Medical image encryption using high-speed scrambling and pixel adaptive diffusion

Semantic interpretation of architectural and archaeological geometries: Point cloud segmentation for HBIM parameterisation

Three-dimensional (3-D) video is the next natural step in the evolution of digital media technologies. Recent 3-D autostereoscopic displays can display multiview video with up to 200 views. While it is possible to broadcast 3-D stereo video (two views) over digital TV platforms today, streaming over Internet Protocol (IP) provides a more flexible approach for distribution of stereo and free-view 3-D media to home and mobile with different connection bandwidths and different 3-D displays. Here, flexible transport refers to rate-scalable, resolution-scalable, and view-scalable transport over different channels including digital video broadcasting (DVB) and/or IP. In this paper, we first briefly review the state of the art in 3-D video formats, coding methods for different transport options and video formats, IP streaming protocols, and streaming architectures. We then take a look at beyond the state of the art in 3-D video transport research, including asymmetric stereoscopic video streaming, adaptive and peer-to-peer (P2P) streaming of multiview video, view-selective streaming and future directions in broadcast of 3-D media over IP and jointly over DVB and IP.

Flexible Transport of 3-D Video Over Networks

Incremental and batch planar simplification of dense point cloud maps

Three-dimensional (3-D) video is the next natural step in the evolution of digital media technologies. Recent 3-D autostereoscopic displays can display multiview video with up to 200 views. While it is possible to broadcast 3-D stereo video (two views) over digital TV platforms today, streaming over Internet Protocol (IP) provides a more flexible approach for distribution of stereo and free-view 3-D media to home and mobile with different connection bandwidths and different 3-D displays. Here, flexible transport refers to rate-scalable, resolution-scalable, and view-scalable transport over different channels including digital video broadcasting (DVB) and/or IP. In this paper, we first briefly review the state of the art in 3-D video formats, coding methods for different transport options and video formats, IP streaming protocols, and streaming architectures. We then take a look at beyond the state of the art in 3-D video transport research, including asymmetric stereo- scopic video streaming, adaptive and peer-to-peer (P2P) streaming of multiview video, view-selective streaming and future directions in broadcast of 3-D media over IP and jointly over DVB and IP.

Flexible Transport of 3-D Video Over Networks The authors of this paper look at the future of video transport and see developments such as stereoscopic video, streaming of multiview video, and view-selective streaming.

Interactive free-viewpoint selection applied to a 3D multi-view signal is a possible attractive feature of the
rapidly developing 3D TV media. This paper explores a new rendering algorithm that computes a free-viewpoint
based on depth image warping between two reference views from existing cameras. We have developed three
quality enhancing techniques that specifically aim at solving the major artifacts. First, resampling artifacts are
filled in by a combination of median filtering and inverse warping. Second, contour artifacts are processed while
omitting warping of edges at high discontinuities. Third, we employ a depth signal for more accurate disocclusion
inpainting. We obtain an average PSNR gain of 3 dB and 4.5 dB for the 'Breakdancers' and 'Ballet' sequences,
respectively, compared to recently published results. While experimenting with synthetic data, we observe that
the rendering quality is highly dependent on the complexity of the scene. Moreover, experiments are performed
using compressed video from surrounding cameras. The overall system quality is dominated by the rendering
quality and not by coding.

Quality improving techniques for free-viewpoint DIBR

This paper evaluates our 3D view interpolation rendering algorithm and proposes a few performance improving techniques. We aim at developing a rendering method for free-viewpoint 3DTV, based on depth image warping from surrounding cameras. The key feature of our approach is warping texture and depth in the first stage simultaneously and postpone blending the new view to a later stage, thereby avoiding errors in the virtual depth map. We evaluate the rendering quality in two ways. Firstly, it is measured by varying the distance between the two nearest cameras. We have obtained a PSNR gain of 3 dB and 4.5 dB for the ‘Breakdancers’ and ‘Ballet’ sequences, respectively, compared to the performance of a recent algorithm. A second series of tests in measuring the rendering quality were performed using compressed video or images from surrounding cameras. The overall quality of the system is dominated by rendering quality and not by coding.

/pdf/quality-improving-techniques-in-dibr-for-free-viewpoint-5eumqjka2i.pdf

Quality improving techniques in DIBR for free-viewpoint video

Free-Viewpoint Video (FVV) is a novel technique which creates virtual images of multiple direction by view synthesis. In this paper, an exemplar-based depth-guided inpainting algorithm is proposed to fill disocclusions due to uncovered areas after projection. We develop an improved priority function which uses the depth information to impose a desirable inpainting order. We also propose an efficient background-foreground separation technique to enhance the accuracy of hole filling. Furthermore, a gradient-based searching approach is developed to reduce the computational cost and the location distance is incorporated into patch matching criteria to improve the accuracy. The experimental results have shown that the gradient-based search in our algorithm requires a much lower computational cost (factor of 6 compared to global search), while producing significantly improved visual results.

/pdf/depth-guided-inpainting-algorithm-for-free-viewpoint-video-padr7tdrof.pdf

Depth-guided inpainting algorithm for Free-Viewpoint Video

Three-dimensional (3D) models of environments are a promising technique for serious gaming and professional engineering applications. In this paper, we introduce a fast and memory-efficient system for the reconstruction of large-scale environments based on point clouds. Our main contribution is the emphasis on the data processing of large planes, for which two algorithms have been designed to improve the overall performance of the 3D reconstruction. First, a flatness-based segmentation algorithm is presented for plane detection in point clouds. Second, a quadtree-based algorithm is proposed for decimating the point cloud involved with the segmented plane and consequently improving the efficiency of triangulation. Our experimental results have shown that the proposed system and algorithms have a high efficiency in speed and memory for environment reconstruction. Depending on the amount of planes in the scene, the obtained efficiency gain varies between 20% and 50%.

Plane segmentation and decimation of point clouds for 3D environment reconstruction

Interactive free-viewpoint selection applied to a 3D multi-view video signal is an attractive feature of the rapidly developing 3DTV media. In recent years, significant research has been done on free-viewpoint rendering algorithms which mostly have similar building blocks. In this paper, we analyze the four principal building blocks of most recent rendering algorithms and their contribution to the overall rendering quality. We have discovered that the rendering quality is dominated by the first step, Warping which determines the basic quality level of the complete rendering chain. The third step, Blending, is a valuable step which further increases the rendering quality by as much as 1.4 dB while reducing the disocclusions to less than 1% of the total image. Varying the angle between the two reference cameras, we notice that the quality of each principal building block degrades with a similar rate, 0.1–0.3dB/degree for real-life sequences. While experimenting with synthetic data of higher accuracy, we conclude that for developing better free-viewpoint algorithms, it is necessary to generate depth maps with more quantization levels so that the Warping and Blending steps can further contribute to the quality enhancement.

/pdf/objective-quality-analysis-for-free-viewpoint-dibr-20t8k3w929.pdf

Objective quality analysis for free-viewpoint DIBR

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