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Dissertations / Theses on the topic 'Data of variable size'

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Published: 25 May 2024

Last updated: 31 July 2025

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1

Chen, Haiying. "Ranked set sampling for binary and ordered categorical variables with applications in health survey data." Connect to this title online, 2004. http://rave.ohiolink.edu/etdc/view?acc%5Fnum=osu1092770729.

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Thesis (Ph. D.)--Ohio State University, 2004.<br>Title from first page of PDF file. Document formatted into pages; contains xiii, 109 p.; also includes graphics Includes bibliographical references (p. 99-102). Available online via OhioLINK's ETD Center

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Liv, Per. "Efficient strategies for collecting posture data using observation and direct measurement." Doctoral thesis, Umeå universitet, Yrkes- och miljömedicin, 2012. http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-59132.

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Relationships between occupational physical exposures and risks of contracting musculoskeletal disorders are still not well understood; exposure-response relationships are scarce in the musculoskeletal epidemiology literature, and many epidemiological studies, including intervention studies, fail to reach conclusive results. Insufficient exposure assessment has been pointed out as a possible explanation for this deficiency. One important aspect of assessing exposure is the selected measurement strategy; this includes issues related to the necessary number of data required to give sufficient in

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Högberg, Hans. "Some properties of measures of disagreement and disorder in paired ordinal data." Doctoral thesis, Örebro universitet, Handelshögskolan vid Örebro universitet, 2010. http://urn.kb.se/resolve?urn=urn:nbn:se:oru:diva-12350.

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The measures studied in this thesis were a measure of disorder, D, and a measure of the individual part of the disagreement, the measure of relative rank variance, RV, proposed by Svensson in 1993. The measure of disorder is a useful measure of order consistency in paired assessments of scales with a different number of possible values. The measure of relative rank variance is a useful measure in evaluating reliability and for evaluating change in qualitative outcome variables. In Paper I an overview of methods used in the analysis of dependent ordinal data and a comparison of the methods rega

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Sanchez, Théophile. "Reconstructing our past ˸ deep learning for population genetics." Electronic Thesis or Diss., université Paris-Saclay, 2022. http://www.theses.fr/2022UPASG032.

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Avec l'explosion des technologies de séquençage, de plus en plus de données génomiques sont disponibles, ouvrant la voie à une connaissance approfondie des forces évolutives en œuvre et en particulier de l'histoire démographique des populations. Toutefois, extraire l'information intéressante de ces données massives de manière efficace reste un problème ouvert. Compte tenu de leurs récents succès en apprentissage statistique, les réseaux de neurones artificiels sont un candidat sérieux pour mener à bien une telle analyse. Ces méthodes ont l'avantage de pouvoir traiter des données ayant une gran

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Fakhouri, Elie Michel. "Variable block-size motion estimation." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1997. http://www.collectionscanada.ca/obj/s4/f2/dsk2/ftp01/MQ37260.pdf.

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Ruengvirayudh, Pornchanok. "A Monte Carlo Study of Parallel Analysis, Minimum Average Partial, Indicator Function, and Modified Average Roots for Determining the Number of Dimensions with Binary Variables in Test Data: Impact of Sample Size and Factor Structure." Ohio University / OhioLINK, 2018. http://rave.ohiolink.edu/etdc/view?acc_num=ohiou151516919677091.

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Nataša, Krklec Jerinkić. "Line search methods with variable sample size." Phd thesis, Univerzitet u Novom Sadu, Prirodno-matematički fakultet u Novom Sadu, 2014. http://dx.doi.org/10.2298/NS20140117KRKLEC.

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The problem under consideration is an unconstrained optimization problem with the objective function in the form of mathematical ex-pectation. The expectation is with respect to the random variable that represents the uncertainty. Therefore, the objective  function is in fact deterministic. However, nding the analytical form of that objective function can be very dicult or even impossible. This is the reason why the sample average approximation is often used. In order to obtain reasonable good approximation of the objective function, we have to use relatively large sample size. We as

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Hintze, Christopher Jerry. "Modeling correlation in binary count data with application to fragile site identification." Texas A&M University, 2005. http://hdl.handle.net/1969.1/4278.

