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Добірка наукової літератури з теми "Multiresolution motion estimation"

Автор: Grafiati
Опубліковано: 10 грудня 2022
Оновлено: 28 січня 2023

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Статті в журналах з теми "Multiresolution motion estimation"

1

Leconge, Re´my. "Methods cooperation for multiresolution motion estimation." Optical Engineering 41, no. 2 (February 1, 2002): 435. http://dx.doi.org/10.1117/1.1428740.

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2

Zan, J., M. O. Ahmad, and M. N. S. Swamy. "Comparison of wavelets for multiresolution motion estimation." IEEE Transactions on Circuits and Systems for Video Technology 16, no. 3 (March 2006): 439–46. http://dx.doi.org/10.1109/tcsvt.2005.857302.

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3

Zan, J., M. O. Ahmad, and M. N. S. Swamy. "A multiresolution motion estimation technique with indexing." IEEE Transactions on Circuits and Systems for Video Technology 16, no. 2 (February 2006): 157–65. http://dx.doi.org/10.1109/tcsvt.2005.857304.

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4

Mandal, Mrinkal Kr. "Multiresolution motion estimation techniques for video compression." Optical Engineering 35, no. 1 (January 1, 1996): 128. http://dx.doi.org/10.1117/1.600883.

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5

Song, Shuwu, Mengyang Liao, and Jamei Qin. "Multiresolution image motion detection and displacement estimation." Machine Vision and Applications 3, no. 1 (December 1990): 17–20. http://dx.doi.org/10.1007/bf01211449.

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6

Blanc-Feraud, Laure. "Motion estimation involving discontinuities in multiresolution scheme." Optical Engineering 32, no. 7 (1993): 1475. http://dx.doi.org/10.1117/12.138647.

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7

Odobez, J. M., and P. Bouthemy. "Robust Multiresolution Estimation of Parametric Motion Models." Journal of Visual Communication and Image Representation 6, no. 4 (December 1995): 348–65. http://dx.doi.org/10.1006/jvci.1995.1029.

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8

Goh, W. "Model-Based Multiresolution Motion Estimation in Noisy Images." Computer Vision and Image Understanding 59, no. 3 (May 1994): 307–19. http://dx.doi.org/10.1006/cviu.1994.1025.

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9

Goh, W. B., and G. R. Martin. "Model-Based Multiresolution Motion Estimation in Noisy Images." CVGIP: Image Understanding 59, no. 3 (May 1994): 307–19. http://dx.doi.org/10.1006/ciun.1994.1021.

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10

CAI, WEITING, and MALEK ADJOUADI. "DESIGN AND IMPLEMENTATION OF WAVELET-DOMAIN VIDEO COMPRESSION USING MULTIRESOLUTION MOTION ESTIMATION AND COMPENSATION." International Journal of Image and Graphics 06, no. 04 (October 2006): 533–49. http://dx.doi.org/10.1142/s0219467806002471.

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Анотація:
Video compression techniques have been applied routinely in order to conserve storage space and minimize bandwidth utilization in various video applications. To reduce inter-pixel redundancies inside and between video frames, video codecs (coder/decoder or compression/decompression) are mainly characterized by applying motion estimation and motion compensation (MEMC) in combination with discrete cosine transform (DCT). However, blocking artifacts are obvious from the block-based motion estimation and transformation, especially at low bit rates. Due to the intrinsic advantages of multiresolution and scalability of discrete wavelet transform (DWT), video compression techniques have been infused with exciting prospects by the beneficial integration of motion estimation and wavelet transformation. The contributions of this paper are in (1) proposing a design architecture of the wavelet-domain encoder and decoder; (2) implementing the multiresolution motion estimation and compensation method; and in (3) realizing the dynamic entropy encoding and decoding, so as to achieve more efficient video compression than the conventional spatial domain methods for low bit rate applications without the annoying blocking artifacts.
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Більше джерел

Дисертації з теми "Multiresolution motion estimation"

1

Kruger, Stefan A. "Motion analysis and estimation using multiresolution affine models." Thesis, University of Bristol, 1998. http://hdl.handle.net/1983/f1c3201e-cc47-4064-a897-5264498767bf.

