Adaptive Order Search and Tangent Weighted Trade-off for H.264 in Motion Estimation
Srinivas Bachu, K. Manjunath Achari
Journal of Multimedia Processing and Technologies, Vol. 7, No. 1, 2016.
DOI: 
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Abstract:
Block motion estimation and compensation are played a major role in the video compression to reduce the
temporal redundancies of the input videos. Variety of block search pattern is developed in the literature to match the
blocks with reduced computation complexity but without affecting the visual quality. In this paper, we have integrated
the square and hexagon search pattern with adaptive order to find the block motion estimation. This proposed search
patterns is developed as AOSH search algorithm to find the best matching block without much considering large number
of search points. Also, the searching function is formulated as trade-off criterion where, tangent weighted function is
newly developed to evaluate the matching point. The proposed AOSH search algorithm and tangent weighted trade-off
criterion is effectively applied to block estimation process with the aim of improving the visual quality and compressive
performance. The objective of video compression is validated for the proposed method using three videos namely, football,
garden and tennis. The quantitative performance of the proposed method and existing methods are analyzed using
SSIM and CIR. The results prove that the proposed method obtained the good visual quality and compressive performance
than the previous methods.