A new parameter estimator based on the Helmholtz principle

Felip, R.L.; Binefa, Xavier; Diaz-Caro, Jose

doi:10.1109/icip.2005.1530303

Cited by 10 publications

(5 citation statements)

References 8 publications

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“…Rejecting such outliers is the task of robust estimators. We use a modified version of the Helmholtz Tradeoff Estimator first described in [7]. It evaluates randomly selected subsets from a dataset.…”

Section: Model Estimationmentioning

confidence: 99%

Feature-based global motion estimation using the Helmholtz principle

Tok

Glantz

Krutz

et al. 2011

2011 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)

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Global motion estimation is an important task for various video processing techniques. The estimation itself has to be robust in presence of arbitrarily moving foreground objects. For that task, two different kinds of estimation methods exist. On the one hand, pixel-based approaches deliver more precise results and work more robust on video sequences with foreground objects. On the other hand, when working on encoded video streams, block-based methods can be used for a much faster but often less precise estimation. We propose a two step estimation method based on the determination and tracking of feature points of video frames and robust motion model estimation using the Helmholtz principle. Therefore, good trackable features are detected and tracked in video sequences. Subsequently, a perspective motion model is derived from the resulting correspondencies by removing feature pairs not belonging to global motion.

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Section: Model Estimationmentioning

confidence: 99%

Feature-based global motion estimation using the Helmholtz principle

Tok

Glantz

Krutz

et al. 2011

2011 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)

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“…Find correspondent features between the current frame and the reference frame using KLT (Kanade-Lucas-Tomasi) algorithm; 2. Estimate the parametric model of movement through a method based on the Helmholtz principle [22] using the correspondent points;…”

Section: Picture-level Approachesmentioning

confidence: 99%

Disparity compensation using geometric transforms

Monteiro

Rodrigues

Faria

2014

2014 3dtv-Conference: The True Vision - Capture, Transmission and Display of 3D Video (3dtv-Con)

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“…It is a two-step approach that first estimates local translational motion models for good features of a picture. It then estimates a parametric motion model using the tracked feature correspondencies between two given pictures of a video sequence with a modified version of a highly robust regression method based on the Helmholtz principle [5]. A block diagram of the technique is shown in Figure 1.…”

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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A new parameter estimator based on the Helmholtz principle

Cited by 10 publications

References 8 publications

Feature-based global motion estimation using the Helmholtz principle

Feature-based global motion estimation using the Helmholtz principle

Disparity compensation using geometric transforms

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

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