Skip to Main content Skip to Navigation
Conference papers

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).
Document type :
Conference papers
Complete list of metadatas

Cited literature [15 references]  Display  Hide  Download

https://hal.inria.fr/hal-00875941
Contributor : Martin Alain <>
Submitted on : Thursday, October 24, 2013 - 3:06:14 PM
Last modification on : Friday, July 10, 2020 - 4:26:40 PM
Long-term archiving on: : Monday, January 27, 2014 - 12:02:27 PM

File

LLE_inter_coding_ICIP_2013_fin...
Files produced by the author(s)

Identifiers

  • HAL Id : hal-00875941, version 1

Citation

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⟩

Share

Metrics

Record views

727

Files downloads

340