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Motion estimation for content adaptive video compression

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4 Author(s)
Jiancong Luo ; Dept. of Comput. Sci. Eng., Texas Univ., Arlington, TX, USA ; I. Ahmad ; Yongfang Liang ; Yu Sun

A multistage motion estimation scheme is proposed. The scheme extracts video characteristics by first performing an online video analysis separately for foreground and background regions. Motion parameters are extracted and passed to the next stage. The next stage includes a mathematical model for the block distortion surface (BDS) that enables the algorithm to accordingly adjust its search technique. The search is performed on a precise search area adaptive to the statistical property of the motion vector prediction error. Due to its self-tuning property, not only does the proposed scheme adapt to scenes by yielding better visual quality but it also yields a lower computational complexity, compared with the other predictive motion estimation algorithms on standard benchmark sequences

Published in:

Multimedia and Expo, 2004. ICME '04. 2004 IEEE International Conference on  (Volume:2 )

Date of Conference:

30-30 June 2004