YOLOv7-tinyYOLOXYou only look once (YOLO)Yolov5YOLO-RYOLOYOLOv8YOLOv5You only look once v3 (YOLOv3)YouTubeyolo
Z
Zernike polynomialZebra EmbryoZERNIKE MOMENTSZero-Shot ClassificationZ-type SchlierenZero Parallax SettingZoom FatigueZERNIKEZEISSZ number
0
0.8um pixel
1
1 MICRON PIXELS133-MEGAPIXEL1st and 2nd FM generation 3D halftoning100 Hue test1/f noise108 Megapixel1-bit matrix completion180 degree images
2
2-d scale2D metrics2D to Hologram conversion2D-plus-depth video2D and 3D video2D DCT2D VIEWS2.5D reconstruction2AFC2.5D2D2D printing2-D barcodes2D-TO-3D CONVERSION ARTIFACTS2D/3D imaging, high performance computing, imaging systems, efficient computations and storage2.5D PRINTING2.5 D printing2D AND 3D CONVERTIBLE DISPLAY2.5D printing
3
3D video3D-LUT3D/4D Scanning360 panorama3D perception3D stereo vision360-degree image projection3D CAMERAS360 degrees video360-degree art exhibition3D Object Detection360-degree images3D Morphable Model3D PRINTING3D face alignment3D MODEL3D Measurement3D theater program listing3D Data Processing3D Telepresence3D position measurement of people3D-shooting3D DIGITIZATION METHOD FOR OIL PAINTINGS3D mesh3D shape indexing and retrieval3D refinement3D-color perception3D display3D scene classification3D video processing3D objects3D warping3D Saliency3D surface3D data processing3D optical scans360-video360-degree video streaming3D depth-map3D mapping and localization3D/4D Data Processing and Filtering360VR3D Digital Image Correlation3D image compression3D adaptive halftoning3D-HEVC3D camera3D Halftoning3D Data Sources3D Shape Indexing and Retrieval3D/4D DATA PROCESSING AND FILTERING3D Video Communications360-degree videos3D scene flow estimation3D connected tube model3D Tracking3D EDUCATIONAL MATERIAL3D surface reproduction3D Range Data3D Modeling3D STACK3D compression3D Imaging3D model3D TRANSFORMATION360-degree Image3D HALFTONING360 IMAGING3D depth sensing3D Curvelet3ARRI footage360° video3D range scanning3D modeling3D/2D Visuals3D digital halftoning3D Vision3D Immersion3D rigid transformations3D RECONSTRUCTION3D modelling3D Mapping3D scanning3D capture3D Range Data Compression360 degree images3D affine transformation3D Point Cloud3D Printing3D recovery360-degree content3D Communications3D printing3D PRINTER3D shape3D printer3D RECOVERY3D ACQUISITION ARCHITECTURE3D audio3D imaging3D INTERACTION360° VIDEO3D localization and mapping3D digitization and dissemination3D colour Digital Image Correlation3D Print Appearance3D range geometry3D localization3D/4D SCANNING3D-assisted features3D point cloud3D human-centered technologies3D-Anisotropic smoothing3DCNN3D Scene Reconstruction and Modeling3D mesh simplification35MM FILM DIGITIZATION3D projector3D IMAGE3D STIMULI3d video3D glasses3D COMPRESSION AND ENCRYPTION3D surface structure based halftoning3D3D encoding3D vision3D Color Printing360-degree imaging3D Reconstruction3D Range Data Encoding3d3D-printing3D USER INTERFACES3D cinema and TV3D PROFILE360-Degree Video Technology3D TV3A ALGORITHMS360 Video3d mapping360x3D scene capture3-D SHAPE RECOVERY3D DISPLAY3D visual representation3D-high efficiency video coding3D Compression and Encryption3D VISUALIZATION3DMM3D reconstruction3D MESH360° STEREO PANORAMAS3D Iterative Halftoning3D-CNN3D Lidar3D Scene Reconstruction3DSR3D displays360-degree video3D communications3D MESHES3D Display360-degree3D Gaussian splatting3D object shape3D Compression3D Computer Graphics3D Models3D Video Conferencing3D Quality360-DEGREE IMAGE360-deg quality assessment3D shape analysis3D MODELLING3-D RECONSTRUCTION3d localization3D RANGE IMAGING3D Image Processing3D SCENE RECONSTRUCTION AND MODELING3D and 2D3D SHAPE INDEXING AND RETRIEVAL3D SALIENCY3D Meshes3D halftoning3D print3-T pixel3D Video3D-human body detection3D recursive search
Large subjectively annotated datasets are crucial to the development and testing of objective video quality measures (VQMs). In this work we focus on the recently released ITS4S dataset. Relying on statistical tools, we show that the content of the dataset is rather heterogeneous
from the point of view of quality assessment. Such diversity naturally makes the dataset a worthy asset to validate the accuracy of video quality metrics (VQMs). In particular we study the ability of VQMs to model the reduction or the increase of the visibility of distortion due to the spatial
activity in the content. The study reveals that VQMs are likely to overestimate the perceived quality of processed video sequences whose source is characterized by few spatial details. We then propose an approach aiming at modeling the impact of spatial activity on distortion visibility when
objectively assessing the visual quality of a content. The effectiveness of the proposal is validated on the ITS4S dataset as well as on the Netflix public dataset.