This paper describes a new highly efficient deinterlacing approach based on motion estimation and compensation techniques. The proposed technique mainly benefits from the motion vector properties of zonal based algori...
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ISBN:
(纸本)0819439886
This paper describes a new highly efficient deinterlacing approach based on motion estimation and compensation techniques. The proposed technique mainly benefits from the motion vector properties of zonal based algorithms, such as the Advanced Predictive Diamond zonal Search (APDZS) and the Predictive Motion Vector Field Adaptive Search Technique (PMVFAST), multihypothesis motion compensation, but also an additional motion classification phase where, depending on the motion of a pixel, additional spatial and temporal information is also considered to further improve performance. Extensive simulations demonstrate the efficacy of these algorithms, especially when compared to standard deinterlacing techniques such as the line doubling and line averaging algorithms.
Motion Estimation (ME) for video coding has taken an entirely different direction with the emergence of zonal algorithms. These algorithms made it possible to significantly reduce, if not almost eliminate, the tremend...
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ISBN:
(纸本)0819444111
Motion Estimation (ME) for video coding has taken an entirely different direction with the emergence of zonal algorithms. These algorithms made it possible to significantly reduce, if not almost eliminate, the tremendous computational overhead of motion estimation that was incurred in a video encoding system, while having little if any loss in quality. In this paper we further improve on these algorithms with the introduction of the Enhanced Predictive zonal Search Algorithm (EPZS). By considering an additional set of predictors, improving the thresholding process, and simplifying the search pattern employed by these algorithms, we not only manage in achieving better output quality, but also reduce complexity of the motion estimation process even further. Our algorithm was compared with the algorithms accepted in the Optimization Model 1.0 of MPEG-4, and our simulations prove its outright superiority versus the existing algorithms. Furthermore we present a 3-Dimensional implementation of EPZS, which can be easily applied in the case of multiple frame motion estimation (ITU H.263++ and H.26L).
Motion Estimation (ME) is an important part of most video encoding systems, since it could significantly affect the output quality of an encoded sequence. Unfortunately this feature requires a significant part of the ...
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ISBN:
(纸本)0819439886
Motion Estimation (ME) is an important part of most video encoding systems, since it could significantly affect the output quality of an encoded sequence. Unfortunately this feature requires a significant part of the encoding time especially when using the straightforward Full Search (FS) algorithm. In this paper a new algorithm is presented named as the Predictive Motion Vector Field Adaptive Search Technique (PMVFAST), which significantly outperforms most if not all other previously proposed algorithms in terms of Speed Up performance. In addition, the output quality of the encoded sequence in terms of PSNR is similar to that of the Full Search algorithm. The proposed algorithm relies mainly upon very robust and reliable predictive techniques and early termination criteria, which make use of parameters adapted to the local characteristics of a frame. Our experiments verify the superiority of the proposed algorithm, not only versus several other well-known fast algorithms, but also in many cases versus even the Full Search algorithm.
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