Rate-Distortion Based Video Compression

Schuster, G.M.; Katsaggelos, Aggelos K.

doi:10.1007/978-1-4757-2566-7

Cited by 160 publications

(62 citation statements)

References 0 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The quantizers based on the minimization of the MSE end with non-uniform quantization solutions based on the marginal PDFs [3,53] or some modification of them including the perceptual metric [17,[33][34][35]. However, it has been suggested that constraining the Maximum Perceptual Error (MPE) may be better than minimizing its average [33][34][35]54]. This is because the important issue is not minimizing the average error across the regions but minimizing the annoyance in every quantized region.…”

Section: A Quantizer Designmentioning

confidence: 99%

Nonlinear image representation for efficient perceptual coding

Malo

Epifanio

Navarro³

et al. 2006

IEEE Trans. on Image Process.

125

View full text Add to dashboard Cite

Abstract-Image compression systems commonly operate by transforming the input signal into a new representation whose elements are independently quantized. The success of such a system depends on two properties of the representation. First, the coding rate is minimized only if the elements of the representation are statistically independent. Second, the perceived coding distortion is minimized only if the errors in a reconstructed image arising from quantization of the different elements of the representation are perceptually independent. We argue that linear transforms cannot achieve either of these goals, and propose instead an adaptive non-linear image representation in which each coefficient of a linear transform is divided by a weighted sum of coefficient amplitudes in a generalized neighborhood. We then show that the divisive operation greatly reduces both the statistical and the perceptual redundancy amongst representation elements. We develop an efficient method of inverting this transformation, and we demonstrate through simulations that the dual reduction in dependency can greatly improve the visual quality of compressed images.

show abstract

Section: A Quantizer Designmentioning

confidence: 99%

Nonlinear image representation for efficient perceptual coding

Malo

Epifanio

Navarro³

et al. 2006

IEEE Trans. on Image Process.

125

View full text Add to dashboard Cite

show abstract

“…Most of the recent work on motion estimation for video coding has been focused on the adaptation of the motion estimate to a given quantizer to obtain an good balance between these elements. Since the introduction of the intuitive (suboptimal) entropy-constrained motion estimation of Dufaux et al [7], [8] several optimal, variable-size BMAs have been proposed [9]- [12]. These approaches put forward their intrinsic optimality, but the corresponding visual effect and the relative importance of the motion improvements versus the quantizer improvements have not been deeply explored, mainly because of their subjective nature.…”

mentioning

confidence: 99%

Perceptual feedback in multigrid motion estimation using an improved DCT quantization

Malo

Gutiérrez

Epifanio

et al. 2001

IEEE Trans. on Image Process.

View full text Add to dashboard Cite

Abstract-In this paper, a multigrid motion compensation video coder based on the current human visual system (HVS) contrast discrimination models is proposed. A novel procedure for the encoding of the prediction errors has been used. This procedure restricts the maximum perceptual distortion in each transform coefficient. This subjective redundancy removal procedure includes the amplitude nonlinearities and some temporal features of human perception. A perceptually weighted control of the adaptive motion estimation algorithm has also been derived from this model. Perceptual feedback in motion estimation ensures a perceptual balance between the motion estimation effort and the redundancy removal process. The results show that this feedback induces a scaledependent refinement strategy that gives rise to more robust and meaningful motion estimation, which may facilitate higher level sequence interpretation. Perceptually meaningful distortion measures and the reconstructed frames show the subjective improvements of the proposed scheme versus an H.263 scheme with unweighted motion estimation and MPEG-like quantization.Index Terms-Entropy constrained motion estimation, nonlinear human vision model, perceptual quantization, video coding.

show abstract

“…Now the constraint optimization in Eq. 3 becomes an unconstraint optimization problem which is easier to solve; [10], [11], [12], [13]. From R-D models, having the rates…”

Section: Bit Rate Allocation By Lagrangian Optimizationmentioning

confidence: 99%

Bit rate optimization for multi-point video conferencing using embedded zero tree coding

ILGIN¹

2006

Communications, Faculty of Science, University of Ankara

View full text Add to dashboard Cite

Bit rate optimization of composited video frames for multi-point video conferencing is implemented. Rate control problems can be generally characterized as the determination of the appropriate coding parameters by pre-coding and decoding processes so that the decoded video quality is optimized according to a certain bit rate. By using zerotree coding we obtain exact target bit rate. In order to obtain best quality for a video, target bit rate is allocated to each video frame optimally by using convex rate-distortion model and Lagrangian optimization.

show abstract

Rate-Distortion Based Video Compression

Cited by 160 publications

References 0 publications

Nonlinear image representation for efficient perceptual coding

Nonlinear image representation for efficient perceptual coding

Perceptual feedback in multigrid motion estimation using an improved DCT quantization

Bit rate optimization for multi-point video conferencing using embedded zero tree coding

Contact Info

Product

Resources

About