Random Initial Search Points Prediction for Content Aware Motion Estimation in H.264

Vidya N. More; Ajinkya Deshmukh; Dhiraj More; M. S. Sutaone

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Paper

Random Initial Search Points Prediction for Content Aware Motion Estimation in H.264

Topics: Content-Based Indexing, Search, and Retrieval; Features Extraction; Image and Video Coding and Compression

In Proceedings of the 10th International Conference on Computer Vision Theory and Applications - Volume 2: VISAPP, 159-165, 2015 , Berlin, Germany

Authors: Vidya N. More ; Ajinkya Deshmukh ; Dhiraj More and M. S. Sutaone

Affiliation: College of Engineering Pune, India

Keyword(s): H.264, Content Aware Motion Estimation, Search Point Prediction.

Related Ontology Subjects/Areas/Topics: Computer Vision, Visualization and Computer Graphics ; Features Extraction ; Image and Video Analysis ; Image and Video Coding and Compression ; Image Formation and Preprocessing

Abstract: Motion estimation algorithms used in video encoders are based on three important issues: selection of good initial search points, choice of appropriate search pattern and effective early termination criteria at different stages in algorithm.Motion vector prediction is also treated as initial search point prediction, in which possibility of good match block is predicted. Prediction is based on prior data from co-located and/or adjacent macroblocks from reference frame or current video frame respectively.Different search patterns contribute in achieving near accurate motion estimation. Different types of motion in real time videos can be tracked using different types of patterns. Early termination criteria at different stages in algorithm, avoid search at further possible locations which are pre-decided by pattern of search. This in turns reduces computations and motion estimation time.Proposed algorithm is combination of two concepts, content awareness and initial point prediction. Co ntents of video data is in terms of homogeneity coefficients. Initial search point prediction is used to avoid the search trapping into local minima.The algorithm is implemented on Reference Software of JM18.4 of H.264/AVC revised on 5th May 2011. The results of the implemented algorithm show that the total time taken for encoding and motion estimation time are less as compared with other algorithms for the videos of different resolutions. (More)

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Paper citation in several formats:

More, V.; Deshmukh, A.; More, D. and Sutaone, M. (2015). Random Initial Search Points Prediction for Content Aware Motion Estimation in H.264. In Proceedings of the 10th International Conference on Computer Vision Theory and Applications (VISIGRAPP 2015) - Volume 2: VISAPP; ISBN 978-989-758-089-5; ISSN 2184-4321, SciTePress, pages 159-165. DOI: 10.5220/0005311401590165

@conference{visapp15,
author={Vidya N. More. and Ajinkya Deshmukh. and Dhiraj More. and M. S. Sutaone.},
title={Random Initial Search Points Prediction for Content Aware Motion Estimation in H.264},
booktitle={Proceedings of the 10th International Conference on Computer Vision Theory and Applications (VISIGRAPP 2015) - Volume 2: VISAPP},
year={2015},
pages={159-165},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005311401590165},
isbn={978-989-758-089-5},
issn={2184-4321},
}

TY - CONF

JO - Proceedings of the 10th International Conference on Computer Vision Theory and Applications (VISIGRAPP 2015) - Volume 2: VISAPP
TI - Random Initial Search Points Prediction for Content Aware Motion Estimation in H.264
SN - 978-989-758-089-5
IS - 2184-4321
AU - More, V.
AU - Deshmukh, A.
AU - More, D.
AU - Sutaone, M.
PY - 2015
SP - 159
EP - 165
DO - 10.5220/0005311401590165
PB - SciTePress