Fast multiresolution motion estimation algorithms for wavelet-based scalable video coding

Liu, Yu; Ngan, King Ngi

doi:10.1016/j.image.2007.03.001

Cited by 10 publications

(6 citation statements)

References 20 publications

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“…On the other hand, scalable video coding [103], [142] is an emerging trend in numerous multimedia applications with heterogeneous networks, due to their ability to adapt different resolution and quality requirements. Recently, a large body of research has focused on wavelet-based methods [8], [53], [93], [106], where motion compensated temporal filtering (MCTF) is shown to play an essential role in both scalable video coding and still image coding. MCTF is performed either directly on input images, or on their transforms.…”

Section: Related Workmentioning

confidence: 99%

“…Andreopoulos et al [8] defined a complete to overcomplete discrete wavelet transform (CODWT), which avoids inverse DWT generally used to obtain ODWT. More recently, Liu and Ngan [93] use partial distortion search and anisotropic double cross search algorithms with the MCTF method in [8] for a fast motion estimation. Amiot et al [7] perform MCTF for denoising, using dual-tree complex wavelet (DT-CW) coefficients.…”

Section: Related Workmentioning

confidence: 99%

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Motion-Compensated Temporal Filtering for Critically-Sampled Wavelet-Encoded Images

Aydin,

Foroosh

2017

Preprint

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We propose a novel motion estimation/compensation (ME/MC) method for wavelet-based (in-band) motion compensated temporal filtering (MCTF), with application to low-bitrate video coding. Unlike the conventional in-band MCTF algorithms, which require redundancy to overcome the shift-variance problem of critically sampled (complete) discrete wavelet transforms (DWT), we perform ME/MC steps directly on DWT coefficients by avoiding the need of shift-invariance. We omit upsampling, the inverse-DWT (IDWT), and the calculation of redundant DWT coefficients, while achieving arbitrary subpixel accuracy without interpolation, and high video quality even at very low-bitrates, by deriving the exact relationships between DWT subbands of input image sequences. Experimental results demonstrate the accuracy of the proposed method, confirming that our model for ME/MC effectively improves video coding quality.

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Section: Related Workmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

Motion-Compensated Temporal Filtering for Critically-Sampled Wavelet-Encoded Images

Aydin,

Foroosh

2017

Preprint

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“…There are several approaches for parallelizing block matching algorithms in the context of H.264 video compression 26,31 and video retrieval applications. 46 Our intent is to present a summary of our implementation of the Sum of Absolute Differences technique in the context of video registration for completeness in the context of the N-CET motion activity analysis workload study.…”

Section: Registration Using Block Matchingmentioning

confidence: 99%

Multiscale Architectures and Parallel Algorithms for Video Object Tracking

Palaniappan¹

2011

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“…Uncertainty Area In order to overcome the shift-variant property, a low-bandshift method has been proposed [10]. It consits in decomposing the reference image not with the DWT but with the ODWT (Overcomplete Discrete Wavelet Transform).…”

Section: Refinementmentioning

confidence: 99%

“…The prediction errors of the high-band signal makes it difficult to estimate the motion vectors in the wavelet domain when the conventional block-matching is used. Several motion estimation methods in the wavelet domain have been developed [10,11]. Among these, direct band-to-band motion estimation of the wavelet coefficients is not efficient because of the shift-variant property of the DWT.…”

Section: Introductionmentioning

confidence: 99%

Scalable indexing of HD Video

Morand

Benois-Pineau

Domenger

2008

2008 International Workshop on Content-Based Multimedia Indexing

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Video indexing technique is crucial in multimedia applications. In the case of HD (High Definition) Video, the principle of scalability is of great importance. The wavelet decomposition used in the MJPEG2000 provides this property. In this paper, two descriptors for indexing of HD Video are presented. The first one is based on the GM (Global Motion) of the video and the correlation matrix is used as similarity measure for matching. The second one is object-oriented and uses histograms in the wavelet domain as indexes ; similarity measure is then based on histogram intersection. The complete process of extraction of objects of interest and to determine GM are also detailed.

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Fast multiresolution motion estimation algorithms for wavelet-based scalable video coding

Cited by 10 publications

References 20 publications

Motion-Compensated Temporal Filtering for Critically-Sampled Wavelet-Encoded Images

Motion-Compensated Temporal Filtering for Critically-Sampled Wavelet-Encoded Images

Multiscale Architectures and Parallel Algorithms for Video Object Tracking

Scalable indexing of HD Video

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