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Available fragile site identification software packages (FSM and FSM3) assume that all chromosomal breaks occur independently. However, under a Mendelian model of inheritance, homozygosity at fragile loci implies pairwise correlation between homologous sites. We construct correlation models for chromosomal breakage data in situations where either partitioned break count totals (per-site single-break and doublebreak totals) are known or only overall break count totals are known. We derive a likelihood ratio test and NeymanÃ¢ÂÂs C( ÃÂ±) test for correlation between homologs when partitioned b

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Sodagari, Shabnam. "Variable block-size disparity estimation in stereo imagery." Thesis, University of Ottawa (Canada), 2003. http://hdl.handle.net/10393/26399.

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This thesis addresses the problem of developing and implementing in software a variable block size (quadtree splitting) disparity estimation algorithm that is optimized for use in compression of stereo image pairs and studying its performance over a range of rate/distortion values for a variety of images. First the constrained optimization problem is converted to an unconstrained one using the Lagrange multiplier approach. Then by solving the optimization problem using dynamic programming, the optimal variables representing the optimal quadtree structure and the quantizer for each node are det

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Dziminski, Martin A. "The evolution of variable offspring provisioning." University of Western Australia, 2005. http://theses.library.uwa.edu.au/adt-WU2005.0134.

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Most theoretical models predict an optimal offspring size that maximises parental fitness. Variation in the quality of the offspring environment can result in multiple offspring size optima and therefore variation of offspring provisioning can evolve. Variation in offspring provisioning is common and found across a variety of taxa. It can be defined as between populations, explained by optimality models, or between and within individuals, neither so easily explained by optimality models. My research focused on the evolution of variable offspring provisioning by testing theoretical models relat

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Acuna, Stamp Annabelen. "Design Study for Variable Data Printing." University of Cincinnati / OhioLINK, 2000. http://rave.ohiolink.edu/etdc/view?acc_num=ucin962378632.

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Shomper, Keith A. "Visualizing program variable data for debugging /." The Ohio State University, 1993. http://rave.ohiolink.edu/etdc/view?acc_num=osu1487848531364488.

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Wien, Mathias [Verfasser]. "Variable Block-Size Transforms for Hybrid Video Coding / Mathias Wien." Aachen : Shaker, 2004. http://d-nb.info/1172614245/34.

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Dominicus, Annica. "Latent variable models for longitudinal twin data." Doctoral thesis, Stockholm : Mathematical statistics, Dept. of mathematics, Stockholm university, 2006. http://urn.kb.se/resolve?urn=urn:nbn:se:su:diva-848.

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Albanese, Maria Teresinha. "Latent variable models for binary response data." Thesis, London School of Economics and Political Science (University of London), 1990. http://etheses.lse.ac.uk/1220/.

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Most of the results in this thesis are obtained for the logit/probit model for binary response data given by Bartholomew (1980), which is sometimes called the two-parameter logistic model. In most the cases the results also hold for other common binary response models. By profiling and an approximation, we investigate the behaviour of the likelihood function, to see if it is suitable for ML estimation. Particular attention is given to the shape of the likelihood around the maximum point in order to see whether the information matrix will give a good guide to the variability of the estimates. T

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Yacoub, Francois MacGregor John Frederick. "Learning from data using latent variable methods." *McMaster only, 2006.

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McClelland, Robyn L. "Regression based variable clustering for data reduction /." Thesis, Connect to this title online; UW restricted, 2000. http://hdl.handle.net/1773/9611.

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Huang, Shiping. "Exploratory visualization of data with variable quality." Link to electronic thesis, 2005. http://www.wpi.edu/Pubs/ETD/Available/etd-01115-225546/.

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PERRA, SILVIA. "Objective bayesian variable selection for censored data." Doctoral thesis, Università degli Studi di Cagliari, 2013. http://hdl.handle.net/11584/266108.

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In this thesis we study the problem of selecting a set of regressors when the response variable follows a parametric model (such as Weibull or lognormal) and observations are right censored. Under a Bayesian approach, the most widely used tools are the Bayes Factors (BFs) which are, however, undefined when using improper priors. Some commonly used tools in literature, which solve the problem of indeterminacy in model selection, are the Intrinsic Bayes factor (IBF) and the Fractional Bayes factor (FBF). The two proposals are not actual Bayes factors but it can be shown that they asymptoticall

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Moreno, Carlos 1965. "Variable frame size for vector quantization and application to speech coding." Thesis, McGill University, 2005. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=99001.

