Scene-adaptive motion interpolation structures based on temporal masking in human visual perception

Jungwoo Lee; Bradley W. Dickinson

doi:10.1117/12.157969

22 October 1993 Scene-adaptive motion interpolation structures based on temporal masking in human visual perception

Jungwoo Lee, Bradley W. Dickinson

Proceedings Volume 2094, Visual Communications and Image Processing '93; (1993) https://doi.org/10.1117/12.157969
Event: Visual Communications and Image Processing '93, 1993, Cambridge, MA, United States

Abstract

In this paper we present a novel technique to dynamically adapt motion interpolation structures by temporal segmentation. The interval between two reference frames is adjusted according to the temporal variation of the input video. The difficulty of bit rate control for this dynamic group of pictures (GOP) structure is resolved by taking advantage of temporal masking in human vision. Six different frame types are used for efficient bit rate control, and telescopic search is used for fast motion estimation because frame distances between reference frames are dynamically varying. Constant picture quality can be obtained by variable bit rate coding using this approach and the statistical bit rate behavior of the coder is discussed. Advantages for low bit rate coding and storage media applications and implications for HDTV coding are discussed. Simulations on test video including HDTV sequences are presented for various GOP structures and different bit rates, and the results compare favorably with those for conventional fixed GOP structures.

Citation Download Citation

Jungwoo Lee and Bradley W. Dickinson "Scene-adaptive motion interpolation structures based on temporal masking in human visual perception", Proc. SPIE 2094, Visual Communications and Image Processing '93, (22 October 1993); https://doi.org/10.1117/12.157969

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