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Proceedings Paper

Error reduction in inter-layer motion prediction using FGS refined motion
Author(s): Hana Yoo; Dong Su Lee; Sung Ho Jin; Tae Meon Bae; Yong Man Ro
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Paper Abstract

H.264/AVC Scalable Video Coding (SVC) is an emerging video coding standard developed by the Joint Video Team (JVT), which supports multiple scalability features. With scalabilities, SVC video data can be easily adapted to the characteristics of heterogeneous networks and various devices. Furthermore, SVC requires a high coding efficiency that is equally competitive or better than single-layer H.264/AVC. Motion prediction at the level of Fine Grain Scalability (FGS) enhancement layers was proposed to improve coding efficiency as well as inter-layer motion prediction. However, the removal of the FGS enhancement layer at the inter-layer motion prediction causes significant visual errors due to the encoder-decoder mismatches of motion vectors and MB modes. In this paper, we analyze visual errors to find the cause as well as the method for reducing such errors. Experimental results showed that the proposed method allowed SVC bitstreams decoding with reduced visual errors, even when the FGS enhancement layer used for the inter-layer motion prediction was removed.

Paper Details

Date Published: 28 January 2008
PDF: 10 pages
Proc. SPIE 6822, Visual Communications and Image Processing 2008, 68220K (28 January 2008); doi: 10.1117/12.766051
Show Author Affiliations
Hana Yoo, Information and Communications Univ. (South Korea)
Dong Su Lee, Information and Communications Univ. (South Korea)
Sung Ho Jin, Information and Communications Univ. (South Korea)
Tae Meon Bae, Information and Communications Univ. (South Korea)
Yong Man Ro, Information and Communications Univ. (South Korea)

Published in SPIE Proceedings Vol. 6822:
Visual Communications and Image Processing 2008
William A. Pearlman; John W. Woods; Ligang Lu, Editor(s)

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