Automatic caption generation for content-based image information retrieval.

• Other Authors: Ma, Ka Ho.
• Format: Others
• Language: English; Chinese
• Published: 1999
• Subjects: Image processing > Digital techniques; Information storage and retrieval systems
• Online Access: http://library.cuhk.edu.hk/record=b5890055; http://repository.lib.cuhk.edu.hk/en/item/cuhk-322754

Ma, Ka Ho. === Thesis (M.Phil.)--Chinese University of Hong Kong, 1999. === Includes bibliographical references (leaves 82-87). === Abstract and appendix in English and Chinese. === Chapter 1 --- Introduction --- p.1 === Chapter 1.1 --- Objective of This Research --- p.4 === Chapter 1.2 --- Organization of This Thesis --- p.5 === Chapter 2 --- Background --- p.6 === Chapter 2.1 --- Textual - Image Query Approach --- p.7 === Chapter 2.1.1 --- Yahoo! Image Surfer --- p.7 === Chapter 2.1.2 --- QBIC (Query By Image Content) --- p.8 === Chapter 2.2 --- Feature-based Approach --- p.9 === Chapter 2.2.1 --- Texture Thesaurus for Aerial Photos --- p.9 === Chapter 2.3 --- Caption-aided Approach --- p.10 === Chapter 2.3.1 --- PICTION (Picture and capTION) --- p.10 === Chapter 2.3.2 --- MARIE --- p.11 === Chapter 2.4 --- Summary --- p.11 === Chapter 3 --- Caption Generation --- p.13 === Chapter 3.1 --- System Architecture --- p.13 === Chapter 3.2 --- Domain Pool --- p.15 === Chapter 3.3 --- Image Feature Extraction --- p.16 === Chapter 3.3.1 --- Preprocessing --- p.16 === Chapter 3.3.2 --- Image Segmentation --- p.17 === Chapter 3.4 --- Classification --- p.24 === Chapter 3.4.1 --- Self-Organizing Map (SOM) --- p.26 === Chapter 3.4.2 --- Learning Vector Quantization (LVQ) --- p.28 === Chapter 3.4.3 --- Output of the Classification --- p.30 === Chapter 3.5 --- Caption Generation --- p.30 === Chapter 3.5.1 --- Phase One: Logical Form Generation --- p.31 === Chapter 3.5.2 --- Phase Two: Simplification --- p.32 === Chapter 3.5.3 --- Phase Three: Captioning --- p.33 === Chapter 3.6 --- Summary --- p.35 === Chapter 4 --- Query Examples --- p.37 === Chapter 4.1 --- Query Types --- p.37 === Chapter 4.1.1 --- Non-content-based Retrieval --- p.38 === Chapter 4.1.2 --- Content-based Retrieval --- p.38 === Chapter 4.2 --- Hierarchy Graph --- p.41 === Chapter 4.3 --- Matching --- p.42 === Chapter 4.4 --- Summary --- p.48 === Chapter 5 --- Evaluation --- p.49 === Chapter 5.1 --- Experimental Set-up --- p.50 === Chapter 5.2 --- Experimental Results --- p.51 === Chapter 5.2.1 --- Segmentation --- p.51 === Chapter 5.2.2 --- Classification --- p.53 === Chapter 5.2.3 --- Captioning --- p.55 === Chapter 5.2.4 --- Overall Performance --- p.56 === Chapter 5.3 --- Observations --- p.57 === Chapter 5.4 --- Summary --- p.58 === Chapter 6 --- Another Application --- p.59 === Chapter 6.1 --- Police Force Crimes Investigation --- p.59 === Chapter 6.1.1 --- Image Feature Extraction --- p.61 === Chapter 6.1.2 --- Caption Generation --- p.64 === Chapter 6.1.3 --- Query --- p.66 === Chapter 6.2 --- An Illustrative Example --- p.68 === Chapter 6.3 --- Summary --- p.72 === Chapter 7 --- Conclusions --- p.74 === Chapter 7.1 --- Contribution --- p.77 === Chapter 7.2 --- Future Work --- p.78 === Bibliography --- p.81 === Appendices --- p.88 === Chapter A --- Segmentation Result Under Different Parametes --- p.89 === Chapter B --- Segmentation Time of 10 Randomly Selected Images --- p.90 === Chapter C --- Sample Captions --- p.93