Feature-based global motion estimation using the Helmholtz principle

Tok, Michael; Glantz, Alexander; Krutz, Andreas; Sikora, Thomas

doi:10.1109/icassp.2011.5946793

Cited by 12 publications

(5 citation statements)

References 7 publications

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“…After obtaining vector (see the right side of Fig. 2), it is possible to determine submatrices ′ , ′ and ′ in equations (11) and (12), by using their width and height, and , respectively, and the small vectors associated with the corner position change of the blue rectangle:…”

Section: B Calculation Of the Gt Parametersmentioning

confidence: 99%

Light Field Image Coding Using High-Order Intrablock Prediction

Monteiro

Nunes

Rodrigues

et al. 2017

IEEE J. Sel. Top. Signal Process.

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This paper proposes a two-stage high order intra block prediction method for light field image coding. This method exploits the spatial redundancy in lenslet light field images by predicting each image block, through a geometric transformation applied to a region of the causal encoded area. Light field images comprise an array of micro-images that are related by complex geometric transformations that cannot be efficiently compensated by state-of-the-art image coding techniques, which are usually based on low order translational prediction models. The two-stage nature of the proposed method allows to choose the order of the prediction model most suitable for each block, ranging from pure translations to projective or bilinear transformations, optimized according to an appropriate rate-distortion criterion. The proposed higher order intra block prediction approach was integrated into an HEVC codec and evaluated for both unfocused and focused light field camera models, using different resolutions and microlens arrays. Experimental results show consistent bitrate savings, which can go up to 12.62%, when compared to a lower order intra block prediction solution and 49.82% when compared to HEVC still picture coding.

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Section: B Calculation Of the Gt Parametersmentioning

confidence: 99%

Light Field Image Coding Using High-Order Intrablock Prediction

Monteiro

Nunes

Rodrigues

et al. 2017

IEEE J. Sel. Top. Signal Process.

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“…Traditional GME methods can generally be divided into pixel based [21], feature based [22], and vector based [23] according to different analysis objects. The performances of these methods were evaluated in [24,25].…”

Section: Related Workmentioning

confidence: 99%

“…With regard to time consumption and according to [21][22][23][24][25], in the computation of the three typical GME methods, the pixel based method is larger than the feature based one, and the feature based method is larger the vector based one. SIFT-GME is a feature-based GME method, and BM-GME is a vectorbased method.…”

Section: Performance Of the Entire Algorithmmentioning

confidence: 99%

Metadata-Assisted Global Motion Estimation for Medium-Altitude Unmanned Aerial Vehicle Video Applications

Li²,

Ding

et al. 2015

Remote Sensing

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Global motion estimation (GME) is a key technology in unmanned aerial vehicle remote sensing (UAVRS). However, when a UAV's motion and behavior change significantly or the image information is not rich, traditional image-based methods for GME often perform poorly. Introducing bottom metadata can improve precision in a large-scale motion condition and reduce the dependence on unreliable image information. GME is divided into coarse and residual GME through coordinate transformation and based on the study hypotheses. In coarse GME, an auxiliary image is built to convert image matching from a wide baseline condition to a narrow baseline one. In residual GME, a novel information and contrast feature detection algorithm is proposed for big-block matching to maximize the use of reliable image information and ensure that the contents of interest are well estimated. Additionally, an image motion monitor is designed to select the appropriate processing strategy by monitoring the motion scales of translation, rotation, and zoom. A medium-altitude UAV is employed to collect three types of large-scale motion datasets. Peak signal to noise ratio (PSNR) and motion scale are computed. This study's result is encouraging and applicable to other medium-or high-altitude UAVs with a similar system structure.

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“…The technique used for global motion estimation is an extension to the authors' previous work [4]. It is a two-step approach that first estimates local translational motion models for good features of a picture.…”

Section: Parametric Motion Estimationmentioning

confidence: 99%

A block-adaptive skip mode for inter prediction basedonparametric motion models

Glantz

Tok

Krutz

et al. 2011

2011 18th IEEE International Conference on Image Processing

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Motion compensated prediction (MCP) in hybrid video coding estimates a translational motion vector for a given block which is then used for residual computation. However, when complex motion like zoom, rotation, and perspective transformation occur, the translational model assumption does not always hold. This may result in higher residual energy and splitting of blocks, respectively. This paper proposes a skip mode based on higher-order parametric motion models. Often, these models provide a better prediction quality resulting in lower residual energy and larger block sizes. The proposed technique estimates a higher-order motion model between two given pictures. The encoder decides in terms of ratedistortion optimization whether to use the new skip mode for a block and therefore not to transfer any additional information like coefficient data. Experimental evaluation shows that the proposed technique can improve the coding performance of next generation video coding standards significantly.

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Feature-based global motion estimation using the Helmholtz principle

Cited by 12 publications

References 7 publications

Light Field Image Coding Using High-Order Intrablock Prediction

Light Field Image Coding Using High-Order Intrablock Prediction

Metadata-Assisted Global Motion Estimation for Medium-Altitude Unmanned Aerial Vehicle Video Applications

A block-adaptive skip mode for inter prediction basedonparametric motion models

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