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Vector Quantization (VQ) is a lossy data compression technique that is often applied in the field of speech communications. In VQ, a group of values or vector is replaced by the closest vector from a list of possible choices, the codebook. Compression is achieved by providing the index corresponding to the closest vector in the codebook, which in general can be represented with less data than the original vector.<br>In the case of VQ applied to speech signals, the input signal is divided into frames of a given length. Depending on the particular technique being used, the system either extracts

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Leek, Jeffrey Tullis. "Surrogate variable analysis /." Thesis, Connect to this title online; UW restricted, 2007. http://hdl.handle.net/1773/9586.

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Broc, Camilo. "Variable selection for data aggregated from different sources with group of variable structure." Thesis, Pau, 2019. http://www.theses.fr/2019PAUU3048.

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Durant les dernières décennies, la quantité de données disponibles en génétique a consi-dérablement augmenté. D’une part, une amélioration des technologies de séquençage demolécules a permis de réduire fortement le coût d’extraction du génome humain. D’autrepart, des consortiums internationaux d’institutions ont permis la mise en commun de lacollecte de données sur de larges populations. Cette quantité de données nous permetd’espérer mieux comprendre les mécanismes régissant le fonctionnement de nos cellules.Dans ce contexte, l’épidémiologie génétique est un domaine cherchant à déterminer lare

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Ahn, Jeongyoun Marron James Stephen. "High dimension, low sample size data analysis." Chapel Hill, N.C. : University of North Carolina at Chapel Hill, 2006. http://dc.lib.unc.edu/u?/etd,375.

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Thesis (Ph. D.)--University of North Carolina at Chapel Hill, 2006.<br>Title from electronic title page (viewed Oct. 10, 2007). "... in partial fulfillment of the requirements for the degree of Doctor of Philosophy in the Department of Statistics and Operations Research." Discipline: Statistics and Operations Research; Department/School: Statistics and Operations Research.

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Faletra, Melissa Kathleen. "Segregation of Particles of Variable Size and Density in Falling Suspension Droplets." ScholarWorks @ UVM, 2014. http://scholarworks.uvm.edu/graddis/265.

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The problem of the falling under gravity suspension droplet was examined for cases where the droplet contains particles with different densities and different sizes. Cases examined include droplets composed of uniform-size particles with two different densities, of uniform-density particles of two different sizes, and of a distribution of particles of different densities. The study was conducted using both simulations based on Oseenlet particle interactions and laboratory experiments. It is observed that when the particles in the suspension droplet have different sizes and densities, an intere

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Williams, Andrea E. Gilbert Juan E. "Usability size N." Auburn, Ala., 2007. http://hdl.handle.net/10415/1386.

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Dunlap, Mickey Paul. "Using the bootstrap to analyze variable stars data." Diss., Texas A&M University, 2004. http://hdl.handle.net/1969.1/1398.

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Often in statistics it is of interest to investigate whether or not a trend is signiﬁcant. Methods for testing such a trend depend on the assumptions of the error terms such as whether the distribution is known and also if the error terms are independent. Likelihood ratio tests may be used if the distribution is known but in some instances one may not want to make such assumptions. In a time series, these errors will not always be independent. In this case, the error terms are often modelled by an autoregressive or moving average process. There are resampling techniques for testing the hypothe

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Guo, Lei. "Bayesian Biclustering on Discrete Data: Variable Selection Methods." Thesis, Harvard University, 2013. http://dissertations.umi.com/gsas.harvard:11201.

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Biclustering is a technique for clustering rows and columns of a data matrix simultaneously. Over the past few years, we have seen its applications in biology-related fields, as well as in many data mining projects. As opposed to classical clustering methods, biclustering groups objects that are similar only on a subset of variables. Many biclustering algorithms on continuous data have emerged over the last decade. In this dissertation, we will focus on two Bayesian biclustering algorithms we developed for discrete data, more specifically categorical data and ordinal data.<br>Statistics

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Harrison, Wendy Jane. "Latent variable modelling for complex observational health data." Thesis, University of Leeds, 2016. http://etheses.whiterose.ac.uk/16384/.

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Observational health data are a rich resource that present modelling challenges due to data complexity. If inappropriate analytical methods are used to make comparisons amongst either patients or healthcare providers, inaccurate results may generate misleading interpretations that may affect patient care. Traditional approaches cannot fully accommodate the complexity of the data; untenable assumptions may be made, bias may be introduced, or modelling techniques may be crude and lack generality. Latent variable methodologies are proposed to address the data challenges, while answering a range o

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Walder, Alistair Neil. "Statistics of shape and size for landmark data." Thesis, University of Leeds, 1991. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.303425.

