Begaint, JeanThoreau, DominiqueGuillotel, PhilippeTurkan, Mehmet2023-06-162023-06-162016978-1-5090-1853-61068-0314https://doi.org/10.1109/DCC.2016.72https://hdl.handle.net/20.500.14365/1936Data Compression Conference (DCC) -- MAR 29-APR 01, 2016 -- Snowbird, UTThanks to the increasing number of images stored in the cloud, external image redundancies can be leveraged to efficiently compress images by exploiting inter-images correlations. In this paper, we propose a novel cloud-based image coding scheme. Unlike current state-of-the-art systems, our method relies on a data dimensionality reduction technique. A global compensation is associated to a locally-weighted template matching compensation method to predict a reference frame, to be then differential-coded with classic video coding tools. Experimental results demonstrate that the proposed approach yields significant rate-distortion performance improvements compared to current image coding solutions.eninfo:eu-repo/semantics/closedAccessPhoto Album CompressionConference Object10.1109/DCC.2016.722-s2.0-85010049771