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  • About
  • The Global ETD Search service is a free service for researchers to find electronic theses and dissertations. This service is provided by the Networked Digital Library of Theses and Dissertations.
    Our metadata is collected from universities around the world. If you manage a university/consortium/country archive and want to be added, details can be found on the NDLTD website.
1

Video object segmentation. / 視頻物件分割法 / Video object segmentation. / Shi pin wu jian fen ge fa

January 2004 (has links)
Mak Chun Man = 視頻物件分割法 / 麥振文. / Thesis (M.Phil.)--Chinese University of Hong Kong, 2004. / Includes bibliographical references. / Text in English; abstracts in English and Chinese. / Mak Chun Man = Shi pin wu jian fen ge fa / Mai Zhenwen. / List of Figures --- p.III / List of Tables --- p.III / Chapter Chapter 1. --- Introduction --- p.1-1 / Chapter 1.1. --- A Brief Review on Video Objects Segmentation --- p.1-1 / Chapter 1.2. --- Objective of the Research Work --- p.1-3 / Chapter 1.3. --- Organization of the Thesis --- p.1-4 / Chapter 1.4. --- Notes on Publication --- p.1-5 / Chapter Chapter 2. --- Background Information --- p.2-1 / Chapter 2.1. --- Introduction --- p.2-1 / Chapter 2.2. --- Review of common video coding standards --- p.2-3 / Chapter 2.2.1 --- H.261 --- p.2-3 / Chapter 2.2.2 --- MPEG-1 --- p.2-4 / Chapter 2.2.3 --- MPEG-2 --- p.2-4 / Chapter 2.2.4 --- MPEG-4 --- p.2-5 / Chapter 2.3. --- Reviews of video objects segmentation methods --- p.2-7 / Chapter 2.3.1. --- Motion Segmentation --- p.2-8 / Chapter 2.3.2 --- Temporal & Spatial Segmentation --- p.2-9 / Chapter 2.3.2.1 --- Change Detection --- p.2-10 / Chapter 2.3.2.2 --- Morphological Filtering --- p.2-11 / Chapter 2.3.2.3 --- Image Segmentation --- p.2-12 / Chapter 2.3.2.4 --- Active Contour - Snake --- p.2-13 / Chapter 2.3.3 --- Application specific & human aided --- p.2-13 / Chapter 2.3.3.1 --- Manual Object Extraction --- p.2-13 / Chapter 2.3.3.2 --- Static Camera --- p.2-14 / Chapter 2.3.3.3 --- 3D video --- p.2-15 / Chapter 2.3.3.4 --- Video Conferencing and Face Segmentation --- p.2-15 / Chapter 2.3.3.5 --- Text Extraction --- p.2-16 / Chapter 2.4. --- Conclusions --- p.2-16 / Chapter Chapter 3. --- Global Motion Estimation --- p.3-1 / Chapter 3.1. --- Introduction --- p.3-1 / Chapter 3.2. --- Background Information --- p.3-2 / Chapter 3.2.1. --- Motion Models --- p.3-2 / Chapter 3.2.2. --- Estimation Methods --- p.3-5 / Chapter 3.3. --- Robust Regression: Least Median of Square Error --- p.3-8 / Chapter 3.3.1. --- Review of Least Median of Square Error --- p.3-8 / Chapter 3.3.2. --- Applying LMedS on Global Motion Estimation --- p.3-11 / Chapter 3.4. --- Modifications to LMedS --- p.3-12 / Chapter 3.5. --- Experimental Results --- p.3-15 / Chapter 3.6. --- Conclusions --- p.3-23 / Chapter 3.7. --- Notes on Publication --- p.3-24 / Chapter Chapter 4. --- System Overview --- p.4-1 / Chapter 4.1. --- Introduction --- p.4-1 / Chapter 4.2. --- Assumptions --- p.4-1 / Chapter 4.2.1. --- Objects in motion --- p.4-2 / Chapter 4.2.2. --- Motion is slow --- p.4-2 / Chapter 4.2.3. --- Change of object shapes --- p.4-2 / Chapter 4.2.4. --- Background size --- p.4-3 / Chapter 4.3. --- System Description --- p.4-3 / Chapter 4.3.1. --- Motion Detection --- p.4-5 / Chapter 4.3.1.1. --- Motion Estimation --- p.4-5 / Chapter 4.3.1.2. --- Global Motion Estimation & Compensation --- p.4-10 / Chapter 4.3.1.3. --- Change Detection Mask --- p.4-12 / Chapter 4.3.1.4. --- FP size thresholding --- p.4-14 / Chapter 4.3.1.5. --- FP clustering --- p.4-15 / Chapter 4.3.2. --- Spatial Features Extraction --- p.4-19 / Chapter 4.3.2.1. --- Edge Detection --- p.4-20 / Chapter 4.3.2.2. --- Region Growing --- p.4-20 / Chapter 4.3.3. --- Labeling and Boundary Tracking --- p.4-21 / Chapter 4.3.3.1. --- Objects' Locations Updates --- p.4-21 / Chapter 4.3.3.2. --- Foreground Pixel Clusters Labeling --- p.4-23 / Chapter 4.3.3.3. --- Slow and Rapid Components Tracking --- p.4-25 / Chapter 4.3.3.4. --- New Model Initialization --- p.4-26 / Chapter 4.3.4. --- Boundary Refinement --- p.4-26 / Chapter 4.3.4.1. --- Filling-in Process --- p.4-27 / Chapter 4.3.4.2. --- Boundary Correction --- p.4-27 / Chapter 4.4. --- Experimental Results --- p.4-32 / Chapter 4.4.1. --- Qualitative Evaluation --- p.4-32 / Chapter 4.4.1.1. --- Summary of the Qualitative Evaluation Results --- p.4-34 / Chapter 4.4.2. --- Quantitative Evaluation --- p.4-35 / Chapter 4.5. --- Conclusions --- p.4-46 / Chapter 4.6. --- Notes on Publications --- p.4-46 / Chapter Chapter 5. --- Conclusions & Future Works --- p.5-1 / Chapter 5.1. --- Contributions and Conclusions --- p.5-1 / Chapter 5.1.1. --- Multiple object support --- p.5-1 / Chapter 5.1.2. --- Global Motion Estimation --- p.5-2 / Chapter 5.2. --- Future Works --- p.5-3 / References
2

