Predictive cross-hexagon search algorithm for fast block motion estimation

Yen-Chieh Ouyang; Li-Jiuan Huang; Hsian-Min Chen

doi:10.1117/1.3073888

1 January 2009 Predictive cross-hexagon search algorithm for fast block motion estimation

Yen-Chieh Ouyang, Li-Jiuan Huang, Hsian-Min Chen

Author Affiliations +

Journal of Electronic Imaging, Vol. 18, Issue 1, 013005 (January 2009). https://doi.org/10.1117/1.3073888

Abstract

Block-matching motion estimation plays an important role in real-time video compression and thus has significant impact on searching speed and quality of performance. In order to address these issues, we introduce a highly efficient block motion estimation algorithm, referred to as a predictive cross-hexagon search (PCHS) algorithm, that can considerably reduce the complexity of the Joint Video Team (JVT) encoder. In contrast to many classical fast motion estimation algorithms, PCHS has three desirable features: (1) prediction of a search center, (2) usage of search patterns with different sizes, and (3) early algorithm termination that makes it adaptive and effective. We set four predictor candidates for initial search point options and then increase the accuracy of the predictor. The different-size search patterns, including small cross search patterns, hexagon search patterns, and cross-hexagon search patterns, used in the searching process can better suit more motion types. Due to the high accuracy of the predictor, the proposed algorithm adapts early termination; as the predictor is good enough, the search stops early. Therefore, the PCHS algorithm is suitable for real-time video encoding, as it can speed up the encoder without sacrificing performance compared with other fast algorithms.

©(2009) Society of Photo-Optical Instrumentation Engineers (SPIE)

Citation Download Citation

Yen-Chieh Ouyang, Li-Jiuan Huang, and Hsian-Min Chen "Predictive cross-hexagon search algorithm for fast block motion estimation," Journal of Electronic Imaging 18(1), 013005 (1 January 2009). https://doi.org/10.1117/1.3073888

Published: 1 January 2009

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available