Highly-parallelized motion estimation for Scalable Video Coding

In this paper, we discuss the design of a highly-parallel motion estimator for real-time Scalable Video Coding (SVC). In an SVC, motion is commonly estimated bidirectionally and over various temporal distances. Current motion estimators are optimized for frame-byframe estimation, and such estimators are designed without serious implementation constraints. To support efficient embedded applications, we propose a Highly Parallel Predictive Search (HPPS) motion estimator while preserving an accurate estimation performance. The motion estimation algorithm is optimized for processing on parallel cores and utilizes a novel recursive search strategy. This strategy is based on hierarchically increasing the temporal distance in the estimation algorithm while using the state of the previous hierarchical layer as an input. Due to the absence of local recursions in the algorithm, the proposed motion estimator has a constant computational load, regardless of video activity or temporal distance. We...

• Type: Journal
• Year: 2009
• Where: ICIP
• Authors: Marijn J. H. Loomans, Cornelis J. Koeleman, Peter H. N. de With
• Keywords: ICIP 2009, Image Processing, Motion Estimators, Proposed Motion Estimator, Temporal Distance