Optical Flow Approximation of Sub-Pixel Accurate Block Matching for Video Coding

Chi, Y.M.; Tran, Trac D.; Etienne‐Cummings, Ralph

doi:10.1109/icassp.2007.366083

Cited by 20 publications

(8 citation statements)

References 13 publications

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“…To handle this problem in an efficient way, other authors [36,37] proposed a combination of optical flow and block matching to increase the motion vector precision. This approach relies on estimating firstly the motion vector by means of the block matching technique, and then applying a warping [30,31] to the block and computing the optical flow to estimate the sub-pixel information (as shown in Figure 2).…”

Section: Methodsmentioning

confidence: 99%

Arterial Mechanical Motion Estimation Based on a Semi-Rigid Body Deformation Approach

Guzmán

Hamarneh

Ros

et al. 2014

Sensors

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Arterial motion estimation in ultrasound (US) sequences is a hard task due to noise and discontinuities in the signal derived from US artifacts. Characterizing the mechanical properties of the artery is a promising novel imaging technique to diagnose various cardiovascular pathologies and a new way of obtaining relevant clinical information, such as determining the absence of dicrotic peak, estimating the Augmentation Index (AIx), the arterial pressure or the arterial stiffness. One of the advantages of using US imaging is the non-invasive nature of the technique unlike Intra Vascular Ultra Sound (IVUS) or angiography invasive techniques, plus the relative low cost of the US units. In this paper, we propose a semi rigid deformable method based on Soft Bodies dynamics realized by a hybrid motion approach based on cross-correlation and optical flow methods to quantify the elasticity of the artery. We evaluate and compare different techniques (for instance optical flow methods) on which our approach is based. The goal of this comparative study is to identify the best model to be used and the impact of the accuracy of these different stages in the proposed method. To this end, an exhaustive assessment has been conducted in order to decide which model is the most appropriate for registering the variation of the arterial diameter over time. Our experiments involved a total of 1620 evaluations within nine simulated sequences of 84 frames each and the estimation of four error metrics. We conclude that our proposed approach obtains approximately 2.5 times higher accuracy than conventional state-of-the-art techniques.

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Section: Methodsmentioning

confidence: 99%

Arterial Mechanical Motion Estimation Based on a Semi-Rigid Body Deformation Approach

Guzmán

Hamarneh

Ros

et al. 2014

Sensors

View full text Add to dashboard Cite

show abstract

“…One of the inherent limitations of the block matching method is that it is fundamentally limited to an integer pixel resolution. Although several techniques exist for allowing block matching to generate subpixel correspondence fields [34,35], they require either some method of interpolation or borrow elements of optical flow methods, thereby increasing the accuracy but with a penalty of also increasing the run time.…”

Section: Comparison Of Analytic Optical Flow and Block Matching mentioning

confidence: 99%

Efficient method for the determination of image correspondence in airborne applications using inertial sensors

Woods

Katsaggelos

2012

J. Opt. Soc. Am. A

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This paper presents a computationally efficient method for the measurement of a dense image correspondence vector field using supplementary data from an inertial navigation sensor (INS). The application is suited to airborne imaging systems, such as an unmanned air vehicle, where size, weight, and power restrictions limit the amount of onboard processing available. The limited processing will typically exclude the use of traditional, but computationally expensive, optical flow and block matching algorithms, such as Lucas-Kanade, Horn-Schunck, or the adaptive rood pattern search. Alternatively, the measurements obtained from an INS, on board the platform, lead to a closed-form solution to the correspondence field. Airborne platforms are well suited to this application because they already possess INSs and global positioning systems as part of their existing avionics package. We derive the closed-form solution for the image correspondence vector field based on the INS data. We then show, through both simulations and real flight data, that the closed-form inertial sensor solution outperforms traditional optical flow and block matching methods.

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“…The block matching technique realizes the robust optical flow generation when the template contains rich variety data of the image, while the higher computational cost is required, in the former approach [5][6][7] . On the other hand, the gradient-based method requires the lower computational cost than the former one since it is not necessary to search the corresponding points among the sequential images [8][9][10][11][12][13] .…”

Section: Introductionmentioning

confidence: 99%

Optical flow generation in color images with using color derivative vector

Shibata

Ushigome

Ito

2012

2012 12th IEEE International Workshop on Advanced Motion Control (AMC)

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The paper proposes a novel method for estimating the optical flows from the sequentially captured images with using their own color information. The gradient method is well known as one of the conventional methods to estimate the flows, and then the spatial and temporal derivative of the images are used in the method. Since the color images have richer information than the monochrome ones, they should contribute for estimating the more precise optical flows. In our approach, the color derivative vector (CDV) is introduced to bring out the information in the color images for the optical flow estimation. The CDV is derived from the derivatives of color images, and the optimal CDV provides the concrete weighting values of the RGB data. The optimal CDV is obtained with using the eigenvalues and the eigenvectors of the matrix consisting of the spatial and temporal color derivatives.

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Optical Flow Approximation of Sub-Pixel Accurate Block Matching for Video Coding

Cited by 20 publications

References 13 publications

Arterial Mechanical Motion Estimation Based on a Semi-Rigid Body Deformation Approach

Arterial Mechanical Motion Estimation Based on a Semi-Rigid Body Deformation Approach

Efficient method for the determination of image correspondence in airborne applications using inertial sensors

Optical flow generation in color images with using color derivative vector

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