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Content analysis and summarization for video documents. / Content analysis & summarization for video documents

Lu, Shi. / Thesis submitted in: December 2004. / Thesis (M.Phil.)--Chinese University of Hong Kong, 2005. / Includes bibliographical references (leaves 100-109). / Abstracts in English and Chinese. / Abstract --- p.ii / Acknowledgement --- p.vi / Chapter 1 --- Introduction --- p.1 / Chapter 1.1 --- Motivation and Objectives --- p.1 / Chapter 1.2 --- Our Contributions --- p.3 / Chapter 1.3 --- Thesis Outline --- p.4 / Chapter 2 --- Related Work --- p.6 / Chapter 2.1 --- Static Video Summary --- p.6 / Chapter 2.2 --- Dynamic Video Skimming --- p.10 / Chapter 2.3 --- Summary --- p.14 / Chapter 3 --- Greedy Method Based Skim Generation --- p.16 / Chapter 3.1 --- Selected Video Features for Video Summarization --- p.17 / Chapter 3.2 --- Video Summarization Problem --- p.18 / Chapter 3.3 --- Experiments --- p.22 / Chapter 3.4 --- Summary --- p.25 / Chapter 4 --- Video Structure Analysis --- p.27 / Chapter 4.1 --- Video Shot Detection --- p.29 / Chapter 4.1.1 --- Shot Cut Detection --- p.30 / Chapter 4.1.2 --- Fade Detection --- p.35 / Chapter 4.2 --- Video Shot Group Construction --- p.38 / Chapter 4.2.1 --- Shot Pairwise Similarity Measure --- p.39 / Chapter 4.2.2 --- Video Shot Grouping by VToC --- p.41 / Chapter 4.2.3 --- Spectral Graph Partitioning --- p.42 / Chapter 4.3 --- Video Scene Detection --- p.46 / Chapter 4.4 --- Shot Arrangement Patterns --- p.48 / Chapter 4.5 --- Experiments --- p.50 / Chapter 4.6 --- Summary --- p.53 / Chapter 5 --- Graph Optimization-Based Video Summary Generation --- p.55 / Chapter 5.1 --- Video Scene Analysis --- p.56 / Chapter 5.1.1 --- Scene Content Entropy --- p.57 / Chapter 5.1.2 --- Target Skim Length Assignment --- p.58 / Chapter 5.2 --- Graph Modelling of Video Scenes --- p.59 / Chapter 5.2.1 --- Decompose the Video Scene into Candidate Video Strings --- p.60 / Chapter 5.2.2 --- The Spatial-Temporal Relation Graph --- p.61 / Chapter 5.2.3 --- The Optimal Skim Problem --- p.62 / Chapter 5.3 --- Graph Optimization --- p.64 / Chapter 5.4 --- Static Video Summary Generation --- p.65 / Chapter 5.5 --- Experiments --- p.68 / Chapter 5.6 --- Summary --- p.74 / Chapter 6 --- Video Content Annotation and Semantic Video Summarization --- p.75 / Chapter 6.1 --- Semantic Video Content Annotation --- p.77 / Chapter 6.1.1 --- Video Shot Segmentation --- p.77 / Chapter 6.1.2 --- Semi-Automatic Video Shot Annotation --- p.77 / Chapter 6.2 --- Video Structures and Semantics --- p.78 / Chapter 6.2.1 --- Video Structure Analysis --- p.78 / Chapter 6.2.2 --- Video Structure and Video Edit Process --- p.80 / Chapter 6.2.3 --- Mutual Reinforcement and Semantic Video Shot Group Detection --- p.81 / Chapter 6.3 --- Semantic Video Summarization --- p.84 / Chapter 6.3.1 --- Summarization Requests and Goals --- p.84 / Chapter 6.3.2 --- Determine the Sub-Skimming Length for Each Scene --- p.85 / Chapter 6.3.3 --- Extracting Video Shots by String Analysis --- p.86 / Chapter 6.4 --- Experiments --- p.88 / Chapter 6.5 --- Summary --- p.92 / Chapter 7 --- Concluding Remarks --- p.93 / Chapter 7.1 --- Summary --- p.93 / Chapter 7.2 --- Future Work --- p.95 / Chapter A --- Notations --- p.97 / Bibliography --- p.100

Identiferoai:union.ndltd.org:cuhk.edu.hk/oai:cuhk-dr:cuhk_325299
Date January 2005
ContributorsLu, Shi., Chinese University of Hong Kong Graduate School. Division of Computer Science and Engineering.
Source SetsThe Chinese University of Hong Kong
LanguageEnglish, Chinese
Detected LanguageEnglish
TypeText, bibliography
Formatprint, xii, 109 leaves : ill. ; 30 cm.
RightsUse of this resource is governed by the terms and conditions of the Creative Commons “Attribution-NonCommercial-NoDerivatives 4.0 International” License (http://creativecommons.org/licenses/by-nc-nd/4.0/)

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