Object/Target tracking is a crucial component of many vision systems. Object tracking issues are overviewed, e.g., occlusion handling, feature loss, drifting to the backgound. Many approaches regarding person/object detection and tracking in videos have been proposed. In this lecture, video tracking methods using correlation filters or convolutional neural networks are presented, focusing on video trackers… Continue reading 2D Visual Object Tracking
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Motion Estimation
Motion estimation principals will be analyzed. Initiating form 2D and 3D motion models, displacement estimation as well as quality metrics for motion estimation will subsequently be detailed. One of the basic motion estimation techniques, namely block matching, will also be presented, along with three alternative, faster methods. A good overview of deep neural notion estimation… Continue reading Motion Estimation
Fast 3D Convolution algorithms
This lecture overviews Fast 3D Convolution algorithms that has many applications in the fast implementation of 3D image and video filtering, 3D CNNs and motion estimation. It covers the following topics in detail: 3D linear and cyclic convolutions, Fast 3D convolutions by using FFTs, Block-based methods, Optimal Winograd 3D convolutions.
Video Processing and Standards Conversion
This lecture Video Processing and Standards Conversion that has many applications in video denoising, video interpolation and de-interlacing. It covers the following topics in detail: Continouous and discrete multidimensional signals. Multidimensional FIR and IIR Systems. Multidimensional signal transforms (Z transform, DFT) and convolution support. Various types of temporal, spatial, spatiotemporal and adaptive video denoising. Motion-compensated… Continue reading Video Processing and Standards Conversion
Video Quality
This lecture overviews Video Quality that has many applications in cinema movies, digital TV and video streaming. It covers the following topics in detail: Video Quality Assessment Methods. Subjective Quality Assessment: MOS, DMOS and Preference factor (PF). Objective Quality Assessment Metrics: Psychophysical Metrics, Engineering Metrics and Methods (PEVQ, Pixel – based Metrics, VMAF). Camera image quality in cameras.
Moving Image Perception
This lecture overviews Moving Image Perception that has many applications in video acquisition, processing and coding. It covers the following topics in detail: Human Vision Modeling. Video Frequency Content, (spatial, temporal and spatiotemporal frequencies). Spatiotemporal HVS Models (Kelly experiments, spatiotemporal contrast sensitivity, saccadic movements, Smooth eye pursuit movement). Video Quality Assessment.