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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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Contributor : Martin Alain Connect in order to contact the contributor
Submitted on : Thursday, October 24, 2013 - 3:06:14 PM
Last modification on : Tuesday, October 19, 2021 - 11:58:56 PM
Long-term archiving on: : Monday, January 27, 2014 - 12:02:27 PM


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  • HAL Id : hal-00875941, version 1


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. ⟨hal-00875941⟩



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