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Vapillon, Alexis. "Mesure et analyse de la déformation : du contour à l'image." Université Joseph Fourier (Grenoble), 1999. http://www.theses.fr/1999GRE10110.

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Cette thèse concerne la mesure et l'analyse de la déformation de contours et d'images. Elle comporte trois parties. Dans la première partie nous présentons un algorithme d'appariement point à point de contours, fondé sur une analyse multirésolution de la courbure. Cette approche permet de tenir compte aussi bien de la forme globale que des détails locaux avec la seule mesure de courbure. Ainsi nous pouvons mesurer des déformations très importantes, en particulier ayant une forte composante rotationnelle. La seconde partie présente des outils d'analyse du résultat de l'appariement, ce dernier étant équivalent au champ de mouvement du contour. Nous utilisons une représentation originale de la déformation, spécifique aux contours, qui nous permet d'analyser simplement et efficacement les mouvement solides et articulés. Pour les mouvements plus complexes, elle nous permet de développer les notions d'analyse fréquentielle et de filtrage de la déformation. Dans la dernière partie nous proposons une approche originale de la mesure du mouvement entre deux images. Son principe est de réduire la complexité du problème en limitant dans un premier temps la mesure à un contour particulier par appariement point à point. Nous en déduisons une estimation du champ de mouvement complet par interpolation, estimation finalement corrigée par un algorithme classique de mesure du mouvement. Cette approche, qui nécessite l'obtention d'un contour significatif, permet de mesurer des déformations d'amplitude très importante grâce aux performances de l'algorithme d'appariement
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3

Hsu, Chin-Hsun, and 許進順. "Hierarchical SDD Metric and Multiresolution Motion Estimation." Thesis, 2002. http://ndltd.ncl.edu.tw/handle/46155879346518040284.

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Анотація:
碩士
國立中山大學
資訊工程學系研究所
90
In this paper a novel Hierarchical Sum of Double Difference metric, HSDD, was introduced. It was shown, as opposed to conventional Sum of Absolute Difference (SAD) metric, how this embedded-coding aware metric can jointly constrain the motion vector searching in both temporal and spatial (quad-tree) directions under multiresolution motion estimation (MRME) framework. The temporal-spatial co-optimization concept from HSDD brings us the motion compensation pyramid with better shape. The reward is that fewer bits are spent later for describing the isolated zeros. The compression performance of HSDD easily exceeds the performance of its competitors, especially when high compression ratios are used.
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4

Liao, Wei-Ting, and 廖尉廷. "A Multiresolution Motion Estimation Technique with Modified Two-Step Thresholding." Thesis, 2006. http://ndltd.ncl.edu.tw/handle/17639383490204280234.

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Анотація:
碩士
國立成功大學
電腦與通信工程研究所
94
A video compression algorithm based on the wavelet transform and multiresolution motion estimation (MRME) was proposed by Zhang and Zafar. As compared to conventional block matching algorithm, it reduces the computational load and exploits the efficient representation provided by the wavelet transform. In the MRME technique, the full search algorithm (FSA) is used to search the correct motion vectors in subimages. However, it is could not always find a good match. A new MRME has been proposed by Jinwen Zan. In the technique, the mismatched blocks are discarded by a thresholding. But the motion estimation is only implemented in the lowest resolution subimage. This results the deterioration of the quality of the reconstructed images. We take the advantages of both of the above algorithms. We modify the new MRME technique by using a two-step thresholding for estimating the motion vectors. In the first step, the first threshold is used to determine if the motion vectors need to be refined with further searching. In the second step, if the dissimilarity between the block and the matched block is greater than the second threshold, the block is labeled as intracoded. Via the proposed algorithm, different computational efforts can be made for regions having different complexity of motion and thus saving computation of motion estimation. Besides, the mismatched block can be discarded and thus improving the motion estimation performance. The experiments have shown better results from several test video sequences with various motion characteristics. The proposed algorithm gives a PSNR of about 0.2 - 0.7 dB better than either MRME or new MRME. The processing time of new MRME is about 78% less than that of MRME. And the processing time of the proposed algorithm is about 20% - 50% less than that of MRME.
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5

Veerapandian, Lakshmi. "A spatial scalable video coding with selective data transmission using wavelet decomposition." Thesis, 2010. http://hdl.handle.net/2440/61956.

