2019 IEEE Visual Communications and Image Processing (VCIP) 2019
DOI: 10.1109/vcip47243.2019.8965883
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Reference Picture Synthesis for Video Sequences Captured with a Monocular Moving Camera

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Cited by 4 publications
(8 citation statements)
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“…Unlike [13,[15][16][17], in which a tedious 3D reconstruction has to be done at both encoder and decoder sides, we estimate the 3D geometry here only at the encoder side from raw/uncompressed frames. Using raw frames instead of encoded frames (at the decoder side) can lead to a higher quality 3D geometry estimation.…”
Section: Encodermentioning
confidence: 99%
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“…Unlike [13,[15][16][17], in which a tedious 3D reconstruction has to be done at both encoder and decoder sides, we estimate the 3D geometry here only at the encoder side from raw/uncompressed frames. Using raw frames instead of encoded frames (at the decoder side) can lead to a higher quality 3D geometry estimation.…”
Section: Encodermentioning
confidence: 99%
“…This 3D data is then employed to synthesize additional virtual RPs. Later, two motion compensation schemes based on un-textured 3D meshes [15][16] and point-clouds [17] were introduced. These methods sped up the method in [13] and increased the coding gains by integrating Depth Image-Based Rendering (DIBR) [18] into HEVC.…”
Section: Introductionmentioning
confidence: 99%
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