Abstract: A method and a system described herein provide optimizing image and/or video compression for machine perception. According to an aspect, the method comprises receiving a raw image frame from a camera sensor; detecting a predefined object in the raw image frame and marking a region around the predefined object within the raw image frame as ROI. Based on the ROI, a partitioning scheme, a prediction mode, and quantization parameter are determined for improving coding efficiency. Machine perception efficiency is improved by selecting a quantization parameter table used for compressing and encoding the raw image or video frame based on a selected machine vision task. The selection of the quantization parameter table is based on training of the selected machine vision task using cost function optimization.

Abstract: A system and method are provided for using a computer system to assist in planning a trajectory (960A, 960B) for a surgical insertion into a skull. The method comprises providing the computer system with a three-dimensional representation of the skull and of critical objects located within the skull, wherein the critical objects comprise anatomical features to be avoided during the surgical insertion. The method further comprises providing the computer system with a target location (770, 970) for the insertion within the skull. The method further comprises generating by the computer system a first set comprising a plurality of entry points, each entry point (760) representing a surface location on the skull, and each entry point (760) being associated (2D) with a trajectory (960A, 960B) from the entry point (760) to the target location (770, 970).

Abstract: A system and method are provided for using a computer system to assist in planning a trajectory (960A, 960B) for a surgical insertion into a skull. The method comprises providing the computer system with a three-dimensional representation of the skull and of critical objects located within the skull, wherein the critical objects comprise anatomical features to be avoided during the surgical insertion. The method further comprises providing the computer system with a target location (770, 970) for the insertion within the skull. The method further comprises generating by the computer system a first set comprising a plurality of entry points, each entry point (760) representing a surface location on the skull, and each entry point (760) being associated (2D) with a trajectory (960A, 960B) from the entry point (760) to the target location (770, 970).