In this paper, a content-based motion estimation algorithm that extends the utilization of spatial correlation into the reference frame is proposed. This algorithm incorporates Adaptive Search Window (ASW) and Three Step Search (TSS), and realizes dynamic search strategy optimization according to local motion complexity of video contents with a new motion type prediction technique that examines local motion vector distribution of two consecutive frames. Simulation results show that the proposed method can constantly reduce the dynamic computational cost to as low as 3%∼4% of that of Full Search (FS), with the visual quality in terms of PSNR remaining very close to that of FS for various test video sequences.
|Midwest Symposium on Circuits and Systems
|Published - 2004 Dec 1
|The 2004 47th Midwest Symposium on Circuits and Systems - Conference Proceedings - Hiroshima, Japan
Duration: 2004 Jul 25 → 2004 Jul 28
ASJC Scopus subject areas
- Electronic, Optical and Magnetic Materials
- Electrical and Electronic Engineering