Adaptive Block Matching Research Articles

An Adaptive Motion Estimation Based on the Temporal Subband Analysis

Motion Estimation is one of the key components in video coding like MPEG. In this paper, a new motion estimation scheme for a MPEG-like video coder is suggested. The proposed "adaptive motion estimation" scheme consists of five function blocks: temporal subband analysis (TSBA), extraction of temporal activity distribution (TAD), scene change detection (SCD), picture type replacement (PTR), and temporally adapted block matching algorithm (TABMA). All five function blocks are developed primarily based on the temporal subband analysis. Our new block matching algorithm TABMA is capable of controlling the size of block matching area searched. According to the significance of TAD, TABMA adjusts its nonuniform motion vector searching area. TABMA guarantees accurate and cost-effective performance. Also, newly proposed SCD and PTR together can prevent poor motion prediction for a video sequence containing abruptly changed scenes in it. As a result of that, SCD and PTR contribute to the reduction of overall computational loads, yet maintaining excellent coding quality.

Two block-based motion compensation methods for video coding

Two new motion compensation methods for video coding are presented. The first method named motion-partitioned adaptive block matching algorithm (MPA-BMA) uses motion boundary information as the sub-dividing or merging criteria to form variable-size matching blocks. The second method named predictive block matching algorithm (PBMA) eliminates the need of sending motion data by predicting motion vectors from previously transmitted pixels. The performance evaluation of both algorithms are given in the experiments.

Adaptive block matching motion estimation algorithm for video coding

A simple adaptive block matching algorithm is proposed for motion estimation. The proposed method exploits the motion correlation of spatially neighbouring blocks to determine the search origin and adjusts the search range according to different motion content of the block. Simulation results show that the proposed algorithm achieves nearly the same MSE performance as the full-search method but requires ~80% less computation.