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Relevant bibliographies by topics / Image motion / Dissertations / Theses

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Dissertations / Theses on the topic 'Image motion'

Author: Grafiati

Published: 4 June 2021

Last updated: 31 January 2023

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1

Hillman, Peter. "Segmentation of motion picture images and image sequences." Thesis, University of Edinburgh, 2002. http://hdl.handle.net/1842/15026.

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For Motion Picture Special Effects, it is often necessary to take a source image of an actor, segment the actor from the unwanted background, and then composite over a new background. The resultant image appears as if the actor was filmed in front of the new background. The standard approach requires the unwanted background to be a blue or green screen. While this technique is capable of handling areas where the foreground (the actor) blends into the background, the physical requirements present many practical problems. This thesis investigates the possibility of segmenting images where the un

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2

Cheng, Xin. "Feature-based motion estimation and motion segmentation." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1999. http://www.collectionscanada.ca/obj/s4/f2/dsk1/tape7/PQDD_0016/MQ55493.pdf.

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3

Tweed, David S. "Motion segmentation across image sequences." Thesis, University of Bristol, 2001. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.364960.

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4

Chua, Collin. "Re-sounding images: sound and image in an audiovisual age." Thesis, Chua, Collin (2007) Re-sounding images: sound and image in an audiovisual age. PhD thesis, Murdoch University, 2007. https://researchrepository.murdoch.edu.au/id/eprint/657/.

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This dissertation examines the evolving articulation of sound and image in contemporary culture, with particular reference to film. It argues that sound and image have undergone a historical machined separation, followed by a machined fusion or recombination. The machined fusion of sound and image has enabled the creation of soundful images, which are more than simply the sum of their parts. Through the infusion of sound, images are now routinely reinforced with a performed sense of presence, where they are made to sound more real, more powerful, more authentic. Through association with the im

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5

Chua, Collin. "Re-sounding images : sound and image in an audiovisual age /." Chua, Collin (2007) Re-sounding images: sound and image in an audiovisual age. PhD thesis, Murdoch University, 2007. http://researchrepository.murdoch.edu.au/657/.

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This dissertation examines the evolving articulation of sound and image in contemporary culture, with particular reference to film. It argues that sound and image have undergone a historical machined separation, followed by a machined fusion or recombination. The machined fusion of sound and image has enabled the creation of soundful images, which are more than simply the sum of their parts. Through the infusion of sound, images are now routinely reinforced with a performed sense of presence, where they are made to sound more real, more powerful, more authentic. Through association with the im

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6

Reza-Alikhani, Hamid-Reza. "Motion compensation for image compression : pel-recursive motion estimation algorithm." Thesis, Loughborough University, 2002. https://dspace.lboro.ac.uk/2134/33721.

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In motion pictures there is a certain amount of redundancy between consecutive frames. These redundancies can be exploited by using interframe prediction techniques. To further enhance the efficiency of interframe prediction, motion estimation and compensation, various motion compensation techniques can be used. There are two distinct techniques for motion estimation block matching and pel-recursive block matching has been widely used as it produces a better signal-to-noise ratio or a lower bit rate for transmission than the pel-recursive method. In this thesis, various pel-recursive motion es

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7

Farnebäck, Gunnar. "Motion-based segmentation of image sequences." Thesis, Linköping University, Linköping University, Computer Vision, 1996. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-54351.

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<p>This Master's Thesis addresses the problem of segmenting an image sequence with respect to the motion in the sequence. As a basis for the motion estimation, 3D orientation tensors are used. The goal of the segmentation is to partition the images into regions, characterized by having a coherent motion. The motion model is affine with respect to the image coordinates. A method to estimate the parameters of the motion model from the orientation tensors in a region is presented. This method can also be generalized to a large class of motion models.</p><p>Two segmentation algorithms are presente

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8

Wang, Qi. "Motion compensation for image sequence coding." Thesis, Heriot-Watt University, 1991. http://hdl.handle.net/10399/821.

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9

Giaccone, Paul. "Motion analysis of cinematographic image sequences." Thesis, Kingston University, 2000. http://eprints.kingston.ac.uk/20647/.

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Many digital special effects require knowledge of the motion present in an image sequence. In order for these effects to be realistic, blending seamlessly with unmodified live action or animation, motion must be represented accurately. Most existing methods of motion estimation are unsuitable for use in postproduction for one or more reasons; namely poor accuracy; corruption, by aliasing and the aperture problem, of estimation of large-magnitude motion; failure to handle multiple motions and motion boundaries; representation of curvilinear motion as concatenated translations instead of as smoo

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10

Saunders, Thomas. "Image motion analysis using inertial sensors." Thesis, University of Bath, 2015. https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.687346.

