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Proceedings Paper

Fast motion vector recovery algorithm in H.264 video streams
Author(s): Kavish Seth; V. Kamakoti; S. Srinivasan
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Paper Abstract

This paper proposes a fast statistical approach to recover lost motion vectors in H.264 video coding standard. Unlike other video coding standards, the motion vectors of H.264 cover smaller area of the video frame being encoded. This leads to a strong correlation between neighboring motion vectors, thus making H.264 standard amenable for statistical analysis to recover the lost motion vectors. This paper proposes a Pearson Correlation Coefficient based matching algorithm that speeds up the recovery of lost motion vectors with very less compromise in visual quality of the recovered video. To the best of our knowledge, this is the first attempt that employs correlation coefficient for motion vector recovery. Experimental results obtained by employing the proposed algorithm on standard benchmark video sequences show that they yield comparable quality of recovered video with significantly less computation than the best reported in the literature, thus making it suitable for real-time applications.

Paper Details

Date Published: 27 January 2010
PDF: 9 pages
Proc. SPIE 7542, Multimedia on Mobile Devices 2010, 75420N (27 January 2010); doi: 10.1117/12.843973
Show Author Affiliations
Kavish Seth, Indian Institute of Technology Madras (India)
V. Kamakoti, Indian Institute of Technology Madras (India)
S. Srinivasan, Indian Institute of Technology Madras (India)


Published in SPIE Proceedings Vol. 7542:
Multimedia on Mobile Devices 2010
Reiner Creutzburg; David Akopian, Editor(s)

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