Title :
Distortion identification technique in video stabilization
Author :
Liu, Yan ; Zou, Mouyan
Author_Institution :
Chinese Acad. of Sci., Grad. Univ., Beijing
Abstract :
For non-stationary displacement sequence of the real-world image sequence, this paper presents a distortion identification technique based on Hilbert Huang Transform (HHT) to identify the distortion model and distortion frequency of the displacement sequence. Experiment results show that this technique can identify the distortion model and distortion frequency of the displacement sequence accurately and quickly. Based on these identification results, we can realize the video stabilization effectively.
Keywords :
Hilbert transforms; distortion; image sequences; motion compensation; video signal processing; Hilbert Huang transform; distortion frequency; distortion identification technique; motion compensation; nonstationary displacement sequence; real-world image sequence; video stabilization; Digital filters; Distortion; Filtering; Frequency estimation; Image sequences; Jitter; Signal analysis; Signal processing; Smoothing methods; Time frequency analysis; Distortion frequency identification; Distortion model identification; Hilbert Huang Transform; Image sequence distortion; Video Stabilization;
Conference_Titel :
Consumer Electronics, 2009. ICCE '09. Digest of Technical Papers International Conference on
Conference_Location :
Las Vegas, NV
Print_ISBN :
978-1-4244-4701-5
Electronic_ISBN :
978-1-4244-2559-4
DOI :
10.1109/ICCE.2009.5012178