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Understanding the motion of a camera from only the image(s) it captures is a di cult problem. At best we might hope to estimate the relative motion between camera and scene if we assume a static subject, but once we start considering scenes with dynamic content it becomes di cult to di↵erentiate between motion due to the observer or motion due to scene movement. In this thesis we show how the invaluable cues provided by inertial sensor data can be used to simplify motion analysis and relax requirements for several computer vision problems. This work was funded by the University of Bath.

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11

Barnett, Barry Stanley. "Full motion multiparty videoconferencing using motion compensated visual pattern image sequence coding /." Digital version accessible at:, 2000. http://wwwlib.umi.com/cr/utexas/main.

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12

Ould, Meiloud Ahmed. "The image of Arabs in Hollywood films." Laramie, Wyo. : University of Wyoming, 2007. http://proquest.umi.com/pqdweb?did=1445035141&sid=1&Fmt=2&clientId=18949&RQT=309&VName=PQD.

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13

Agarwal, Ankur. "Machine Learning for Image Based Motion Capture." Phd thesis, Grenoble INPG, 2006. http://tel.archives-ouvertes.fr/tel-00390301.

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Image based motion capture is a problem that has recently gained a lot of attention in the domain of understanding human motion in computer vision. The problem involves estimating the 3D configurations of a human body from a set of images and has applications that include human computer interaction, smart surveillance, video analysis and animation. This thesis takes a machine learning based approach to reconstructing 3D pose and motion from monocular images or video. It makes use of a collection of images and motion capture data to derive mathematical models that allow the recovery of full bod

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14

Andersson, Kenneth. "Motion estimation for perceptual image sequence coding /." Linköping : Univ, 2003. http://www.bibl.liu.se/liupubl/disp/disp2003/tek794s.pdf.

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15

Beare, Richard. "Image segmentation based on local motion detection /." Title page, contents and abstract only, 1997. http://web4.library.adelaide.edu.au/theses/09PH/09phb3684.pdf.

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16

Elias, D. P. "The motion-based segmentation of image sequences." Thesis, University of Cambridge, 1999. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.598806.

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Visual motion is one of the most important cues for the interpretation of image sequences. A contiguous region whose motion can be characterised by a single set of parameters is very likely to correspond to a distinct physical object. Knowledge of the motion and spatial extent of such regions can greatly enhance the efficiency of applications such as image sequence coding and video restoration. The first part of this dissertation analyses existing motion estimation techniques in terms of the extent to which they are able to recover true motion, to identify uncovered background (those areas of

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17

Ildiz, Faith. "Estimation of motion parameters from image sequences." Thesis, Monterey, California. Naval Postgraduate School, 1991. http://hdl.handle.net/10945/28176.

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The image motion analysis algorithms that generate the two dimensional velocity of objects in a sequence of images are developed. The algorithms considered consist of: the parallel extended kalman filter method; the spatiotemporal gradient methods; the spatiotemporal frequency methods; and the one-dimensional FFT methods. These algorithms are designed to perform on low signal to noise ratio images. Each of these algorithms is applied to a sequence of computer generated images with varying signal to noise ratios. Simulations are used to evaluate the performance of each algorithm. (Author)

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18

Aksu, tIbrahim. "Performance analysis of image motion analysis algorithms." Thesis, Monterey, California. Naval Postgraduate School, 1991. http://hdl.handle.net/10945/28443.

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19

Lee, Chong U. "Contour motion compensation for image sequence coding." Thesis, Massachusetts Institute of Technology, 1989. http://hdl.handle.net/1721.1/14515.

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Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 1989.<br>Includes bibliographical references (leaves 124-130).<br>by Chong Uk Lee.<br>Ph.D.

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20

Wu, Siu Fan. "General motion estimation and segmentation." Thesis, University of Surrey, 1990. http://epubs.surrey.ac.uk/843155/.

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In this thesis, estimation of motion from an image sequence is investigated. The emphasis is on the novel use of motion model for describing two dimensional motion. Special attention is directed towards general motion models which are not restricted to translational motion. In contrast to translational motion, the 2-D motion is described by the model using motion parameters. There are two major areas which can benefit from the study of general motion model. The first one is image sequence processing and compression. In this context, the use of motion model provides a more compact description o

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21

Aitken, Victor C. (Victor Charles) Carleton University Dissertation Engineering Electrical. "Motion and structure estimation in noisy monocular image sequences: specialization to planar motion." Ottawa, 1991.

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22

Kwok, Crystal Lee, and 郭錦恩. "Ghosts and goddesses: women, cinema, & the image." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 1995. http://hub.hku.hk/bib/B31950978.

