A Content-Motion-Aware Motion Estimation for Quality-Stationary Video Coding

• Published in: EURASIP journal on advances in signal processing Vol. 2010; no. 1
• Main Authors: Lin, Meng-Chun, Dung, Lan-Rong
• Format: Journal Article
• Language: English
• Published: Cham Springer International Publishing 01.01.2010; SpringerOpen
• Subjects: Engineering; Quantum Information Technology; Research Article; Signal,Image and Speech Processing; Spintronics; Video Sequence; Motion Estimation Algorithm; Aliasing Problem; Quality Degradation; Speedup Ratio
• ISSN: 1687-6180; 1687-6172; 1687-6180
• DOI: 10.1155/2010/403634

The block-matching motion estimation has been aggressively developed for years. Many papers have presented fast block-matching algorithms (FBMAs) for the reduction of computation complexity. Nevertheless, their results, in terms of video quality and bitrate, are rather content-varying. Very few FBMAs can result in stationary or quasistationary video quality for different motion types of video content. Instead of using multiple search algorithms, this paper proposes a quality-stationary motion estimation with a unified search mechanism. This paper presents a content-motion-aware motion estimation for quality-stationary video coding. Under the rate control mechanism, the proposed motion estimation, based on subsample approach, adaptively adjusts the subsample ratio with the motion-level of video sequence to keep the degradation of video quality low. The proposed approach is a companion for all kinds of FBMAs in H.264/AVC. As shown in experimental results, the proposed approach can produce stationary quality. Comparing with the full-search block-matching algorithm, the quality degradation is less than 0.36 dB while the average saving of power consumption is 69.6%. When applying the proposed approach for the fast motion estimation (FME) algorithm in H.264/AVC JM reference software, the proposed approach can save 62.2% of the power consumption while the quality degradation is less than 0.27 dB.