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Sajja, Abhilash. "Forensic Reconstruction of Fragmented Variable Bitrate MP3 files." ScholarWorks@UNO, 2010. http://scholarworks.uno.edu/td/1258.

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File carving is a technique used to recover data from a digital device without the help of file system metadata. The current file carvers use techniques such as using a list of header and footer values and key word searching to retrieve the information specific to a file type. These techniques tend to fail when the files to be recovered are fragmented. Recovering the fragmented files is one of the primary challenges faced by file carving. In this research we focus on Variable Bit Rate (VBR) MP3 files. MP3 is one of the most widely used file formats for storing audio data. We develop a te

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Cheng, Yafeng. "Functional regression analysis and variable selection for motion data." Thesis, University of Newcastle upon Tyne, 2016. http://hdl.handle.net/10443/3150.

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Modern technology o ers us highly evolved data collection devices. They allow us to observe data densely over continua such as time, distance, space and so on. The observations are normally assumed to follow certain continuous and smooth underline functions of the continua. Thus the analysis must consider two important properties of functional data: infinite dimension and the smoothness. Traditional multivariate data analysis normally works with low dimension and independent data. Therefore, we need to develop new methodology to conduct functional data analysis. In this thesis, we first study

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Lan, Lan. "Variable Selection in Linear Mixed Model for Longitudinal Data." NCSU, 2006. http://www.lib.ncsu.edu/theses/available/etd-05172006-211924/.

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Fan and Li (JASA, 2001) proposed a family of variable selection procedures for certain parametric models via a nonconcave penalized likelihood approach, where significant variable selection and parameter estimation were done simultaneously, and the procedures were shown to have the oracle property. In this presentation, we extend the nonconcave penalized likelihood approach to linear mixed models for longitudinal data. Two new approaches are proposed to select significant covariates and estimate fixed effect parameters and variance components. In particular, we show the new approaches also pos

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Lin, Cheng-Han, and 林承翰. "A variable block size pattern run-length codingfor test data compression." Thesis, 2017. http://ndltd.ncl.edu.tw/handle/5f3443.

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碩士<br>元智大學<br>資訊工程學系<br>105<br>The testing data compression is one of popular topics in VLSI testing field. It also is the key to solve the huge data test data. Built-in-self-test (BIST) architecture which can test the circuit itself can generate the data inside the circuit under test without any other externality, resulting the reduction of test data volume. In this thesis, we proposed a code-based test data compression approach to achieve a better test data compression ratio by using the variable block size pattern run-length. By using benchmark ISCAS’89 circuits, experimental results show t

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Yang, Hsien-Yi, and 楊顯奕. "Variable Pattern Size Pattern Run-length Coding Based on Fibonacci Number for Test data Compression." Thesis, 2018. http://ndltd.ncl.edu.tw/handle/nu7cfb.

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碩士<br>元智大學<br>資訊工程學系<br>107<br>While the technology keep growing, the volume of the integrated circuit keeps decreasing, and the circuit becomes more and more tight. Nowadays, IC is developed into 3D type, it is much more complex than 2D plane, and the growth of the data quantity is also not appreciable. Besides the speed of computing by the software and hardware, the data size is also a very important factor in the discussion of VLSI (Very large scale integration) testing. Data compression makes the data size become much smaller and allows us to compute much more data in the same period of ti

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WANG, YU-TZU, and 王愉慈. "A Data Hiding Method Based on Partition Variable Block Size with Exclusive-OR Operation on Binary Image." Thesis, 2016. http://ndltd.ncl.edu.tw/handle/28999648088974917843.

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碩士<br>玄奘大學<br>資訊管理學系碩士班<br>104<br>In this paper, we propose a high capacity data hiding method applying in binary images. Since a binary image has only two colors, black or white, it is hard to hide data imperceptible. The capacities and imperception are always in a trade-off problem. Before embedding we shuffle the secret data by a pseudo-random number generator to keep more secure. We divide the host image into several non-overlapping(2k+1)×(2k+1)sub-blocks in an M by N host image as many as possible, where k=1,2,3,…,or min (M,N). Then we partition each sub-block into four overlapping(k+1)×(

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CHEN, JI-MING, and 陳紀銘. "An Optimal Data Hiding Method Based on Partition Variable Block Size with Exclusive-OR Operation on Binary Image." Thesis, 2017. http://ndltd.ncl.edu.tw/handle/2ta8pc.

