<> "The repository administrator has not yet configured an RDF license."^^ . <> . . . "Unsupervised and supervised approaches to color space transformation for image coding"^^ . "The linear transformation of input (typically RGB) data into a color space is important in image compression. Most schemes adopt fixed transforms to decorrelate the color channels. Energy compaction transforms such as the Karhunen-Loève (KLT) do entail a complexity increase. Here, we propose a new data-dependent transform (aKLT), that achieves compression performance comparable to the KLT, at a fraction of the computational complexity. More important, we also consider an application-aware setting, in which a classifier analyzes reconstructed images at the receiver's end. In this context, KLT-based approaches may not be optimal and transforms that maximize post-compression classifier performance are more suited. Relaxing energy compactness constraints, we propose for the first time a transform which can be found offline optimizing the Fisher discrimination criterion in a supervised fashion. In lieu of channel decorrelation, we obtain spatial decorrelation using the same color transform as a rudimentary classifier to detect objects of interest in the input image without adding any computational cost. We achieve higher savings encoding these regions at a higher quality, when combined with region-of-interest capable encoders, such as JPEG 2000."^^ . "2014-10" . . "IEEE"^^ . . . . . . . . . . . . . . "Massimo"^^ . "Minervini"^^ . "Massimo Minervini"^^ . . "Cristian"^^ . "Rusu"^^ . "Cristian Rusu"^^ . . "Sotirios A."^^ . "Tsaftaris"^^ . "Sotirios A. Tsaftaris"^^ . . . . "Image Processing (ICIP), 2014 IEEE International Conference on"^^ . . . . . "HTML Summary of #2549 \n\nUnsupervised and supervised approaches to color space transformation for image coding\n\n" . "text/html" . . . "QA75 Electronic computers. Computer science"@en . .