Binh Pham

• Queensland University of Technology

Reasoning with uncertain knowledge and belief has long been recognized as an important research issue in Artificial Intelligence (AI). Several methodologies have been proposed in the past, including knowledge-based systems, fuzzy sets, and probability theory. The prob- abilistic approach became popular mainly due to a knowledge representation frame...

The impact of urban development and climate change has created the impetus to monitor changes in the environment, particularly, the behaviour, habitat and movement of fauna species. The aim of this chapter is to present the design and development of a sensor network based on Smartphones to automatically collect and analyse acoustic and visual data...

The impact of urban development and climate change has created the impetus to monitor changes in the environment, particularly, the behaviour, habitat and movement of fauna species. The aim of this chapter is to present the design and development of a sensor network based on Smartphones to automatically collect and analyse acoustic and visual data...

The impact of urban development and climate change has created the impetus to monitor changes in the environment, particularly, the behaviour, habitat and movement of fauna species. The aim of this chapter is to present the design and development of a sensor network based on Smartphones to automatically collect and analyse acoustic and visual data...

In Australia, the Queensland fruit fly (B. tryoni), is the most destructive insect pest of horticulture, attacking nearly all fruit and vegetable crops. This project has researched and prototyped a system for monitoring fruit flies so that authorities can be alerted when a fly enters a crop in a more efficient manner than is currently used. This pa...

Information uncertainty which is inherent in many real world applications brings more complexity to the visualisation problem. Despite the increasing number of research papers found in the literature, much more work is needed. The aims of this chapter are threefold: (1) to provide a comprehensive analysis of the requirements of visualisation of inf...

Robust watermarks are suitable for copyright protection in a DRM scenario. On the other hand, fragile watermarks are good for tamper detection applications. Semi fragile watermarks possess some properties of both robust and fragile watermarks at a moderate level. The need for semi fragile watermarks arises from the requirements of content authentic...

As part of their journey of learning to research, doctoral candidates need to become members of their research community. In part, this involves coming to be aware of their field in ways that are shared amongst longer term members of the research community. One aspect of candidates’ experience we need to understand, therefore, involves how they 'se...

An object can often be uniquely identified by its shape, which is usually fairly invariant. However, when the search is for a type of object or an object category, there can be variations in object deformation (i.e. variations in body shapes) and articulation (i.e. joint movement by limbs) that complicate their detection. We present a system that c...

Cultural objects are increasingly generated and stored in digital form, yet effective methods for their indexing and retrieval still remain an important area of research. The main problem arises from the disconnection between the content-based indexing approach used by computer scientists and the description-based approach used by information scien...

Much research on 3D graphics collaboration has focused on improving collaborative viewing or enabling simple manipulations. There are, however, two major problems which are not yet resolved in collaborative environments. Simultaneous manipulation of a common 3D object by users can cause conflicts, and the integrity of the source 3D object will be c...

Information uncertainty is inherent in many problems and is often subtle and complicated to understand. Although visualization is a powerful means for exploring and understanding information, information uncertainty visualization is ad hoc and not widespread. This paper identifies two main barriers to the uptake of information uncertainty visualiza...

This paper presents a new approach for efficient 3D rendering on mobile devices, where selective rendering can be achieved with the help of 3D scene annotation. By taking advantage of first person environments in most 3D applications, we are able to annotate the flooring details of the 3D space. This allows 3D environments to be interfaced using a...

Cultural objects are increasingly stored and generated in digital form, yet effective methods for their indexing and retrieval still remain an open area of research. The main problem arises from the disconnection between the content-based indexing approach used by computer scientists and the description-based approach used by information scientists...

In this paper, we investigated the performance of bird species recognition using neural networks with different preprocessing methods and different sets of features. Context neural network architecture was designed to embed the dynamic nature of bird songs into inputs. We devised a noise reduction algorithm and effectively applied it to enhance bir...

Wikis have proved to be very effective collaboration and knowledge management tools in large variety of fields thanks to their simplicity and flexible nature. Another important development for the internet is the emergence of powerful mobile devices supported by fast and reliable wireless networks. The combination of these developments begs the que...

