&lt;title&gt;Entropy criterion for optimal bit allocation between motion and prediction error information&lt;/title&gt;

Moscheni, F.; Dufaux, Frédéric; Nicolas, Henri

doi:10.1117/12.157941

Cited by 30 publications

(48 citation statements)

References 10 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In Refs. [7], [10], [11], the bit-rate models are functions of only quantization step size and parameters, e.g., variance, of a source distribution. However, they share some limitations: 1) the assumed residual probability distribution, e.g., Laplacian distribution, may deviate significantly from the true histogram; 2) the implicit assumption of all transform coefficients being identically distributed is not valid since different coefficient show different variances as shown in our experiment.…”

Section: Introductionmentioning

confidence: 99%

Rate-Distortion Optimized Cross-Layer Rate Control in Wireless Video Communication

Chen

2012

IEEE Trans. Circuits Syst. Video Technol.

View full text Add to dashboard Cite

Abstract-A wireless video communication system can be designed based on the rate-distortion (R-D) criterion, i.e., minimizing the end-to-end distortion (which includes quantization distortion and transmission distortion) subject to the transmission bit-rate constraint. The minimization can be achieved by adjusting the source encoding parameters and channel encoding parameters. This R-D optimization (RDO) is usually done for each video frame individually in a real-time video communication system, e.g. video calls or videoconferencing. To achieve this, an accurate bit-rate model and distortion model for each frame can be used to reduce the RDO complexity. In this paper, we derive a source bit-rate model and quantization distortion model; we also improve the performance bound for channel coding under a convolutional code and a Viterbi decoder, and derive its performance bound under a Rayleigh block fading channel. Given the instantaneous channel condition, e.g., signal-to-noise ratio (SNR) and transmission bit-rate constraint, we design an R-D optimized cross-layer rate control (CLRC) algorithm by jointly choosing quantization step size in source coding and code rate in channel coding. Experimental results show that our proposed R-D models are more accurate than the existing R-D models. Experimental results also showed that the rate control under our models has more stable R-D performance than the existing rate control algorithms; using the channel estimation, CLRC can further achieve remarkable R-D performance gain over that without channel estimation. Another important result is that the subjective quality of our CLRC algorithm is much better than the existing algorithms due to its intelligent reference frame selection.

show abstract

Section: Introductionmentioning

confidence: 99%

Rate-Distortion Optimized Cross-Layer Rate Control in Wireless Video Communication

Chen

2012

IEEE Trans. Circuits Syst. Video Technol.

View full text Add to dashboard Cite

show abstract

“…analytical expression to estimate the entropy of the DFD, namely its coding cost, can be derived [36], [37]. With regard to motion infonnation, its cost is most of the time straightforward and computationally easy to estimate.…”

Section: (Is)mentioning

confidence: 99%

“…Very little research effort has been devoted to this topic in the literature. In this section, a criterion, the so-called entropy criterion, is proposed in order to optimally balance the amount of information corresponding to the prediction error and the representation of the motion [37]. The optimal tradeoff is reached by evaluating the transmission cost relative to both the prediction error and the motion information, and by minimizing the sum.…”

Section: Locally Adaptive Multigrid Block Matching Motion Estimationmentioning

confidence: 99%

“…The entropy criterion aims at the control of the segmen tation in order to reach the optimal bit allocation between motion parameters and DFD information [36], [37]. This criterion compares the extra-cost to send additional motion parameters with the gain obtained on the DFD side to decide whether to split a block.…”

Section: (Is)mentioning

confidence: 99%

“…The algorithm adapts to the spatial content of the scene and thus provides accurate prediction in detailed areas while requiring a reduced amount of overhead information in uniform regions. Furthermore, a criterion is used to optimally balance the motion and the prediction error information [37]. Hence, the algorithm takes into account the global minimization of the sum of the two latter components.…”

mentioning

confidence: 99%

See 2 more Smart Citations

Motion estimation techniques for digital TV: a review and a new contribution

1995

View full text Add to dashboard Cite

The key to high performance in image sequence coding lies in an efficient reduction of the temporal redundancies. For this purpose, motion estimation and compensation techniques have been suc cessfully applied. This paper studies motion estimation algorithms in the context of fi rst generation coding techniques commonly used in digital TV. In this framework, estimating the motion in the scene is not an intrinsic goal. Motion estimation should indeed provide good temporal prediction and simultaneously require low overhead information. More specifically, the aim is to minimize globally the bandwidth corresponding to both the prediction error information and the motion parameters. This paper first clarifies the notion of motion, reviews classical motion estimation tech niques, and outlines new perspectives. Block matching techniques are shown to be the most appropriate in the framework of first generation coding. To overcome the drawbacks characteristic of most block matching techniques, this paper proposes a new locally adaptive multigrid block matching motion estimation technique.This algorithm has been designed taking into account the above aims. It leads to a robust motion field estimation, precise prediction along moving edges and a decreased amount of side information in uniform areas. Furthermore, the algorithm controls the accuracy of the motion estimation procedure in order to optimally balance the amount of information corresponding to the prediction error and to the motion parameters. Experimental results show that the technique results in greatly enhanced visual quality and significant saving in terms of bit rate when compared to classical block matching techniques.

show abstract

Video Coding with R-D Constrained Hierarchical Variable Block Size (VBS) Motion Estimation

Kim

Lee

1998

Journal of Visual Communication and Image Representation

View full text Add to dashboard Cite

<title>Entropy criterion for optimal bit allocation between motion and prediction error information</title>

Cited by 30 publications

References 10 publications

Rate-Distortion Optimized Cross-Layer Rate Control in Wireless Video Communication

Rate-Distortion Optimized Cross-Layer Rate Control in Wireless Video Communication

Motion estimation techniques for digital TV: a review and a new contribution

Video Coding with R-D Constrained Hierarchical Variable Block Size (VBS) Motion Estimation

Contact Info

Product

Resources

About