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Automatic caption generation for content-based image information retrieval.

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

Identiferoai:union.ndltd.org:cuhk.edu.hk/oai:cuhk-dr:cuhk_322754
Date January 1999
ContributorsMa, Ka Ho., Chinese University of Hong Kong Graduate School. Division of Systems Engineering and Engineering Management.
Source SetsThe Chinese University of Hong Kong
LanguageEnglish, Chinese
Detected LanguageEnglish
TypeText, bibliography
Formatprint, ix, 94 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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