9,705 research outputs found

    An efficient search strategy for block motion estimation using image features

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    2001-2002 > Academic research: refereed > Publication in refereed journalVersion of RecordPublishe

    Block motion vector estimation using edge matching : an approach with better frame quality as compared to full search algorithm

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    A Survey on Block Matching Algorithms for Video Coding

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    Block matching algorithm (BMA) for motion estimation (ME) is the heart to many motion-compensated video-coding techniques/standards, such as ISO MPEG-1/2/4 and ITU-T H.261/262/263/264/265, to reduce the temporal redundancy between different frames. During the last three decades, hundreds of fast block matching algorithms have been proposed. The shape and size of search patterns in motion estimation will influence more on the searching speed and quality of performance. This article provides an overview of the famous block matching algorithms and compares their computational complexity and motion prediction quality

    Low computational complexity variable block size (VBS) partitioning for motion estimation using the Walsh Hadamard transform (WHT)

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    Variable Block Size (VBS) based motion estimation has been adapted in state of the art video coding, such as H.264/AVC, VC-1. However, a low complexity H.264/AVC encoder cannot take advantage of VBS due to its power consumption requirements. In this paper, we present a VBS partition algorithm based on a binary motion edge map without either initial motion estimation or Rate-Distortion (R-D) optimization for selecting modes. The proposed algorithm uses the Walsh Hadamard Transform (WHT) to create a binary edge map, which provides a computational complexity cost effectiveness compared to other light segmentation methods typically used to detect the required region

    A feature-assisted search strategy for block motion estimation

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    Centre for Multimedia Signal Processing, Department of Electronic and Information EngineeringVersion of RecordPublishe
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