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Xiong, Jiani. / "July 2010." / Thesis (M.Phil.)--Chinese University of Hong Kong, 2010. / Includes bibliographical references (p. 59-63). / Abstracts in English and Chinese. / Chapter 1 --- Introduction --- p.1 / Chapter 1.1 --- Background --- p.1 / Chapter 1.2 --- Motivation --- p.4 / Chapter 1.3 --- Our Approach --- p.8 / Chapter 1.4 --- Potential Applications --- p.12 / Chapter 1.5 --- Research Contributions --- p.13 / Chapter 1.6 --- Thesis Organization --- p.15 / Chapter 2 --- Literature Survey --- p.16 / Chapter 2.1 --- Supervised Extraction Approaches --- p.16 / Chapter 2.2 --- Unsupervised Extraction Approaches --- p.19 / Chapter 2.3 --- Attribute Normalization --- p.21 / Chapter 2.4 --- Integrated Approaches --- p.22 / Chapter 3 --- Problem Definition and Preliminaries --- p.24 / Chapter 3.1 --- Problem Definition --- p.24 / Chapter 3.2 --- Preliminaries --- p.27 / Chapter 3.2.1 --- Web Pre-processing --- p.27 / Chapter 3.2.2 --- Overview of Our Framework --- p.31 / Chapter 3.2.3 --- Background of Graphical Models --- p.32 / Chapter 4 --- Our Proposed Framework --- p.36 / Chapter 4.1 --- Our Proposed Graphical Model --- p.36 / Chapter 4.2 --- Inference --- p.41 / Chapter 4.3 --- Product Attribute Information Determination --- p.47 / Chapter 5 --- Experiments and Results --- p.49 / Chapter 6 --- Conclusion --- p.57 / Bibliography --- p.59 / Chapter A --- Dirichlet Process --- p.64 / Chapter B --- Hidden Markov Models --- p.68

