Title :
Digital video standards conversion in the presence of accelerated motion
Author :
Patti, Andrew J. ; Sezan, M. Ibrahim ; Tekalp, A. Murat
Author_Institution :
Dept. of Electr. Eng., Rochester Univ., NY, USA
Abstract :
We address the standards conversion of digital video containing accelerated motion. The spectral characterization of such video is performed by means of short time spectral analysis. The support of the Short Time Spectrum (STS) of video with accelerated motion is derived, and is compared to the STS of linear time-varying (LTV) filters that operate along an accelerated motion trajectory. By utilizing the multiplication property of the STS, it is shown that filtering along the accelerated motion trajectory potentially yields the smallest amount of aliasing in standards conversion applications
Keywords :
digital signals; filtering theory; motion estimation; spectral analysis; telecommunication standards; television standards; time-varying filters; video signal processing; accelerated motion; accelerated motion trajectory; aliasing; digital video standards conversion; filtering; linear time-varying filters; multiplication property; short time spectral analysis; short time spectrum; spectral characteristics; Acceleration; Fourier transforms; High definition video; Image reconstruction; Lattices; Low pass filters; Nonlinear filters; Sampling methods; Sociotechnical systems; Spectral analysis;
Conference_Titel :
Acoustics, Speech, and Signal Processing, 1994. ICASSP-94., 1994 IEEE International Conference on
Conference_Location :
Adelaide, SA
Print_ISBN :
0-7803-1775-0
DOI :
10.1109/ICASSP.1994.389491
