High Quality Spatial Interpolation of Video Frames using an Adaptive Warping Method

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

doi:10.1109/dspws.2006.265426

Cited by 4 publications

(3 citation statements)

References 5 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…An improved method for performing video frame interpolation is presented in this paper that builds on work reported during the last DSP Workshop [6], where a method was proposed that employs a modified adaptive control grid approach based on the optical flow equation and block motion estimation. The specific problem addressed is interpolating N x M video frames, denoted X k , to a frame size of 2N x 2M .…”

Section: Introductionmentioning

confidence: 98%

“…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%

See 1 more Smart Citation

A Concatenated Model for Video Frame Interpolation

Chen

Smith

2009

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

Self Cite

View full text Add to dashboard Cite

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.

show abstract

Section: Introductionmentioning

confidence: 98%

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

Self Cite

View full text Add to dashboard Cite

show abstract

“…Augmenting the spatially decimated frames is an N -to-1 temporally decimated sequence of high spatial resolution reference frames (where N is large). A key aspect of the proposed coding scheme is an adaptive warping method 7,8 which is used to perform motion estimation and reconstruction at the receiver side. The approach is shown to yield improved subjective quality for sequences with low to moderate motion and high spatial detail.…”

Section: Introductionmentioning

confidence: 99%

A low bit-rate video coding approach using modified adaptive warping and long-term spatial memory

et al. 2007

Self Cite

View full text Add to dashboard Cite

In this paper, an H.264/AVC video coding strategy is introduced that employs a spatial-temporal video sequence representation in which video frames are coded at a low spatial sampling rate and reference I frames are coded at high spatial resolution. High spatial frequency information is re-synthesized at the receiver side using an adaptive motion estimation and warping method. The approach as presented is shown to improve coding quality for sequences with low to moderate motion.

show abstract