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Conference Papers Year : 2013

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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Dates and versions

hal-00875941 , version 1 (24-10-2013)

Identifiers

  • HAL Id : hal-00875941 , version 1

Cite

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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