Locally Linear Embedding Methods for Inter Image Prediction

Abstract : Image prediction methods based on data dimensionality reduction techniques have been recently introduced for still images. These techniques have been proven efficient, especially when used in a H.264 framework. This paper introduces a natural extension of this work from spatial prediction to temporal prediction. Locally Linear Embedding and Optimized Map-Aided Locally Linear Embedding methods are adapted within H.264 in order to improve inter image prediction. The resulting prediction methods are compared with the H.264 motion estimation/compensation method, template matching methods and Adaptive Interpolation Filters, and are shown to bring significant Rate-Distortion performance improvements (up to 20.21 % rate saving with respect to H.264).
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Communication dans un congrès
ICIP - IEEE International Conference on Image Processing - 2013, Sep 2013, Melbourne, Australia. 2013
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Dernière modification le : mercredi 11 avril 2018 - 02:01:16
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  • HAL Id : hal-00875941, version 1

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Martin Alain, Safa Chérigui, Christine Guillemot, Dominique Thoreau, Philippe Guillotel. Locally Linear Embedding Methods for Inter Image Prediction. ICIP - IEEE International Conference on Image Processing - 2013, Sep 2013, Melbourne, Australia. 2013. 〈hal-00875941〉

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