NDLI: New Bidirectional Motion Estimation Using Mesh-Based Frame Interpolation for Videoconferencing Applications

Content Provider	IEEE Xplore Digital Library
Author	Munoz-Jimenez, V. Zergainoh-Mokraoui, A. Astruc, J.-P.
Copyright Year	2008
Description	Author affiliation: Univ. Paris 13 99, Villetaneuse (Munoz-Jimenez, V.; Zergainoh-Mokraoui, A.; Astruc, J.-P.)
Abstract	To overcome these drawbacks, a new bidirectional motion estimation algorithm for videoconferencing application at very low bit rate is proposed. The approach is based on spatio-temporal spline interpolation. The proposed algorithm processes as follows. Some frames in the original video sequence are purposely missed. Afterwards, these frames are predicted by the decoder side using only the transmitted frames with no additional information. The motion of each selected and decoded reference object in the scene is modeled by rectangular deformable mesh grid which is constructed according to a coarse to fine quad-tree decomposition tilling algorithm. An optimization step adapts the mesh nodes to the object gradient minimizing then the error of the reconstructed object in an acceptable computational time. From these nodes, a temporal cubic spline interpolation predicts the mesh nodes of the moving object in the missed frame reconstructing therefore the meshed object. While the current frame background is interpolated using temporal cubic spline. The proposed approach is integrated in the H.264/AVC video coding standard. Simulation tests conducted on videoconferencing sequences, at very low bit rate, show that the method provides interesting results in terms of rate-distortion compared to H.264/AVC video coding standard since no additional information is sent to the decoder.
Starting Page	536
Ending Page	536
File Size	140912
Page Count	1
File Format	PDF
ISBN	9780769531212
ISSN	10680314
DOI	10.1109/DCC.2008.104
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2008-03-25
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Motion estimation Interpolation Teleconferencing Spline Decoding Bit rate Automatic voltage control Video coding Video sequences Layout Quad-tree decomposition Mesh Deformation
Content Type	Text
Resource Type	Article
Subject	Computer Networks and Communications

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