Video object segmentation.

January 2006 (has links)
Wei Wei. / Thesis submitted in: December 2005. / Thesis (M.Phil.)--Chinese University of Hong Kong, 2006. / Includes bibliographical references (leaves 112-122). / Abstracts in English and Chinese. / Abstract --- p.II / List of Abbreviations --- p.IV / Chapter Chapter 1 --- Introduction --- p.1 / Chapter 1.1 --- Overview of Content-based Video Standard --- p.1 / Chapter 1.2 --- Video Object Segmentation --- p.4 / Chapter 1.2.1 --- Video Object Plane (VOP) --- p.4 / Chapter 1.2.2 --- Object Segmentation --- p.5 / Chapter 1.3 --- Problems of Video Object Segmentation --- p.6 / Chapter 1.4 --- Objective of the research work --- p.7 / Chapter 1.5 --- Organization of This Thesis --- p.8 / Chapter 1.6 --- Notes on Publication --- p.8 / Chapter Chapter 2 --- Literature Review --- p.10 / Chapter 2.1 --- What is segmentation? --- p.10 / Chapter 2.1.1 --- Manual Segmentation --- p.10 / Chapter 2.1.2 --- Automatic Segmentation --- p.11 / Chapter 2.1.3 --- Semi-automatic segmentation --- p.12 / Chapter 2.2 --- Segmentation Strategy --- p.14 / Chapter 2.3 --- Segmentation of Moving Objects --- p.17 / Chapter 2.3.1 --- Motion --- p.18 / Chapter 2.3.2 --- Motion Field Representation --- p.19 / Chapter 2.3.3 --- Video Object Segmentation --- p.25 / Chapter 2.4 --- Summary --- p.35 / Chapter Chapter 3 --- Automatic Video Object Segmentation Algorithm --- p.37 / Chapter 3.1 --- Spatial Segmentation --- p.38 / Chapter 3.1.1 --- k:-Medians Clustering Algorithm --- p.39 / Chapter 3.1.2 --- Cluster Number Estimation --- p.41 / Chapter 3.1.2 --- Region Merging --- p.46 / Chapter 3.2 --- Foreground Detection --- p.48 / Chapter 3.2.1 --- Global Motion Estimation --- p.49 / Chapter 3.2.2 --- Detection of Moving Objects --- p.50 / Chapter 3.3 --- Object Tracking and Extracting --- p.50 / Chapter 3.3.1 --- Binary Model Tracking --- p.51 / Chapter 3.3.1.2 --- Initial Model Extraction --- p.53 / Chapter 3.3.2 --- Region Descriptor Tracking --- p.59 / Chapter 3.4 --- Results and Discussions --- p.65 / Chapter 3.4.1 --- Objective Evaluation --- p.65 / Chapter 3.4.2 --- Subjective Evaluation --- p.66 / Chapter 3.5 --- Conclusion --- p.74 / Chapter Chapter 4 --- Disparity Estimation and its Application in Video Object Segmentation --- p.76 / Chapter 4.1 --- Disparity Estimation --- p.79 / Chapter 4.1.1. --- Seed Selection --- p.80 / Chapter 4.1.2. --- Edge-based Matching by Propagation --- p.82 / Chapter 4.2 --- Remedy Matching Sparseness by Interpolation --- p.84 / Chapter 4.2 --- Disparity Applications in Video Conference Segmentation --- p.92 / Chapter 4.3 --- Conclusion --- p.106 / Chapter Chapter 5 --- Conclusion and Future Work --- p.108 / Chapter 5.1 --- Conclusion and Contribution --- p.108 / Chapter 5.2 --- Future work --- p.109 / Reference --- p.112
3

