Paper
16 September 1996 Fast motion detection and compensation method based on hybrid mapping parameter estimation and hierarchical structure in object-oriented coding
Chang-Bum Lee, Rae-Hong Park
Author Affiliations +
Abstract
This paper investigates motion estimation and compensation in object-oriented analysis-synthesis coding. Object- oriented coding employs a mapping parameter technique for estimating motion information in each object. The mapping parameter technique using gradient operators requires high computational complexity. The main objective of this paper is to propose a hybrid mapping parameter estimation method using the hierarchical structure in object-oriented coding. The hierarchical structure employed constructs a low- resolution image. Then six mapping parameters for each object are estimated from the low-resolution image and these parameter values are verified based on the displaced frame difference (DFD). If the verification test succeeds, the parameters and object boundaries are coded. Otherwise, eight mapping parameters are estimated in a low-resolution image and the verification test is again applied to an image reconstructed by estimated parameters. If it succeeds, the parameters and object boundaries are coded, otherwise, the regions are coded by second-order polynomial approximation. Theoretical analysis and computer simulation show that the peak signal to nose ratio (PSNR) of the image reconstructed by the proposed method lies between those of images reconstructed by the conventional 6- and 8-parameter estimation methods with reduction of the computation time by a factor of about four.
© (1996) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Chang-Bum Lee and Rae-Hong Park "Fast motion detection and compensation method based on hybrid mapping parameter estimation and hierarchical structure in object-oriented coding", Proc. SPIE 2952, Digital Compression Technologies and Systems for Video Communications, (16 September 1996); https://doi.org/10.1117/12.251288
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KEYWORDS
Motion estimation

Image analysis

Associative arrays

Image compression

Image resolution

Motion detection

Computer simulations

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