A robust motion estimation method using warping for video frame enlargement

Chen, Ying; Smith, M.J.T.

doi:10.1109/icassp.2008.4517741

Cited by 2 publications

(3 citation statements)

References 5 publications

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“…To address this distortion, a forward and backward predictive warping algorithm was proposed recently for uncompressed video. 7 Here we extend this approach to video coding where compressed video sequences are decompressed. This situation is different because of coding losses that have occurred before the sequence is post-processed.…”

Section: Bidirectional Warping and Hierarchical Motion Selectionmentioning

confidence: 99%

“…In a recent investigation using forward-backward warping for image enlargement, it was shown that robustness could be improved significantly. 7 With this as motivation, we have developed a forward-backward warping algorithm for enhanced definition H.264/AVC video coding. By using H.264/AVC as the basic building block, we take advantage of technology that has already been well engineered.…”

Section: Introductionmentioning

confidence: 99%

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An approach to enhanced definition video coding using adaptive warping

2009

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Adaptive warping methods for motion estimation and reconstruction at the receiver side have been considered recently for low-bit rate video coding. Such approaches are attractive because they are compatible with the existing MPEG and H.264/AVC standards. This paper follows in that path, introducing an improved method for low bit rate coding of video in which a forward-backward warping algorithm is employed.The base algorithm involves an integration of low and high spatial resolution frames where the low resolution frames are dense in time while the high resolution frames are sparse in time. The forward-backward warping algorithm presented in this paper improves the robustness of the original warping algorithm. Since conventional H.264/AVC is based on macroblocks, block artifacts often surface at low bit rates. The proposed approach tends to eliminate this problem at low bit rates, resulting in improved subjective quality and improved PSNR performance relative to H.264/AVC.

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Section: Bidirectional Warping and Hierarchical Motion Selectionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

An approach to enhanced definition video coding using adaptive warping

2009

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“…In next stage, the enlarged frames are compared against a reference frame. In particular, a dense motion vector field is computed [7,6,8] after which an adaptive warping algorithm is applied to warp the reference frame based on the dense motion vector field associated with each interpolated frame. In the last stage, the warped algorithm is compared with the interpolated image on a pixel-by-pixel basis.…”

Section: Introductionmentioning

confidence: 99%

A Concatenated Model for Video Frame Interpolation

Chen

Smith

2009

2009 IEEE 13th Digital Signal Processing Workshop and 5th IEEE Signal Processing Education Workshop

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A concatenated model for video frame interpolation is presented in this paper. The algorithm involves warping a high resolution reference image in a way that preserves much of the high resolution detail in the sequence. The concatenated model incorporates adaptive bidirectional warping and has the flexibility to incorporate a variety of frame-based interpolation methods within the system. The concatenated system is evaluated using several constituent interpolation methods in conjunction with the adaptive warping. It is shown that high subjective quality and PSNRs can be obtained relative to the benchmark enlargement methods considered.

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A robust motion estimation method using warping for video frame enlargement

Cited by 2 publications

References 5 publications

An approach to enhanced definition video coding using adaptive warping

An approach to enhanced definition video coding using adaptive warping

A Concatenated Model for Video Frame Interpolation

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