Paper Info
Title
Locally linear embedding methods for inter image coding
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).
Year
DOI
Venue
2013
10.1109/ICIP.2013.6738392
Image Processing
Keywords
Field
DocType
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
Template matching,Computer vision,Quarter-pixel motion,Embedding,Pattern recognition,Computer science,Motion compensation,Artificial intelligence,Adaptive filter,Motion estimation,Data compression,Data reduction
Conference
ISSN
Citations 
PageRank 
1522-4880
2
0.40
References 
Authors
8
4
Name
Order
Citations
PageRank
Martin Alain130.75
Cherigui, S.220.40
Christine Guillemot31286104.25
Thoreau, D.4112.00