Advanced Real-Time Manipulation of Video Streams by Jan Herling

By Jan Herling

Diminished truth is a brand new interesting expertise that gets rid of real-world content material from reside video streams. This sensational dwell video manipulation really gets rid of genuine items and generates a coherent video flow in real-time. audience can't realize transformed content material. latest ways are constrained to relocating items and static or virtually static cameras and don't permit real-time manipulation of video content material. Jan Herling provides a brand new and leading edge strategy for real-time item removing with arbitrary digital camera movements.

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5 Shiratori et al. 2006 Shiratori et al. [90] proposed a video completion approach comparable to the gradient image inpainting approach of Shen et al. [85]. Like the approach of Shen, Shiratori et al. first fill the undesired content using structure information instead of pixel color information. This structure information is then used to determine the final colored inpainting result. Instead of using 2D image patches and image gradients like Shen, 3D image patches and a local motion field are used.

Several user-driven preprocessing steps are necessary to provide information required for those algorithms. A large damage-free portion of the video sequence is needed so that the approaches have enough visual source information for the inpainting of the remaining video stream. Typically, benchmark video sequences have a video resolution not larger than 320 × 240 pixels and are comprised of less then 100 frames. The image regions of objects to be removed are significantly smaller than the regions in comparable benchmark images for static image inpainting.

10). The order of inpainting boundary pixels are selected by a priority mechanism 20 2 Related Work allowing reconstruction of strong edges intersecting the inpainting boundary to be performed first. Priority is determined by the scalar product of the normal vector perpendicular to the inpainting boundary and the orthogonal of the image gradient. 10). Criminisi et al. do not apply any multiresolution approaches, randomized seeking algorithms or information propagation techniques like Demanet et al.

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