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23

Huang, Jianzhong. "Motion estimation and compensation for video image sequences." Diss., Georgia Institute of Technology, 1995. http://hdl.handle.net/1853/14950.

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24

Robinson, M. Dirk. "Estimation theoretic analysis of motion in image sequences /." Diss., Digital Dissertations Database. Restricted to UC campuses, 2004. http://uclibs.org/PID/11984.

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25

McKinnon, David N. R. "Structure from motion from uncalibrated digital image sequences /." [St. Lucia, Qld.], 2002. http://www.library.uq.edu.au/pdfserve.php?image=thesisabs/absthe17117.pdf.

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26

Laptev, Ivan. "Local spatio-temporal image features for motion interpretation." Doctoral thesis, KTH, Numerical Analysis and Computer Science, NADA, 2004. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-3797.

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<p>Visual motion carries information about the dynamics of ascene. Automatic interpretation of this information isimportant when designing computer systems forvisualnavigation, surveillance, human-computer interaction, browsingof video databases and other growing applications.</p><p>In this thesis, we address the issue of motionrepresentation for the purpose of detecting and recognizingmotion patterns in video sequences. We localize the motion inspace and time and propose to use local spatio-temporal imagefeatures as primitives when representing and recognizingmotions. To detect such features,

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27

Santoro, Michael. "Valid motion estimation for super-resolution image reconstruction." Diss., Georgia Institute of Technology, 2012. http://hdl.handle.net/1853/44765.

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In this thesis, a block-based motion estimation algorithm suitable for Super-Resolution (SR) image reconstruction is introduced. The motion estimation problem is formulated as an energy minimization problem that consists of both a data and regularization term. To handle cases when motion estimation fails, a block-based validity method is introduced, and is shown to outperform all other validity methods in the literature in terms of hybrid de-interlacing. By combining the validity metric into the energy minimization framework, it is shown that 1) the motion vector error is made less sensitive t

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28

Cain, James H. "Image motion compensation for an electronic imaging system /." Online version of thesis, 1986. http://hdl.handle.net/1850/8731.

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29

Konrad, Janusz. "Bayesian estimation of motion fields from image sequences." Thesis, McGill University, 1989. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=74225.

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This thesis addresses the ill-posed problem of estimating two-dimensional motion in time-varying images. The approach proposed here uses the theory of stochastic processes at the formulation and solution stages. Independent Gaussian random variables are used to model the relationship between motion fields and images, and vector and binary Markov random fields are used to model motion and motion discontinuity fields, respectively. These models, combined using Bayes rule, result in Gibbsian a posteriori probability distribution from which the Maximum A Posteriori Probability (MAP) and the Minimu

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30

Amanatidis, Dimitrios E. "Motion estimation and segmentation of colour image sequences." Thesis, Kingston University, 2008. http://eprints.kingston.ac.uk/20300/.

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The principal objective of this thesis is to develop improved motion estimation and segmentation techniques that meet the image-processing requirements of the post¬production industry. Starting with a rigorous taxonomy of existing image segmentation techniques, we proceed by focusing on motion estimation by means of optical flow calculation. A parametric motion model based method to estimate optical flow fields on three consecutive frames is developed and tested on a number of colour real sequences. Initial estimates are robustly refined in an iterative scheme and are enhanced by colour probab

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31

Ogunbona, Philip Olurotimi. "Estimation of motion for movement compensated image processing." Thesis, Imperial College London, 1987. http://hdl.handle.net/10044/1/47481.

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32

Bober, Miroslaw Zbigniew. "General motion estimation and segmentation from image sequences." Thesis, University of Surrey, 1994. http://epubs.surrey.ac.uk/843929/.

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This thesis is concerned with the problem of motion estimation and segmentation, mainly related to planar motion in the image plane. The emphasis is placed on several important issues, namely: the study of different motion models and their performance, the benefits resulting from the use of contextual information, the application of multiresolution strategies, and the use of Robust methods and confidence measures. The thesis investigates the application of global motion models, in particular the affine model, in different estimation and segmentation approaches. It is shown that the use of such

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33

Zhou, Jining. "ORGAN MOTION AND IMAGE GUIDANCE IN RADIATION THERAPY." VCU Scholars Compass, 2009. http://scholarscompass.vcu.edu/etd/1681.

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Organ motion and inaccurate patient positioning may compromise radiation therapy outcome. With the aid of image guidance, it is possible to allow for a more accurate organ motion and motion control study, which could lead to the reduction of irradiated healthy tissues and possible dose escalation to the target volume to achieve better treatment results. The studies on the organ motion and image guidance were divided into the following four sections. The first, the interfractional setup uncertainties from day-to-day treatment and intrafractional internal organ motion within the daily treatment

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34

Egbert, Cameron. "Real-time motion transition by example /." Diss., CLICK HERE for online access, 2005. http://contentdm.lib.byu.edu/ETD/image/etd1070.pdf.

