DocumentCode
3277093
Title
Locally linear embedding methods for inter image coding
Author
Alain, Martin ; Cherigui, Safa ; Guillemot, Christine ; Thoreau, Dominique ; Guillotel, Philippe
Author_Institution
INRIA, Rennes, France
fYear
2013
fDate
15-18 Sept. 2013
Firstpage
1904
Lastpage
1908
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).
Keywords
adaptive filters; data compression; data reduction; image coding; image matching; motion compensation; motion estimation; H.264 framework; H.264 motion estimation method; adaptive interpolation filters; data dimensionality reduction techniques; inter image coding; inter image prediction methods; motion compensation method; optimized map-aided locally linear embedding methods; rate-distortion performance; spatial prediction; still images; template matching methods; temporal prediction; H.264; Motion estimation/compensation; adaptive filters; locally linear embedding; template matching;
fLanguage
English
Publisher
ieee
Conference_Titel
Image Processing (ICIP), 2013 20th IEEE International Conference on
Conference_Location
Melbourne, VIC
Type
conf
DOI
10.1109/ICIP.2013.6738392
Filename
6738392
Link To Document