Hiding watermark information in medical image data files is one method of enhancing security and protecting patient privacy. However the research area of medical image watermarking has not been particularly active, partly due to concerns that any distortion could affect the diagnostic value of the medical image. These concerns can be addressed by e...

This paper discusses a new input model for camera- equipped mobile devices which is more efficient, intuitive and intelligent. This proposed model takes advantage of the motion captured from the camera: the general movement of both device and user. These movements are mapped to a three-dimension space and input methods are devised depending on...

Increasing transmission of medical images across multiple user systems raises concerns for image security. Hiding watermark information in medical image data files is one solution for enhancing security and privacy protection of data. Medical image watermarking however is not a widely studied area, due partially to speculations on loss in viewer pe...

Human emotional behavior, personality, and body language are the essential elements in the recognition of a believable synthetic story character. This paper presents an approach using story scripts and action descriptions in a form similar to the content description of storyboards to predict specific personality and emotional states. By adopting th...

To provide effective representation, search and retrieval of digital artworks, their semantics, context and symbolism should be considered. Existing metadata schemas were designed for other specific purposes and are too cumbersome to be modified to express these abstract concepts of digital artworks. We have designed a new metadata wrapper schema s...

In this demonstration, we will show how smartphones can be used as a platform for monitoring environmental change, particularly with respect to birdlife. We have researched and implemented a platform using Microsoft smartphones for remotely monitoring birds. The platform comprises smartphones running a custom application for recording bird song. Th...

To enable copyright protection and authentication, robust digital watermark can be embedded into multimedia contents imperceptibly. However, geometric distortions pose a significant threat to robust image watermarking because it can desynchronize the watermark information while preserving the visual quality. To overcome this, we developed an invari...

Geographic Information System (GIS) technology has many applications and plays a vital role in the majority of the daily operations by government and public administration. However, due to its technical complexity and cost, communities lacking the expertise and resources cannot benefit from this technology. The OpenCIS project, a user-friendly free...

Cultural aspects such as history, tradition, beliefs and social customs are often depicted in paintings, both explicitly and implicitly. This paper discusses our experience and difficulties encountered while creating a multimedia Vietnamese Traditional Paintings Gallery for the purpose of dissemination and analysis of information regarding the cult...

We present an approach using story scripts and action descriptions in a form similar to the content description of storyboards to predict specific personality and emotional states. By constructing a hierarchical fuzzy rule-based system we facilitate the personality and emotion control of the body language of dynamic story characters. Our ultimate g...

We present a general framework for pattern discovery and hypothesis exploration in spatio-temporal data sets that is based on delay-embedding. This is a remarkable method of nonlinear time-series analysis that allows the full phase-space behaviour of a system to be reconstructed from only a single observable (accessible variable). Recent extensions...

Content-based indexing is fundamental to support and sustain the ongoing growth of broadcasted sports video. The main challenge is to design extensible frameworks to detect and index highlight events. This paper presents: 1) A statistical-driven event detection approach that utilizes a minimum amount of manual knowledge and is based on a universal...

The explosion in the number of cameras surveilling the environment in recent years is generating a need for systems capable of analysing video streams for important events. This paper outlines a system for detecting noteworthy behaviours (from a security or surveillance perspective) which does not involve the enumeration of the event sequences of a...

Human emotional behavior and personality are essential elements in the recognition of a believable synthetic character. This paper examines the connections between human personality, emotion, and behavior used in an interactive storytelling system. We adopt the Abridged Big Five Circumplex Model (AB5C) of personality from psychology study as a basi...

A hybrid watermark that consists of a robust part and a fragile part can be used to serve multiple purposes. The robust part can protect copyright information, the fragile part can detect tampering, and their combination enables identification of attacks encountered. This paper analyses an overlap and a non-overlap implementation of the robust and...

Increasing amount of illicit image data transmitted via the internet has triggered the need to develop effective image mining systems for digital forensics purposes. This paper discusses the requirements of digital image forensics which underpin the design of our forensic image mining system. This system can be trained by a hierarchical Support Vec...

This paper proposes a visualization technique to support the modelling and management of large business process specifications. The technique uses a set of criteria to produce views of the specification that exclude less relevant features. The proposed approach consists of three steps: assessing the relevance of nodes, reducing the specification, a...

