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Frame rate up conversion for multiview video

Authors: Yoonmo Yang; Dohoon Lee; Byung Tae Oh;

Frame rate up conversion for multiview video

Abstract

In this paper, we propose a new frame rate up conversion method for multiview video. The proposed method uses the depth map and neighboring view information for the improvement of motion estimation and compensation accuracy. In details, it decomposes a block into multiple layers with depth map. Then it estimates the occluded regions in the lower layer using their neighboring view information, which consequently leads more accurate motion estimation and compensation. The experimental results show that the proposed method highly improves the quality of the interpolated frames compared to the conventional methods.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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Average
Average
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