Wong, Yuk Man. / Thesis (M.Phil.)--Chinese University of Hong Kong, 2007. / Includes bibliographical references (leaves 95-100). / Abstracts in English and Chinese. / Abstract --- p.ii / Acknowledgement --- p.v / Chapter 1 --- Introduction --- p.1 / Chapter 1.1 --- Overview --- p.1 / Chapter 1.2 --- Contribution --- p.3 / Chapter 1.3 --- Organization of This Work --- p.5 / Chapter 2 --- Literature Review --- p.6 / Chapter 2.1 --- Content-based Image Retrieval --- p.6 / Chapter 2.1.1 --- Query Technique --- p.6 / Chapter 2.1.2 --- Relevance Feedback --- p.7 / Chapter 2.1.3 --- Previously Proposed CBIR systems --- p.7 / Chapter 2.2 --- Invariant Local Feature --- p.8 / Chapter 2.3 --- Invariant Local Feature Detector --- p.9 / Chapter 2.3.1 --- Harris Corner Detector --- p.9 / Chapter 2.3.2 --- DOG Extrema Detector --- p.10 / Chapter 2.3.3 --- Harris-Laplacian Corner Detector --- p.13 / Chapter 2.3.4 --- Harris-Affine Covariant Detector --- p.14 / Chapter 2.4 --- Invariant Local Feature Descriptor --- p.15 / Chapter 2.4.1 --- Scale Invariant Feature Transform (SIFT) --- p.15 / Chapter 2.4.2 --- Shape Context --- p.17 / Chapter 2.4.3 --- PCA-SIFT --- p.18 / Chapter 2.4.4 --- Gradient Location and Orientation Histogram (GLOH) --- p.19 / Chapter 2.4.5 --- Geodesic-Intensity Histogram (GIH) --- p.19 / Chapter 2.4.6 --- Experiment --- p.21 / Chapter 2.5 --- Feature Matching --- p.27 / Chapter 2.5.1 --- Matching Criteria --- p.27 / Chapter 2.5.2 --- Distance Measures --- p.28 / Chapter 2.5.3 --- Searching Techniques --- p.29 / Chapter 3 --- A Distributed Scheme for Large-Scale CBIR --- p.31 / Chapter 3.1 --- Overview --- p.31 / Chapter 3.2 --- Related Work --- p.33 / Chapter 3.3 --- Scalable Content-Based Image Retrieval Scheme --- p.34 / Chapter 3.3.1 --- Overview of Our Solution --- p.34 / Chapter 3.3.2 --- Locality-Sensitive Hashing --- p.34 / Chapter 3.3.3 --- Scalable Indexing Solutions --- p.35 / Chapter 3.3.4 --- Disk-Based Multi-Partition Indexing --- p.36 / Chapter 3.3.5 --- Parallel Multi-Partition Indexing --- p.37 / Chapter 3.4 --- Feature Representation --- p.43 / Chapter 3.5 --- Empirical Evaluation --- p.44 / Chapter 3.5.1 --- Experimental Testbed --- p.44 / Chapter 3.5.2 --- Performance Evaluation Metrics --- p.44 / Chapter 3.5.3 --- Experimental Setup --- p.45 / Chapter 3.5.4 --- Experiment I: Disk-Based Multi-Partition Indexing Approach --- p.45 / Chapter 3.5.5 --- Experiment II: Parallel-Based Multi-Partition Indexing Approach --- p.48 / Chapter 3.6 --- Application to WWW Image Retrieval --- p.55 / Chapter 3.7 --- Summary --- p.55 / Chapter 4 --- Image Retrieval System for IND Detection --- p.60 / Chapter 4.1 --- Overview --- p.60 / Chapter 4.1.1 --- Motivation --- p.60 / Chapter 4.1.2 --- Related Work --- p.61 / Chapter 4.1.3 --- Objective --- p.62 / Chapter 4.1.4 --- Contribution --- p.63 / Chapter 4.2 --- Database Construction --- p.63 / Chapter 4.2.1 --- Image Representations --- p.63 / Chapter 4.2.2 --- Index Construction --- p.64 / Chapter 4.2.3 --- Keypoint and Image Lookup Tables --- p.67 / Chapter 4.3 --- Database Query --- p.67 / Chapter 4.3.1 --- Matching Strategies --- p.68 / Chapter 4.3.2 --- Verification Processes --- p.71 / Chapter 4.3.3 --- Image Voting --- p.75 / Chapter 4.4 --- Performance Evaluation --- p.76 / Chapter 4.4.1 --- Evaluation Metrics --- p.76 / Chapter 4.4.2 --- Results --- p.77 / Chapter 4.4.3 --- Summary --- p.81 / Chapter 5 --- Shape-SIFT Feature Descriptor --- p.82 / Chapter 5.1 --- Overview --- p.82 / Chapter 5.2 --- Related Work --- p.83 / Chapter 5.3 --- SHAPE-SIFT Descriptors --- p.84 / Chapter 5.3.1 --- Orientation assignment --- p.84 / Chapter 5.3.2 --- Canonical orientation determination --- p.84 / Chapter 5.3.3 --- Keypoint descriptor --- p.87 / Chapter 5.4 --- Performance Evaluation --- p.88 / Chapter 5.5 --- Summary --- p.90 / Chapter 6 --- Conclusions and Future Work --- p.92 / Chapter 6.1 --- Conclusions --- p.92 / Chapter 6.2 --- Future Work --- p.93 / Chapter A --- Publication --- p.94 / Bibliography --- p.95

Typescript (photocopy). / Digitized by Kansas Correctional Industries

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Thesis. 1977. M.S.--Massachusetts Institute of Technology. Dept. of Architecture. / MICROFICHE COPY AVAILABLE IN ARCHIVES AND ROTCH. VIDEOCASSETTE IN ARCHIVES AND ROTCH VISUAL COLLECTIONS. / M.S.

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Content-based indexing and retrieval has emerged as an important area in computer vision and multimedia computing. Current solutions for searching image data primarily deal with associated text and low-level image features. Humans tend to use high-level concepts in everyday life; user queries are typically based on higher-level semantics and not low-level image features. However, what current computer vision techniques can automatically extract from images are mostly low-level visual features. To narrow down this semantic gap, some off-line and on-line processing is needed. The state-of-the-art image retrieval approach is to incorporate image semantics with low-level visual primitives to enhance the retrieval performance. Unfortunately the current mainstream of the image retrieval technologies in most web search engines is keyword-based retrieval; they have not explored the full potential of semantics of an image through effective use of its nearby text. Therefore I propose an image retrieval system that captures semantics of an image through effective use of its associated text and use integrated system architecture for keyword-based retrieval with low-level image features to enhance retrieval of images on the web. I have developed a new image retrieval system that enhances retrieval of images on the web through optimum. I conducted a preliminary study on collection of images obtained from HTML documents on the web. Based on my findings on text associated with the image, I have identified the textual contents of page title, image title, image alternate text, image caption and Meta tags are well related to an embedded image. These keywords lists have different significance in identifying the image semantics. I comparatively evaluate the performance of each keyword list exclusively to study their impact on overall retrieval effectiveness. The major contribution of my work included a full-scale development and implementation of the new image retrieval system I-Search. The system was based on an enhanced image representation that exploits the vast power of image semantics from the text associated with the images and higher-level semantic categories based on low-level image features of the images. The user-interface was designed to allow the user to communicate keywords based query and semantic categories to the image retrieval system. The performance of this new image retrieval system I-Search was compared with GoogleTM and YahooTM. Our analysis of this experiment confirmed that the integration of text associated with an image and low-level image features will lead to efficient retrieval system for content-based indexing of images on the web and will in fact substantially enhance the image searching capabilities on the web. / Doctor of Philosophy (PhD)

