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Digital photo album management techniques: from one dimension to multi-dimension.January 2005 (has links)
Lu Yang. / Thesis submitted in: November 2004. / Thesis (M.Phil.)--Chinese University of Hong Kong, 2005. / Includes bibliographical references (leaves 96-103). / Abstracts in English and Chinese. / Abstract --- p.i / Acknowledgement --- p.iv / Chapter 1 --- Introduction --- p.1 / Chapter 1.1 --- Motivation --- p.1 / Chapter 1.2 --- Our Contributions --- p.3 / Chapter 1.3 --- Thesis Outline --- p.5 / Chapter 2 --- Background Study --- p.7 / Chapter 2.1 --- MPEG-7 Introduction --- p.8 / Chapter 2.2 --- Image Analysis in CBIR Systems --- p.11 / Chapter 2.2.1 --- Color Information --- p.13 / Chapter 2.2.2 --- Color Layout --- p.19 / Chapter 2.2.3 --- Texture Information --- p.20 / Chapter 2.2.4 --- Shape Information --- p.24 / Chapter 2.2.5 --- CBIR Systems --- p.26 / Chapter 2.3 --- Image Processing in JPEG Frequency Domain --- p.30 / Chapter 2.4 --- Photo Album Clustering --- p.33 / Chapter 3 --- Feature Extraction and Similarity Analysis --- p.38 / Chapter 3.1 --- Feature Set in Frequency Domain --- p.38 / Chapter 3.1.1 --- JPEG Frequency Data --- p.39 / Chapter 3.1.2 --- Our Feature Set --- p.42 / Chapter 3.2 --- Digital Photo Similarity Analysis --- p.43 / Chapter 3.2.1 --- Energy Histogram --- p.43 / Chapter 3.2.2 --- Photo Distance --- p.45 / Chapter 4 --- 1-Dimensional Photo Album Management Techniques --- p.49 / Chapter 4.1 --- Photo Album Sorting --- p.50 / Chapter 4.2 --- Photo Album Clustering --- p.52 / Chapter 4.3 --- Photo Album Compression --- p.56 / Chapter 4.3.1 --- Variable IBP frames --- p.56 / Chapter 4.3.2 --- Adaptive Search Window --- p.57 / Chapter 4.3.3 --- Compression Flow --- p.59 / Chapter 4.4 --- Experiments and Performance Evaluations --- p.60 / Chapter 5 --- High Dimensional Photo Clustering --- p.67 / Chapter 5.1 --- Traditional Clustering Techniques --- p.67 / Chapter 5.1.1 --- Hierarchical Clustering --- p.68 / Chapter 5.1.2 --- Traditional K-means --- p.71 / Chapter 5.2 --- Multidimensional Scaling --- p.74 / Chapter 5.2.1 --- Introduction --- p.75 / Chapter 5.2.2 --- Classical Scaling --- p.77 / Chapter 5.3 --- Our Interactive MDS-based Clustering --- p.80 / Chapter 5.3.1 --- Principal Coordinates from MDS --- p.81 / Chapter 5.3.2 --- Clustering Scheme --- p.82 / Chapter 5.3.3 --- Layout Scheme --- p.84 / Chapter 5.4 --- Experiments and Results --- p.87 / Chapter 6 --- Conclusions --- p.94 / Bibliography --- p.96
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