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Анотація:
In this research a scalable video coding framework is proposed, mainly focusing on spatial scalability, and a subjective data compression algorithm based on: (1) quality, (2) resolution (target output device), and (3) bandwidth. This framework enables the scalable delivery of video based on the output display resolution, and through a congested network or limited bandwidth with an acceptable visual quality. In order to achieve this scalable framework we have used wavelets, for greater flexibility, and a multiresolution approach. The multiresolution motion estimation (MRME) provides the reusability of motion vectors across different resolution levels. In MRME the motion estimation, which is carried out in the wavelet domain, is initially performed in the lower resolution and the resultant motion vectors are used as a basic motion estimate in other higher resolutions. The translation of motion vectors across different resolution levels results in translation error or mismatches. These mismatches are identified using a novel approach, which uses two thresholds. The first threshold is used to determine the possible occurrence of mismatches in a given video frame subject to the motion in the previous frame. This helps to give a broader location of all the mismatches in general. In order to specifically focus on the worst mismatches among them another threshold is used. This gives a more accurate identification of the mismatches that definitely need to be handled while the others can be waived depending upon the available resources. By varying these two parameters, the quality and resolution of the video can be adjusted to suit the bandwidth requirements. The next step is about handling the identified mismatches. The refinements are handled in any of the following two ways: by using motion vector correction, which gives improved prediction, or by using the directly replacing the error block. We have also presented a brief comparative study of the two error correction methods, discussing their benefits and drawbacks. The methods used here give a precise motion estimate thereby utilizing the temporal redundancy in an efficient manner and providing an effective scalability solution. This scalable framework is useful to provide a flexible multiresolution adaptation to various network and terminal capabilities, to provide quality degradation during severe network conditions, and to provide better error robustness.
Thesis (M.Eng.Sc.) -- University of Adelaide, School of Electrical and Electronic Engineering, 2010
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Книги з теми "Multiresolution motion estimation"

1

Kalmoun, El Mostafa, Azizan Saaban, Haslinda Ibrahim, Razamin Ramli, and Zurni Omar. Multilevel Optimization for Dense Motion Estimation. UUM Press, 2012. http://dx.doi.org/10.32890/9789670474274.

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This monograph offers design for fast and reliable technique in the dense motion estimation. This Multilevel Optimization for Dense Motion Estimation work blends both theory and applications to equip reader with an understanding of basic concepts necessary to apply in solving dense motion in a sequence of images. Illustrating well-known variation models for dealing with optical flow estimation, this monograph introduces variation models with applications. A host of variation models are outlines such as Horn-Schunck model, Contrast Invariation Models and Models for Large Displacement. Special attention is also given to multilevel optimization techniques namely multiresolution and multigrid methods to improve the convergence of the global optimum when compared to using only one level resolution in the context of computer vision. This monograph is a robust resource that provides insightful introduction to the field of image processing with its theory and applications. Overall, Multilevel Optimization for Dense Motion Estimation is highly recommended for scientists and engineers for an excellent choice for references and self-study.
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Частини книг з теми "Multiresolution motion estimation"

1

Daniel, M. M., and A. S. Willsky. "Modeling and Estimation of Fractional Brownian Motion using Multiresolution Stochastic Processes." In Fractals in Engineering, 124–37. London: Springer London, 1997. http://dx.doi.org/10.1007/978-1-4471-0995-2_11.

