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      저자 : Manjunath Achari K (검색결과 2 건)
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      • Motion Estimation in Video Coding & SSIM and CIR Comparison between Adaptive Search Algorithms

        Srinivas Bachu,Manjunath Achari K 보안공학연구지원센터 2016 International Journal of Signal Processing, Image Vol.9 No.9

        An adaptive search order calculations are introduced to accelerate the square or hexagon movement estimation in advanced video coding. As indicated by the movement incline, a table of the versatile inquiry request is characterized. For each seeking emphasis, a superior pursuit request is determined and after that the best coordinated square can be found in the early hunt stage. Some test results exhibit the computational point of interest of the proposed enhanced calculation when contrasted with past calculations. Block motion estimation and compensation are played a major role in the video compression to reduce the temporal redundancies of the input videos. Assortment of square pursuit example is created in the writing to coordinate the pieces with decreased calculation multifaceted nature however without influencing the visual quality. In this paper, we have talked about the precious stone, square and hexagon look design with versatile request to discover the piece movement estimation. These inquiry examples are created as adaptive order square hexagon (AOSH) look calculation to locate the best coordinating piece without much considering vast number of hunt focuses. Likewise, the seeking capacity is defined as exchange off standard where, digression weighted capacity is recently created to assess the coordinating point. The AOSH seek calculation and digression weighted exchange off paradigm is successfully connected to piece estimation process with the point of enhancing the visual quality and compressive execution. The goal of video pressure is accepted for the proposed strategy utilizing three recordings to be specific, football, garden and tennis. The quantitative execution of the proposed technique and existing strategies are broke down utilizing Structural Similarity Index (SSIM) and Compression Improvement Ratio (CIR). The outcomes demonstrate that the AOSH technique got the great visual quality and compressive execution than the past strategies.

      • A New Diamond Search Algorithm for Adaptive Pixel Based Motion Estimation in Video Coding

        Srinivas Bachu,Manjunath Achari K 보안공학연구지원센터 2016 International Journal of Signal Processing, Image Vol.9 No.11

        We are intended to propose a video compression based on Modified Pixel-Based Motion Estimation (MPME) technique to solve the current problems in the literary works. The proposed system will be comprised of four phases, Displacement Calculation, Motion Estimation, Encoding and Decoding. In displacement calculation the I-frame and the P-frame has to been constructed from the video frames. In second phase, the motion vector has been finding out by using the Modified Pixel Based Motion estimation. In here we are creating four movement vector predictors (West Predictor, Neighbor Predictor, Median Predictor and Centre Predictor) with the help of diamond based search pattern. The proposed motion estimation technique is conducted on a pixel-by-pixel basis and the predicted P-frame has been developed using motion estimation technique. The residual is calculated with the original P-frame and the predicted P frame, and the residual is passed into next phase. After the motion vector estimation each frame is encoded by using JPEG-LS encoder. Next the encoded values of compressed video frames are decoded by using the decoding technique and for that JPEG-LS decoder is used. The proposed video compression using MPME will be implemented in the platform MATLAB and the performance of the video codec procedure is assessed by contrasting the consequence of proposed system with the conventional motion estimation algorithms.

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