Business information systems have been targets for rapid application development because potential productivity gains can translate into huge returns on investment for organizations. However, to realize the perceived productivity improvement presents a major challenge to today?s information systems managers and requires new development approaches. End user computing is an approach to reduce the backlog of user requests for information needs through which end users are given the software tools to create their own reports and extract the information they need. Some end-users attempted to build their own information systems with fourth generation language (4GL) but failed partly due to the programming skills required of them. Although fourth generation languages have been promoted as a means to enhance programmer productivity by an order of magnitude more, later studies by researchers showed less dramatic results. The many problems and deficiencies of 4GL created obstacles to achieve spectacular improvement in productivity as promoted. A new knowledge-based approach to rapid business information systems development is attempted in this study to overcome the shortcomings of 4GL. A prototype system consisting of a knowledgebase is integrated with an object-oriented application generator to alleviate the need for conventional programming skills. Typical information system functionalities of database creation and updating are provided through a framework of reusable business information system components. These are object classes arranged and instantiated in a certain way directed by a specification language. The knowledgebase enables the translation of user requirements via the specification language that explicitly avoids the prerequisite programming skills required of the developer. The specification language is non-procedural in that specifications can be specified in any order. It does not follow the basic programming language constructs of sequence, decision and repetition. Additionally, the customizable rules allow the developer to validate the specifications before generating the desired application. Maintenance and enhancement of the generated application is modified by regenerating from the modified knowledge-based facts and rules, at a higher level than conventional programming languages or even 4GL. Experiments with small groups of end-users and developers found this approach to be viable. Although the specification process is tedious, no programming skills were ever required other than spreadsheet like expressions. The absence of programming logic prevents most of the errors caused by newly constructed information systems. Testing is still required, but the remedies are much easier. In conclusion, the study has demonstrated the feasibility of a knowledge-based approach to rapid system development of business information systems. This approach enables technical and end-user alike to rapidly develop such systems without programming. The application generator is built with reusable business information system components that can be added and extended to support more capabilities. The knowledgebase can be enhanced with corresponding new rules and facts to enable the user developer to build new functionalities into existing or new systems. Business information system development can be lifted to a higher-level than procedural specifications, and assisted by knowledge-based inference to achieve spectacular productivity improvements. / thesis (PhD)--University of South Australia, 2005.

Oral communication processes in organisations are complex. Verbal interactions, social contexts including cross-functional organisational culture, and emerging information systems projects, present staff with bewildering issues to deal with through communication processes. To explore communication in this rich setting, the research reported in this thesis applied a social perspective to the functions of oral communication processes, drawing on ideas from two appropriate systems for model development, to construct a generic interpretive methodological model for participatory soft systems methodology in action research. The model aims to examine organisational social contexts through the eyes of front line staff, and attempts to construct new perspectives through actively participating and communicating with stakeholders on various levels. The situated inquiry is concerned with communication practices and behaviours in the context of implementing information systems modules in public sector, higher education institutions.The research closely examines the established communication processes and behaviours between stakeholders of the information systems enveloped within the organisation’s culture to ascertain certain issues, reasons and solutions to overcome current problems suffered by the ‘human element’ as a whole when attempting to implement a quality information systems module to meet both direct, and indirect stakeholders expectations. Using Grounded Theory, an innovative methodological framework emerged as a result of conducting the research within the selected situated inquiry. The Progressive Learning Process model was implemented to further enhance stakeholder’s communicative behaviours and practices. This multifaceted model is comprised of interlinked, and overlapping phases; those are: (a) co-operative inquiry methods, to determine social context and culture, which included purposeful recruitment of participants, and used an assortment of methods; (b) reflections and discourse analysis, which included various processes, and counselling approach to constructing new realities and jump starting change through collaboration and open dialogue; (c) purposeful action, which included putting ideas and theory into practice to create further ideas and theory. Applying the selected methodology to the situated inquiry appears to preserve complexities of communication in organisational setting, and enhance individuals capabilities that are required when managing expectations of Senior Management. / Doctor of Philosophy (PhD)