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2

Bober, Mirosław, and Josef Kittler. "Combining the hough transform and multiresolution MRF's for the robust motion estimation." In Recent Developments in Computer Vision, 91–100. Berlin, Heidelberg: Springer Berlin Heidelberg, 1996. http://dx.doi.org/10.1007/3-540-60793-5_65.

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3

Mahajan, Rohini, and Devanand. "Multiresolution Adaptive Threshold Based Segmentation of Real-Time Vision-Based Database for Human Motion Estimation." In Rising Threats in Expert Applications and Solutions, 503–13. Singapore: Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-6014-9_60.

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4

Auvray, Vincent, Jean Liénard, and Patrick Bouthemy. "Multiresolution Parametric Estimation of Transparent Motions and Denoising of Fluoroscopic Images." In Lecture Notes in Computer Science, 352–60. Berlin, Heidelberg: Springer Berlin Heidelberg, 2005. http://dx.doi.org/10.1007/11566489_44.

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Тези доповідей конференцій з теми "Multiresolution motion estimation"

1

Illgner, Klaus, Werner Praefcke, and Frank Mueller. "Multiresolution motion estimation." In Electronic Imaging: Science & Technology, edited by Robert L. Stevenson and M. Ibrahim Sezan. SPIE, 1996. http://dx.doi.org/10.1117/12.234738.

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2

Gorsich, David J., Robert E. Karlsen, and Grant R. Gerhart. "Multiresolution-based motion estimation." In AeroSense '97, edited by Wendell R. Watkins and Dieter Clement. SPIE, 1997. http://dx.doi.org/10.1117/12.276684.

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3

Tsai, Augustine, Stephen M. Wiener, and Joseph Wilder. "Error concealment using multiresolution motion estimation." In Photonics East '95, edited by Bruce G. Batchelor, Susan S. Solomon, and Frederick M. Waltz. SPIE, 1995. http://dx.doi.org/10.1117/12.223993.

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4

Karlsen, Robert E., David J. Gorsich, and Grant R. Gerhart. "Multiresolution motion estimation and target detection." In Aerospace/Defense Sensing and Controls, edited by Wendell R. Watkins and Dieter Clement. SPIE, 1998. http://dx.doi.org/10.1117/12.327150.

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5

Calvagno, Giancarlo, R. Rinaldo, and Luciano M. Sbaiz. "Multiresolution motion estimation for the MPEG coder." In Electronic Imaging: Science & Technology, edited by Vasudev Bhaskaran, Frans Sijstermans, and Sethuraman Panchanathan. SPIE, 1996. http://dx.doi.org/10.1117/12.235408.

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6

Kruger, S. "Motion estimation and tracking using multiresolution affine models." In IEE Colloquium on Motion Analysis and Tracking. IEE, 1999. http://dx.doi.org/10.1049/ic:19990577.

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7

Rhee, I. "A multiresolution block matching technique for image motion estimation." In IEE Colloquium on `Multiresolution Modelling and Analysis in Image Processing and Computer Vision'. IEE, 1995. http://dx.doi.org/10.1049/ic:19950502.

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8

Jinwen Zan, Ahmad, and Swamy. "Wavelet-based multiresolution motion estimation through median filtering." In IEEE International Conference on Acoustics Speech and Signal Processing ICASSP-02. IEEE, 2002. http://dx.doi.org/10.1109/icassp.2002.1004610.

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Zan, Jinwen, M. Omair Ahmad, and M. N. S. Swamy. "Wavelet-based multiresolution motion estimation through median filtering." In Proceedings of ICASSP '02. IEEE, 2002. http://dx.doi.org/10.1109/icassp.2002.5745352.

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Barlaud, Michel, Laure Blanc-Feraud, and Jean-Marc Collin. "Motion estimation involving discontinuities in a multiresolution scheme." In Applications in Optical Science and Engineering, edited by Petros Maragos. SPIE, 1992. http://dx.doi.org/10.1117/12.131469.

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