Fully Adaptive Performance Scalable Block-based Motion Estimation

2005 5th International Conference on Information Communications & Signal Processing Pub Date : 2005-12-06 DOI:10.1109/ICICS.2005.1689233

G. Sorwar, M. Murshed, L. Dooley

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引用次数: 2

Abstract

Trading-off computational complexity and quality is an important performance constraint for real time application of motion estimation algorithm. To address this issue, an adaptive-centre diamond search distance dependent thresholding search (ADSDTS) algorithm has been proposed for motion estimation in video coding applications. ADSDTS encompassed both the full search (FS) as well as fast searching modes, with different threshold settings providing various quality-of-service levels. The main drawback of ADSDTS was that the threshold value was manually defined. In this paper, the ADSDTS algorithm has been extended to a fully adaptive centre-prediction diamond-search distance-dependent thresholding search (FACDDTS), a key feature of which is the automatic adaptation of the threshold using the desired target and the content from the actual video sequence, to achieve a guaranteed level of quality or processing complexity. Experimental results confirm the performance of the FACDDTS algorithm in achieving this objective with minimal additional computational cost

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完全自适应性能可扩展的基于块的运动估计

权衡计算复杂度和质量是运动估计算法实时应用的重要性能约束。为了解决这一问题，提出了一种自适应中心菱形搜索距离依赖阈值搜索(ADSDTS)算法用于视频编码中的运动估计。ADSDTS包括完整搜索(FS)和快速搜索模式，不同的阈值设置提供不同的服务质量水平。ADSDTS的主要缺点是阈值是手动定义的。本文将ADSDTS算法扩展为一种完全自适应的中心预测菱形搜索距离依赖阈值搜索(FACDDTS)，其关键特征是利用期望目标和实际视频序列中的内容自动自适应阈值，以达到保证质量或处理复杂度的水平。实验结果证实了FACDDTS算法在以最小的额外计算成本实现这一目标方面的性能

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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2005 5th International Conference on Information Communications & Signal Processing

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