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碩士<br>玄奘大學<br>資訊管理學系碩士班<br>105<br>In this thesis, we propose a high capacity data hiding method applying in binary images. We divide the host image into several non-overlapping blocks as many as possible. Then we partition each block into four overlapping sub-blocks. We skip the all blacks or all whites in each block. We consider all four sub-blocks to check the XOR between the nonoverlapping parts and the center pixel of the block. The entire host image can be embedded 4×m×n×M/(2m+1)×N/(2n+1) bits. The extraction way is simply to test the XOR between center pixel with its non-overlapping

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SHIH, CHENG-FU, and 施承甫. "A Reversible Data Hiding Method Based on Partition Variable Block Size and Exclusive-OR Operation with Two Host Images for Binary Image." Thesis, 2018. http://ndltd.ncl.edu.tw/handle/yhm8ny.

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碩士<br>玄奘大學<br>資訊管理學系碩士班<br>106<br>In this paper, we propose a high capacity data hiding method applying in binary images. Since a binary image has only two colours, black or white, it is hard to hide data imperceptible. The capacities and imperceptions are always in a trade-off problem. Before embedding we shuffle the secret data by a pseudo-random number generator to keep more secure. We divide the host image C and R into several non-overlapping(2m+1)×(2n+1)sub-blocks in an M by N host image as many as possible, where m=1,2,3…,n=1,2,3…,or min (M,N). Then we partition each sub-block into four

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Pham, Tung Huy. "Some problems in high dimensional data analysis." 2010. http://repository.unimelb.edu.au/10187/8399.

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The bloom of economics and technology has had an enormous impact on society. Along with these developments, human activities nowadays produce massive amounts of data that can be easily collected for relatively low cost with the aid of new technologies. Many examples can be mentioned here including data from web term-document data, sensor arrays, gene expression, finance data, imaging and hyperspectral analysis. Because of the enormous amount of data from various different and new sources, more and more challenging scientific problems appear. These problems have changed the types of problems wh

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Muthulaxmi, S. "Emulating Variable Block Size Caches." Thesis, 1998. https://etd.iisc.ac.in/handle/2005/2184.

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Muthulaxmi, S. "Emulating Variable Block Size Caches." Thesis, 1998. http://etd.iisc.ernet.in/handle/2005/2184.

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Chen, Wei-Da, and 陳威達. "Variable Block Size Reversible Image Watermarking Approach." Thesis, 2009. http://ndltd.ncl.edu.tw/handle/63429040511853512471.

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碩士<br>玄奘大學<br>資訊科學學系碩士班<br>97<br>A reversible watermarking approach recovers the original image from a watermarked image after extracting the embedded watermarks. This paper presents a variable block size reversible image watermarking approach. The proposed method first segments an image to 8×8, 4×4 or 2×2 blocks according to their block structures. Then, the differences between central pixel and other pixels in each block are enlarged. At last, watermarks are embedded into LSB bits of above differences. Experimental results show that the proposed variable block size method has higher capaci

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Huang, Zheng-Bin, and 黃正斌. "Variable block size true motion estimation algorithm." Thesis, 2006. http://ndltd.ncl.edu.tw/handle/60609432991123926256.

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碩士<br>國立成功大學<br>電腦與通信工程研究所<br>94<br>The quality of the motion vector based interpolated frame in frame rate up conversion is predominantly dependent on the accuracy of the motion vectors. In this Thesis, we propose a robust true motion estimation algorithm to enhance the accuracy of the motion vector field. Several techniques used in general video coding systems are introduced into this algorithm. Firstly, a technique of multi-pass motion search can refine motion vector field more accurately as spatial motion correlation is growing up with passes. Secondly, according to the shape of moving obj

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Jian, Jhih-Wei, and 簡智韋. "Variable Block size Wavelet-Transform Medical Image Coding." Thesis, 2010. http://ndltd.ncl.edu.tw/handle/38954297042128467624.

