Abstract
In most of video coding standards based on predictive coding technique, motion vector information occupies a considerable portion of the whole compressed bitstream. Therefore, the efficient coding of motion vectors has become an essential objective to further reduce the bitrate. In this paper, a novel motion vector coding method based on optimal motion vector predictor (MVP) selection is proposed. First, the predictor candidate set is adaptively determined based on the characteristics of neighboring motion vectors, and then the optimal predictor is chosen from this set to minimize the number of bits used for encoding motion vector difference (MVD). After that, in order to save those extra bits for informing the decoder which predictor is selected by the encoder, the extra needed bits are smartly assigned by considering the fact that the MVD transmitted is obtained on the basis of minimum bitrate prediction. Simulation results show that compared to the original H.264/AVC codec, the proposed motion vector coding scheme achieves an average bitrate reduction of 5.02%, with an equivalent or even better PSNR quality.
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© 2009 Springer-Verlag Berlin Heidelberg
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Dai, J., Au, O.C., Pang, C., Yang, W., Zou, F. (2009). Motion Vector Coding Based on Optimal Predictor Selection. In: Muneesawang, P., Wu, F., Kumazawa, I., Roeksabutr, A., Liao, M., Tang, X. (eds) Advances in Multimedia Information Processing - PCM 2009. PCM 2009. Lecture Notes in Computer Science, vol 5879. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-10467-1_100
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DOI: https://doi.org/10.1007/978-3-642-10467-1_100
Publisher Name: Springer, Berlin, Heidelberg
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