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Inter-prediction methods based on linear embedding for video compression

Abstract : This paper considers the problem of temporal prediction for inter-frame coding of video sequences using locally linear embedding (LLE). LLE-based prediction, first considered for intra-frame prediction, computes the predictor as a linear combination of K nearest neighbors (K-NN) searched within one or several reference frames. The paper explores different K-NN search strategies in the context of temporal prediction, leading to several temporal predictor variants. The proposed methods are tested as extra inter-frame prediction modes in an H.264 codec, but the proposed concepts are still valid in HEVC. The results show that significant rate-distortion performance gains are obtained with respect to H.264 (up to 15.31% bit-rate saving).
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https://hal.inria.fr/hal-01204761
Contributor : Martin Alain <>
Submitted on : Thursday, September 24, 2015 - 3:08:57 PM
Last modification on : Friday, March 6, 2020 - 1:30:33 AM
Long-term archiving on: : Tuesday, December 29, 2015 - 9:51:18 AM

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Martin Alain, Christine Guillemot, Dominique Thoreau, Philippe Guillotel. Inter-prediction methods based on linear embedding for video compression. Signal Processing: Image Communication, Elsevier, 2015, 37, pp.47-57. ⟨10.1016/j.image.2015.07.011⟩. ⟨hal-01204761⟩

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