A framework for video annotation, visualization, and interaction /

Goldman, Daniel R. January 2007 (has links)
Thesis (Ph. D.)--University of Washington, 2007. / Vita. Includes bibliographical references (p. 100-107).
4

Video analysis in MPEG compressed domain /

Gu, Lifang. January 2002 (has links)
Thesis (Ph.D.)--University of Western Australia, 2003.
5

Continuous media in fast networks

Ang, Chu Suan January 1992 (has links)
No description available.
6

Congestion control for packetised video on the internet

Wakeman, Ian John January 1995 (has links)
No description available.
7

Video coding for reliable communications

Richardson, Iain Edward Garden January 1999 (has links)
No description available.
8

Performance evaluation and optimisation of the DVB/DAVIC cable modem protocol

Licea, Victor Rangel January 2002 (has links)
No description available.
9

Performance and computational complexity optimization techniques in configurable video coding system

Kwon, Nyeongkyu. 10 April 2008 (has links)
No description available.
10

Variable block size motion estimation hardware for video encoders.

January 2007 (has links)
Li, Man Ho. / Thesis submitted in: November 2006. / Thesis (M.Phil.)--Chinese University of Hong Kong, 2007. / Includes bibliographical references (leaves 137-143). / Abstracts in English and Chinese. / Abstract --- p.i / Acknowledgement --- p.iv / Chapter 1 --- Introduction --- p.1 / Chapter 1.1 --- Motivation --- p.3 / Chapter 1.2 --- The objectives of this thesis --- p.4 / Chapter 1.3 --- Contributions --- p.5 / Chapter 1.4 --- Thesis structure --- p.6 / Chapter 2 --- Digital video compression --- p.8 / Chapter 2.1 --- Introduction --- p.8 / Chapter 2.2 --- Fundamentals of lossy video compression --- p.9 / Chapter 2.2.1 --- Video compression and human visual systems --- p.10 / Chapter 2.2.2 --- Representation of color --- p.10 / Chapter 2.2.3 --- Sampling methods - frames and fields --- p.11 / Chapter 2.2.4 --- Compression methods --- p.11 / Chapter 2.2.5 --- Motion estimation --- p.12 / Chapter 2.2.6 --- Motion compensation --- p.13 / Chapter 2.2.7 --- Transform --- p.13 / Chapter 2.2.8 --- Quantization --- p.14 / Chapter 2.2.9 --- Entropy Encoding --- p.14 / Chapter 2.2.10 --- Intra-prediction unit --- p.14 / Chapter 2.2.11 --- Deblocking filter --- p.15 / Chapter 2.2.12 --- Complexity analysis of on different com- pression stages --- p.16 / Chapter 2.3 --- Motion estimation process --- p.16 / Chapter 2.3.1 --- Block-based matching method --- p.16 / Chapter 2.3.2 --- Motion estimation procedure --- p.18 / Chapter 2.3.3 --- Matching Criteria --- p.19 / Chapter 2.3.4 --- Motion vectors --- p.21 / Chapter 2.3.5 --- Quality judgment --- p.22 / Chapter 2.4 --- Block-based matching algorithms for motion estimation --- p.23 / Chapter 2.4.1 --- Full search (FS) --- p.23 / Chapter 2.4.2 --- Three-step search (TSS) --- p.24 / Chapter 2.4.3 --- Two-dimensional Logarithmic Search Algorithm (2D-log search) --- p.25 / Chapter 2.4.4 --- Diamond Search (DS) --- p.25 / Chapter 2.4.5 --- Fast full search (FFS) --- p.26 / Chapter 2.5 --- Complexity analysis of motion estimation --- p.27 / Chapter 2.5.1 --- Different searching algorithms --- p.28 / Chapter 2.5.2 --- Fixed-block size motion estimation --- p.28 / Chapter 2.5.3 --- Variable block size motion estimation --- p.29 / Chapter 2.5.4 --- Sub-pixel motion estimation --- p.30 / Chapter 2.5.5 --- Multi-reference frame motion estimation . --- p.30 / Chapter 2.6 --- Picture quality analysis --- p.31 / Chapter 2.7 --- Summary --- p.32 / Chapter 3 --- Arithmetic for video encoding --- p.33 / Chapter 3.1 --- Introduction --- p.33 / Chapter 3.2 --- Number systems --- p.34 / Chapter 3.2.1 --- Non-redundant Number System --- p.34 / Chapter 3.2.2 --- Redundant number system --- p.36 / Chapter 3.3 --- Addition/subtraction algorithm --- p.38 / Chapter 3.3.1 --- Non-redundant number addition --- p.39 / Chapter 3.3.2 --- Carry-save number addition --- p.39 / Chapter 3.3.3 --- Signed-digit number addition --- p.40 / Chapter 3.4 --- Bit-serial algorithms --- p.42 / Chapter 3.4.1 --- Least-significant-bit (LSB) first mode --- p.42 / Chapter 3.4.2 --- Most-significant-bit (MSB) first mode --- p.43 / Chapter 3.5 --- Absolute difference algorithm --- p.44 / Chapter 3.5.1 --- Non-redundant algorithm for absolute difference --- p.44 / Chapter 3.5.2 --- Redundant algorithm for absolute difference --- p.45 / Chapter 3.6 --- Multi-operand addition algorithm --- p.47 / Chapter 3.6.1 --- Bit-parallel non-redundant adder tree implementation --- p.47 / Chapter 3.6.2 --- Bit-parallel carry-save adder tree implementation --- p.49 / Chapter 3.6.3 --- Bit serial signed digit adder tree implementation --- p.49 / Chapter 3.7 --- Comparison algorithms --- p.50 / Chapter 3.7.1 --- Non-redundant comparison algorithm --- p.51 / Chapter 3.7.2 --- Signed-digit comparison algorithm --- p.52 / Chapter 3.8 --- Summary --- p.53 / Chapter 4 --- VLSI architectures for video encoding --- p.54 / Chapter 4.1 --- Introduction --- p.54 / Chapter 4.2 --- Implementation platform - (FPGA) --- p.55 / Chapter 4.2.1 --- Basic FPGA architecture --- p.55 / Chapter 4.2.2 --- DSP blocks in FPGA device --- p.56 / Chapter 4.2.3 --- Advantages employing FPGA --- p.57 / Chapter 4.2.4 --- Commercial FPGA Device --- p.58 / Chapter 4.3 --- Top level architecture of motion estimation processor --- p.59 / Chapter 4.4 --- Bit-parallel architectures for motion estimation --- p.60 / Chapter 4.4.1 --- Systolic arrays --- p.60 / Chapter 4.4.2 --- Mapping of a motion estimation algorithm onto systolic array --- p.61 / Chapter 4.4.3 --- 1-D systolic array architecture (LA-ID) --- p.63 / Chapter 4.4.4 --- 2-D systolic array architecture (LA-2D) --- p.64 / Chapter 4.4.5 --- 1-D Tree architecture (GA-1D) --- p.64 / Chapter 4.4.6 --- 2-D Tree architecture (GA-2D) --- p.65 / Chapter 4.4.7 --- Variable block size support in bit-parallel