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ZERNIKE MOMENTSZebra EmbryoZernike polynomialZero-Shot ClassificationZ-type SchlierenZoom FatigueZero Parallax SettingZEISSZERNIKEZ number
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0.8um pixel
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1 MICRON PIXELS133-MEGAPIXEL1st and 2nd FM generation 3D halftoning108 Megapixel1/f noise100 Hue test180 degree images1-bit matrix completion
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2D to Hologram conversion2D metrics2-d scale2D and 3D video2D-plus-depth video2.5D reconstruction2D VIEWS2D DCT2D2.5D2AFC2D-TO-3D CONVERSION ARTIFACTS2-D barcodes2D printing2.5 D printing2.5D PRINTING2D/3D imaging, high performance computing, imaging systems, efficient computations and storage2.5D printing2D AND 3D CONVERTIBLE DISPLAY
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3D-color perception3D display3D refinement3D shape indexing and retrieval3D mesh3D DIGITIZATION METHOD FOR OIL PAINTINGS3D position measurement of people3D-shooting3D Data Processing3D Telepresence3D Measurement3D theater program listing3D PRINTING3D face alignment3D MODEL3D Morphable Model3D Object Detection360-degree images3D CAMERAS360 degrees video360-degree art exhibition360-degree image projection3D stereo vision360 panorama3D perception3D/4D Scanning3D video3D-LUT3D/4D Data Processing and Filtering360VR3D mapping and localization360-degree video streaming3D depth-map360-video3D data processing3D optical scans3D Saliency3D surface3D warping3D objects3D video processing3D scene classification360-degree Image3D TRANSFORMATION3D model3D compression3D Imaging3D STACK3D Modeling3D Range Data3D surface reproduction3D EDUCATIONAL MATERIAL3D Tracking360-degree videos3D scene flow estimation3D connected tube model3D Video Communications3D Shape Indexing and Retrieval3D/4D DATA PROCESSING AND FILTERING3D Halftoning3D Data Sources3D camera3D-HEVC3D adaptive halftoning3D image compression3D Digital Image Correlation3D shape3D PRINTER3D printing3D Communications360-degree content3D recovery3D Printing3D Point Cloud3D affine transformation360 degree images3D Range Data Compression3D scanning3D Mapping3D capture3D modelling3D rigid transformations3D RECONSTRUCTION3D digital halftoning3D Vision3D Immersion3D/2D Visuals3D modeling3D range scanning3D Curvelet3ARRI footage360° video3D depth sensing360 IMAGING3D HALFTONING3D projector3D mesh simplification35MM FILM DIGITIZATION3D Scene Reconstruction and Modeling3DCNN3D-Anisotropic smoothing3D point cloud3D human-centered technologies3D-assisted features3D/4D SCANNING3D localization3D range geometry3D colour Digital Image Correlation3D Print Appearance3D digitization and dissemination3D localization and mapping3D INTERACTION360° VIDEO3D ACQUISITION ARCHITECTURE3D audio3D imaging3D RECOVERY3D printer3D-high efficiency video coding3D visual representation3D DISPLAY360x3D scene capture3-D SHAPE RECOVERY3d mapping360 Video3A ALGORITHMS3D TV3D PROFILE360-Degree Video Technology3D cinema and TV3D USER INTERFACES3D-printing3D Range Data Encoding3d3D Reconstruction360-degree imaging3D Color Printing3D vision3D3D encoding3D glasses3D COMPRESSION AND ENCRYPTION3D surface structure based halftoning3d video3D STIMULI3D IMAGE3D Gaussian splatting360-degree3D MESHES3D Display360-degree video3D communications3D displays3DSR3D Lidar3D Scene Reconstruction3D-CNN360° STEREO PANORAMAS3D Iterative Halftoning3D MESH3D reconstruction3D Compression and Encryption3D VISUALIZATION3DMM3D-human body detection3D recursive search3-T pixel3D Video3D print3D halftoning3D SALIENCY3D Meshes3D SHAPE INDEXING AND RETRIEVAL3D and 2D3D SCENE RECONSTRUCTION AND MODELING3D RANGE IMAGING3D Image Processing3d localization3D MODELLING3-D RECONSTRUCTION3D shape analysis360-DEGREE IMAGE360-deg quality assessment3D Video Conferencing3D Quality3D Models3D object shape3D Compression3D Computer Graphics
Video compression in automated vehicles and advanced driving assistance systems is of utmost importance to deal with the challenge of transmitting and processing the vast amount of video data generated per second by the sensor suite which is needed to support robust situational awareness.
The objective of this paper is to demonstrate that video compression can be optimised based on the perception system that will utilise the data. We have considered the deployment of deep neural networks to implement object (i.e. vehicle) detection based on compressed video camera data extracted
from the KITTI MoSeg dataset. Preliminary results indicate that re-training the neural network with M-JPEG compressed videos can improve the detection performance with compressed and uncompressed transmitted data, improving recalls and precision by up to 4% with respect to re-training with
uncompressed data.