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For glasses-free 3-D viewing, autostereoscopic displays provide a dense set of views showing a scene from slightly different viewpoints. As the number of views and their spatial positions are display dependent, a generic depth-enhanced multiview video plus depth format is used for coding and transmission. From this, the required views are generated via depth image-based rendering (DIBR) techniques...
In this paper, a deep convolutional neural network based approach to the problem of automatically recognizing jersey numbers from soccer videos is presented. Two different jersey number vector encoding schemes are presented and compared to each other. The first treats every number as a separate class, while the second one treats each digit as a class. Additionally, the semi-automatic process for the...
Based on the idea to exploit the statistical dependencies from both temporal and inter-view reference pictures for motion compensated prediction this paper presents a systematic evaluation of multi-view video coding with optimized prediction structures. The compression method is based on the multiple reference picture technique in the H.264/AVC video coding standard. The advantages of hierarchical...
This paper presents an efficient approach to measure sharpness mismatches between stereoscopic views. Sharpness mismatch can occur through focus mismatches between stereoscopic cameras, errors in post-processing or even for low-bandwidth transmission, where one view is subsampled or transmitted at a much lower rate. This artifact can lead to a degraded 3D experience for observers. In this paper, the...
Stereoscopic video transmission systems have now evolved from 2D video systems and have been commercialized for a number of application areas, driven by developments in stereo capturing and display technology. With the new developments in autostereoscopic display technology, these stereo systems need to further advance towards 3D video systems. In contrast to all previous video coding technologies,...
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