architectures --- p.66 / Chapter 4.5 --- Bit-serial motion estimation architecture --- p.68 / Chapter 4.5.1 --- Data Processing Direction --- p.68 / Chapter 4.5.2 --- Algorithm mapping and dataflow design . --- p.68 / Chapter 4.5.3 --- Early termination scheme --- p.69 / Chapter 4.5.4 --- Top-level architecture --- p.70 / Chapter 4.5.5 --- Non redundant positive number to signed digit conversion --- p.71 / Chapter 4.5.6 --- Signed-digit adder tree --- p.73 / Chapter 4.5.7 --- SAD merger --- p.74 / Chapter 4.5.8 --- Signed-digit comparator --- p.75 / Chapter 4.5.9 --- Early termination controller --- p.76 / Chapter 4.5.10 --- Data scheduling and timeline --- p.80 / Chapter 4.6 --- Decision metric in different architectural types . . --- p.80 / Chapter 4.6.1 --- Throughput --- p.81 / Chapter 4.6.2 --- Memory bandwidth --- p.83 / Chapter 4.6.3 --- Silicon area occupied and power consump- tion --- p.83 / Chapter 4.7 --- Architecture selection for different applications . . --- p.84 / Chapter 4.7.1 --- CIF and QCIF resolution --- p.84 / Chapter 4.7.2 --- SDTV resolution --- p.85 / Chapter 4.7.3 --- HDTV resolution --- p.85 / Chapter 4.8 --- Summary --- p.86 / Chapter 5 --- Results and comparison --- p.87 / Chapter 5.1 --- Introduction --- p.87 / Chapter 5.2 --- Implementation details --- p.87 / Chapter 5.2.1 --- Bit-parallel 1-D systolic array --- p.88 / Chapter 5.2.2 --- Bit-parallel 2-D systolic array --- p.89 / Chapter 5.2.3 --- Bit-parallel Tree architecture --- p.90 / Chapter 5.2.4 --- MSB-first bit-serial design --- p.91 / Chapter 5.3 --- Comparison between motion estimation architectures --- p.93 / Chapter 5.3.1 --- Throughput and latency --- p.93 / Chapter 5.3.2 --- Occupied resources --- p.94 / Chapter 5.3.3 --- Memory bandwidth --- p.95 / Chapter 5.3.4 --- Motion estimation algorithm --- p.95 / Chapter 5.3.5 --- Power consumption --- p.97 / Chapter 5.4 --- Comparison to ASIC and FPGA architectures in past literature --- p.99 / Chapter 5.5 --- Summary --- p.101 / Chapter 6 --- Conclusion --- p.102 / Chapter 6.1 --- Summary --- p.102 / Chapter 6.1.1 --- Algorithmic optimizations --- p.102 / Chapter 6.1.2 --- Architecture and arithmetic optimizations --- p.103 / Chapter 6.1.3 --- Implementation on a FPGA platform . . . --- p.104 / Chapter 6.2 --- Future work --- p.106 / Chapter A --- VHDL Sources --- p.108 / Chapter A.1 --- Online Full Adder --- p.108 / Chapter A.2 --- Online Signed Digit Full Adder --- p.109 / Chapter A.3 --- Online Pull Adder Tree --- p.110 / Chapter A.4 --- SAD merger --- p.112 / Chapter A.5 --- Signed digit adder tree stage (top) --- p.116 / Chapter A.6 --- Absolute element --- p.118 / Chapter A.7 --- Absolute stage (top) --- p.119 / Chapter A.8 --- Online comparator element --- p.120 / Chapter A.9 --- Comparator stage (top) --- p.122 / Chapter A.10 --- MSB-first motion estimation processor --- p.134 / Bibliography --- p.137

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