<> "The repository administrator has not yet configured an RDF license."^^ . <> . . . "Classification-aware distortion metric for HEVC intra coding"^^ . "Increasingly many vision applications necessitate the transmission of acquired images and video to a remote location for automated processing. When the image data are consumed by analysis algorithms and possibly never seen by a human, tailoring compression to the application is beneficial from a bit rate perspective. We inject prior knowledge of the application in the encoder to make rate-distortion decisions based on an estimate of the accuracy that will be achieved when analyzing reconstructed image data. Focusing on classification (e.g., used for image segmentation), we propose a new application-aware distortion metric based on a geometric interpretation of classification error. We devise an implementation for the High Efficiency Video Coding standard, and derive optimal model parameters for the A-domain rate control algorithm by curve fitting procedures. We evaluate our approach on time-lapse sequences from plant phenotyping experiments and cell fluorescence microscopy encoded in intra-only mode, observing a reduction in segmentation error across bit rates."^^ . "2015-12" . . "IEEE"^^ . . . . . . . . . . . "Massimo"^^ . "Minervini"^^ . "Massimo Minervini"^^ . . "Sotirios A."^^ . "Tsaftaris"^^ . "Sotirios A. Tsaftaris"^^ . . . . "2015 Visual Communications and Image Processing (VCIP)"^^ . . . . . "Singapore, Singapore"^^ . . . . . "HTML Summary of #3481 \n\nClassification-aware distortion metric for HEVC intra coding\n\n" . "text/html" . . . "QA75 Electronic computers. Computer science"@en . .