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3D scene reconstruction from multi-view images has many practical applications, including games, virtual/augmented reality, and digital archives of cultural heritage. In this paper, we introduce a new application in video compression. The proposed idea is to have the decoder reconstruct a 3D scene model based on a subset of decoded frames and then reproject the 3D model to 2D for prediction or reconstruction...
While the translational motion model remains predominant in motion compensation, better coding efficiency can be achieved by applying a higher order motion model in cases of non-translationally moving video content. But so far, temporal motion vector prediction has not been fully optimized in case of higher order motion compensation. In particular, if the motion model provided by the reference picture...
Conventionally, complex motion in video sequences is approximated by smaller block units in order to be representable by a translational motion model. This approximation results in a fine block partitioning and a high prediction error, both at cost of more data rate than potentially necessary. A worthwhile data reduction has been shown to be achievable by adding a higher order motion model to the...
In this paper we propose an enhancement to HEVC that allows the usage of homographies for motion compensation between temporally far distant frames. First, we show the benefit of using homographies compared to block-based motion compensation, particularly for long-term motion compensation in the presence of zoom. Then we demonstrate that beyond the case where content is temporally repeated, long-term...
We investigate SNR scalable video coding based on motion compensated temporal prediction with hierarchical B pictures. This structure is a fundamental part of the scalable extension of H.264/AVC (SVC), which is currently under standardization. Due to SNR scalability, reconstruction of inter blocks may cause error accumulation within the B picture hierarchy, which is called the drift effect. In this...
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