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碩士<br>國立臺灣海洋大學<br>通訊與導航工程系<br>98<br>Wavelet transform technique is widely used in image compression because it provides a multiresolution representation of images. With vector quantization algorithm, the wavelet transformed coefficients can be compressed further. In this study, we have proposed a quadtree segmentation method for medical image preprocess. Quadtree segmentation algorithm is used to divide a given MRI medical image, where regions with image detail will be segmented into blocks with smaller block size, and the background of the image will be assigned larger block size. Choosing pr

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Chen, Jing Jhih, and 陳景智. "Design and Implementation of H.264 Variable Block Size Motion Design and Implementation of H.264 Variable Block Size Motion Estimation." Thesis, 2007. http://ndltd.ncl.edu.tw/handle/65097939673894177646.

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碩士<br>清雲科技大學<br>電子工程研究所<br>94<br>The block occupies is important position than to the algorithm of performing in the code system of the dynamic image. Because it, for dispelling the redundancy on time in the code system of video-information, it is a simplest and effective method. Thesis this adopt one efficient hardware structure to accomplish H.264 variable block matching. This hardware circuit by way of the prove simulation, and H.264 variable block than practical operation of the Xilinx FPGA. This text adopts FPGA that three kinds of Xilinx introduce and develops the board and chip type, el

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Hwang, Chien-Hsin, and 黃謙信. "The Transient Analysis of the Variable Step Size and the Variable Regularization NLMS Algorithm." Thesis, 2017. http://ndltd.ncl.edu.tw/handle/343q8n.

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碩士<br>元智大學<br>電機工程學系<br>105<br>In this paper, we doing the transient analysis of two proposed adaptive algorithm for digital filters. One is the particular variable step size-NLMS(VSS-NLMS) algorithm , another is the particular variable regularization-NLMS(VR-NLMS). We refer to the process of the NLMS’s transient analysis in the reference, and use some approximate assumption to help derive the transient analysis of the two algorithm. Finally, we absolute the goodness of fit by using the computer simulation.

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Huang, Guo-Tai, and 黃國泰. "A Study of Control Charts with Variable Sample Size." Thesis, 2004. http://ndltd.ncl.edu.tw/handle/51993886110283599484.

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碩士<br>國立中山大學<br>應用數學系研究所<br>92<br>Shewhart X bar control charts with estimated control limits are widely used in practice. When the sample size is not fixed,we propose seven statistics to estimate the standard deviation sigma . These estimators are applied to estimate the control limits of Shewhart X bar control chart. The estimated results through simulated computation are given and discussed. Finally, we investigate the performance of the Shewhart X bar control charts based on the seven estimators of sigma via its simulated average run length (ARL).

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Kern, Ludwig August. "Prototype particle size analyzer incorporating variable focal length optics." Thesis, 1987. http://hdl.handle.net/10945/22443.

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"Variable block size motion estimation hardware for video encoders." 2007. http://library.cuhk.edu.hk/record=b5893113.

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Li, Man Ho.<br>Thesis submitted in: November 2006.<br>Thesis (M.Phil.)--Chinese University of Hong Kong, 2007.<br>Includes bibliographical references (leaves 137-143).<br>Abstracts in English and Chinese.<br>Abstract --- p.i<br>Acknowledgement --- p.iv<br>Chapter 1 --- Introduction --- p.1<br>Chapter 1.1 --- Motivation --- p.3<br>Chapter 1.2 --- The objectives of this thesis --- p.4<br>Chapter 1.3 --- Contributions --- p.5<br>Chapter 1.4 --- Thesis structure --- p.6<br>Chapter 2 --- Digital video compression --- p.8<br>Chapter 2.1 --- Introduction --- p.8<br>Chapter 2.2 --- Fundamenta

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Yang, Hau-Yu, and 楊濠宇. "The study of Variable Sample Size Cpm Control Chart." Thesis, 2015. http://ndltd.ncl.edu.tw/handle/4ksa47.

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Liu, Han-Sheng, and 劉瀚升. "Parallel VLSI Architectures for Variable Block Size Motion Estimation." Thesis, 2010. http://ndltd.ncl.edu.tw/handle/08983155936817630201.

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碩士<br>國立東華大學<br>資訊工程學系<br>98<br>The H.264/AVC video coding standard was recently developed by the Joint Video Team (JVT) consisting of experts from international study groups, Video Coding Experts Group (VCEG) and Moving Picture Experts Group (MPEG), which significantly improves video coding. Motion estimation is one of the core designs of the H.264/AVC video coding. Variable block size motion estimation (VBSME) is a new video coding technique which improves video distortion, provides more accurate predictions, reduces video coding data, and increases the utilization of network bandwidth. This

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