclusions

참고문헌

키워드

H.264 Kalman Filter SRMC (surrounding region matching criterion)