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35

Mackay, Allen Boyd. "Large-displacement linear-motion compliant mechanisms /." Diss., CLICK HERE for online access, 2007. http://contentdm.lib.byu.edu/ETD/image/etd1845.pdf.

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36

Glaze, Tiffini Lynn. "Reasoning About Motion: A Case Study." Diss., CLICK HERE for online access, 2004. http://contentdm.lib.byu.edu/ETD/image/etd488.pdf.

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37

Monaco, Joseph W. "Generalized motion models for video applications." Diss., Georgia Institute of Technology, 1997. http://hdl.handle.net/1853/14926.

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38

Ye, Ming. "Robust visual motion analysis : piecewise-smooth optical flow and motion-based detection and tracking /." Thesis, Connect to this title online; UW restricted, 2002. http://hdl.handle.net/1773/6077.

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39

Dobie, Mark Ralph. "Motion analysis in multimedia systems." Thesis, University of Southampton, 1992. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.359240.

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40

Sklyar, Andrey V. "Testing SPECT Motion Correction Algorithms." Digital WPI, 2010. https://digitalcommons.wpi.edu/etd-theses/419.

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Frequently, testing of Single Photon Emission Computed Tomography (SPECT) motion correction algorithms is done either by using simplistic deformations that do not accurately simulate true patient motion or by applying the algorithms directly to data acquired from a real patient, where the true internal motion is unknown. In this work, we describe a way to combine these two approaches by using imaging data acquired from real volunteers to simulate the data that the motion correction algorithms would normally observe. The goal is to provide an assessment framework which can both: simulate re

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41

Magarey, Julian. "Motion estimation using complex wavelets." Thesis, University of Cambridge, 1997. https://www.repository.cam.ac.uk/handle/1810/273016.

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42

Kwok, Crystal Lee. "Ghosts and goddesses : women, cinema, & the image /." Hong Kong : University of Hong Kong, 1995. http://sunzi.lib.hku.hk/hkuto/record.jsp?B14040220.

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43

Scheffler, Carl. "Articulated structure from motion." Thesis, University of the Western Cape, 2004. http://etd.uwc.ac.za/index.php?module=etd&action=viewtitle&id=init_2988_1177923873.

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The structure from motion (SfM) problem is that of determining 3-dimensional (3D) information of a scene from sequences of 2-dimensional (2D) images [59]. This information consists of object shape and motion and relative camera motion. In general, objects may undergo complex non-rigid motion and may be occluded by other objects or themselves. These aspects make the general SfM problem under-constrained and the solution subject to missing or incomplete data.

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44

Duncan, David P. "Motion Compensation of Interferometric Synthetic Aperture Radar." Diss., CLICK HERE for online access, 2004. http://contentdm.lib.byu.edu/ETD/image/etd477.pdf.

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45

O'Shaughnessy, Richard. "Motion-compensated predictive coding of image sequences : analysis and evaluation." Thesis, McGill University, 1985. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=72065.

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In this study, motion-compensated predictive coding of monochrome image sequences was investigated. The goals were to evaluate the performance limits of this coding method, to determine its relative advantages in comparison to other predictive coding techniques not compensated for motion, and to identify the factors which limit further improvements in performance. A motion-compensated prediction algorithm which estimates displacements only from previously-transmitted data was presented, and was shown to be nearly optimal. At low distortion levels, an adaptive intra-inter-frame predictor not co

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46

Li, Yanhua. "Efficient recursive factorization methods for determining structure from motion." Title page, abstract and contents only, 2000. http://web4.library.adelaide.edu.au/theses/09PH/09phl6929.pdf.

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47

Li, Yan. "3D reconstruction and camera calibration from circular-motion image sequences." Click to view the E-thesis via HKUTO, 2005. http://sunzi.lib.hku.hk/hkuto/record/B36365919.

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48

Moccagatta, Iole. "Image coding and motion field segmentation using vector quantization /." Lausanne : EPFL, 1995. http://library.epfl.ch/theses/?nr=1410.

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49

Zhong, Huang. "3D metric reconstruction from uncalibrated circular motion image sequences." Click to view the E-thesis via HKUTO, 2006. http://sunzi.lib.hku.hk/hkuto/record/B37043791.

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50

Lee, Choon. "Interframe image coding with three-dimensional gradient motion estimation." Diss., This resource online, 1990. http://scholar.lib.vt.edu/theses/available/etd-08252008-162144/.

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