Implementation of parallel motion estimation model for video sequence compression

Jeyakumar, S.; Sundaravadivelu, S.

doi:10.1109/icccnet.2008.4787673

Cited by 5 publications

(1 citation statement)

References 8 publications

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“…In actuality, movement estimation based encoders are the most generally utilized in video compression techniques [3]. Video sequences are moving pictures which are tested at regular intervals generally, 25 frames for each second and put away as grouping of frames [14]. The motion can be estimates with the encoder, which occurred between the reference and current frames.…”

Section: Introductionmentioning

confidence: 99%

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

Bangalore¹,

Manjunathachari²

2017

IJSIP

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We are intended to propose a video compression based on Modified Pixel-Based Motion Estimation (MPME) 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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Section: Introductionmentioning

confidence: 99%

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

Bangalore¹,

Manjunathachari²

2017

IJSIP

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Splitting Strategies for Video Images Processing in Medical Data Grid

Chong

Latip

2011

Software Engineering and Computer Systems

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There has a lot of improvements had been done on the diagnostic tools. Due to these improvements, most of the medical images are now migrating from 1D (e.g. cardiograms and encephalograms) and 2D (e.g. x-rays) images to extended 3D (e.g. tomography) and eventually 4D (3 spatial dimension + time) image. This migration process has let the volume of medical image become larger and become difficult to store. To overcome this kind of problems, most of the hospitals start to integrate the grid technology into their medical storage system. In this paper, besides presented the current related research projects in the medical field, we also briefly discussed on the details of medical data grid, and the strategies and techniques used in the video and image processing area. From the discussion, based on the parameters of the initial delay and the deadline miss, we found that the Fibonacci-based splitting strategy is the most appropriate strategy for used in the video images processing.

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Motion estimation in video compression and comparision between LSK, Huffman & Runlength coding

Bangalore

Manjunathachari

2015

2015 International Conference on Electrical, Electronics, Signals, Communication and Optimization (EESCO)

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Implementation of parallel motion estimation model for video sequence compression

Cited by 5 publications

References 8 publications

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

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

Splitting Strategies for Video Images Processing in Medical Data Grid

Motion estimation in video compression and comparision between LSK, Huffman & Runlength coding

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