Sia Ka Cheung. / Thesis (M.Phil.)--Chinese University of Hong Kong, 2003. / Includes bibliographical references (leaves 85-91). / Abstracts in English and Chinese. / Abstract --- p.i / Acknowledgement --- p.iv / Chapter 1 --- Introduction --- p.1 / Chapter 1.1 --- Problem Statement --- p.1 / Chapter 1.2 --- Contributions --- p.3 / Chapter 1.3 --- Thesis Organization --- p.4 / Chapter 2 --- Background --- p.5 / Chapter 2.1 --- Content-Based Image Retrieval --- p.5 / Chapter 2.1.1 --- Feature Extraction --- p.6 / Chapter 2.1.2 --- Indexing and Retrieval --- p.7 / Chapter 2.2 --- Relevance Feedback --- p.7 / Chapter 2.2.1 --- Weight Updating --- p.9 / Chapter 2.2.2 --- Bayesian Formulation --- p.11 / Chapter 2.2.3 --- Statistical Approaches --- p.12 / Chapter 2.2.4 --- Inter-query Feedback --- p.12 / Chapter 2.3 --- Peer-to-Peer Information Retrieval --- p.14 / Chapter 2.3.1 --- Distributed Hash Table Techniques --- p.16 / Chapter 2.3.2 --- Routing Indices and Shortcuts --- p.17 / Chapter 2.3.3 --- Content-Based Retrieval in P2P Systems --- p.18 / Chapter 3 --- Parameter Estimation-Based Relevance Feedback --- p.21 / Chapter 3.1 --- Parameter Estimation of Target Distribution --- p.21 / Chapter 3.1.1 --- Motivation --- p.21 / Chapter 3.1.2 --- Model --- p.23 / Chapter 3.1.3 --- Relevance Feedback --- p.24 / Chapter 3.1.4 --- Maximum Entropy Display --- p.26 / Chapter 3.2 --- Self-Organizing Map Based Inter-Query Feedback --- p.27 / Chapter 3.2.1 --- Motivation --- p.27 / Chapter 3.2.2 --- Initialization and Replication of SOM --- p.29 / Chapter 3.2.3 --- SOM Training for Inter-query Feedback --- p.31 / Chapter 3.2.4 --- Target Estimation and Display Set Selection for Intra- query Feedback --- p.33 / Chapter 3.3 --- Experiment --- p.35 / Chapter 3.3.1 --- Study of Parameter Estimation Method Using Synthetic Data --- p.35 / Chapter 3.3.2 --- Performance Study in Intra- and Inter- Query Feedback . --- p.40 / Chapter 3.4 --- Conclusion --- p.42 / Chapter 4 --- Distributed COntent-based Visual Information Retrieval --- p.44 / Chapter 4.1 --- Introduction --- p.44 / Chapter 4.2 --- Peer Clustering --- p.45 / Chapter 4.2.1 --- Basic Version --- p.45 / Chapter 4.2.2 --- Single Cluster Version --- p.47 / Chapter 4.2.3 --- Multiple Clusters Version --- p.51 / Chapter 4.3 --- Firework Query Model --- p.53 / Chapter 4.4 --- Implementation and System Architecture --- p.57 / Chapter 4.4.1 --- Gnutella Message Modification --- p.57 / Chapter 4.4.2 --- Architecture of DISCOVIR --- p.59 / Chapter 4.4.3 --- Flow of Operations --- p.60 / Chapter 4.5 --- Experiments --- p.62 / Chapter 4.5.1 --- Simulation Model of the Peer-to-Peer Network --- p.62 / Chapter 4.5.2 --- Number of Peers --- p.66 / Chapter 4.5.3 --- TTL of Query Message --- p.70 / Chapter 4.5.4 --- Effects of Data Resolution on Query Efficiency --- p.73 / Chapter 4.5.5 --- Discussion --- p.74 / Chapter 4.6 --- Conclusion --- p.77 / Chapter 5 --- Future Works and Conclusion --- p.79 / Chapter A --- Derivation of Update Equation --- p.81 / Chapter B --- An Efficient Discovery of Signatures --- p.82 / Bibliography --- p.85
| Identifer | oai:union.ndltd.org:cuhk.edu.hk/oai:cuhk-dr:cuhk_324221 |
| Date | January 2003 |
| Contributors | Sia, Ka Cheung., Chinese University of Hong Kong Graduate School. Division of Computer Science and Engineering. |
| Source Sets | The Chinese University of Hong Kong |
| Language | English, Chinese |
| Detected Language | English |
| Type | Text, bibliography |
| Format | print, xi, 91 leaves : ill. ; 30 cm. |
| Rights | Use 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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