The collective consciousness of effective groups of researchers is characterized by shared understandings of their research object or territory. In this study, we adopted a phenomenographic approach to investigate information technology (IT) research, and its objects and territories, as they are constituted in the experience of IT researchers. Semi...

Complex fuzzy systems exist in many applications and effective visualisation is required to gain insights into the nature and working of these systems, especially in the implication of imprecision, its propagation and impacts on the quality and reliability of the outcomes. This paper presents a holistic approach towards the design of a visualisatio...

The growth of internet communications, multimedia storage capacity, and software sophistication triggered the need to protect intellectual property in digital media. Digital watermark can be inserted into images for copyright protection, copy protection, tamper detection and authentication. Unfortunately, geometrical robustness in digital image wat...

For some time now, image retrieval approaches have been developed that use low-level features, such as colour histograms, edge distributions and texture measures. What has been lacking in image retrieval approaches is the development of general methods for more structured object recognition. This paper describes in detail a general hierarchical ima...

To sustain an ongoing rapid growth of video information, there is an emerging demand for a sophisticated content-based video indexing system. However, current video indexing solutions are still immature and lack of any standard. This doctoral consists of a research work based on an integrated multi-modal approach for sports video indexing and retri...

Due to the repetitive and lengthy nature, automatic content-based summarization is essential to extract a more compact and interesting representation of sport video. State-of-the art approaches have confirmed that high-level semantic in sport video can be detected based on the occurrences of specific audio and visual features (also known as cinemat...

Digital watermarking techniques have been proposed to protect the copyright of multimedia data. Robustness against geometric distortion is one of the most important issues to be solved to increase the robustness of digital image watermarking systems. Such attacks are very simple to implement, so they can defeat most existing watermarking algorithms...

The essential performance metrics of a robust watermark include robustness, imperceptibility, watermark capacity and security. In addition, computational cost is important for practicality. Wavelet-based image watermarking methods exploit the frequency information and spatial information of the transformed data in multiple resolutions to gain...

Medical images in digital form must be stored in a secure way to preserve stringent image quality standards and prevent unauthorised disclosure of patient data. This paper proposes a multiple watermarking method to serve these purposes. A multiple watermark consists of an annotation part and a fragile part. Encrypted patient data can be embedded i...

An increasing amount of freely available Geographic Information System (GIS) data on the Internet has stimulated recent research into Geographic Information Retrieval (GIR). Typically, GIR looks at the problem of retrieving GIS datasets on a theme by theme basis. However in practice, themes are generally not analysed in isolation. More often than n...

Agent-based modelling offers a way to break from the crude assumptions of mean-field type models, which ignore space correlations between elements of the system and replace local interactions with uniform long-range ones. Multi-Agent Systems (MAS) explicitly model spatially distributed individuals; however the richness of such a model can also be a...

Summarization is an essential requirement for achieving a more compact and interesting representation of sports video contents. We propose a framework that integrates highlights into play segments and reveal why we should still retain breaks. Experimental results show that fast detections of whistle sounds, crowd excitement, and text boxes can comp...

This paper introduces a Cellular Automata (CA) approach to spatiotemporal data mining (STDM). The recently increasing interest in using Genetic Algorithms and other evolutionary techniques to identify CA model parameters has been mainly focused on performing artificial computational tasks such as density classification. This work investigates the p...

In this paper, we propose a model for discovering frequent sequential patterns, phrases, which can be used as profile descriptors of documents. It is indubitable that we can obtain numerous phrases using data mining algorithms. However, it is difficult to use these phrases effectively for answering what users want. Therefore, we present a pattern t...

An effective scheme for soccer summarization is significant to improve the usage of this massively growing video data. The paper presents an extension to our recent work which proposed a framework to integrate highlights into play-breaks to construct more complete soccer summaries. The current focus is to demonstrate the benefits of detecting some...

Visual inspection of the tongue has been an important diagnostic method of Traditional Chinese Medicine (TCM). Clinic data have shown significant connections between various viscera cancers and abnormalities in the tongue and the tongue coating. Visual inspection of the tongue is simple and inexpensive, but the current practice in TCM is mainly exp...

The information technology research community, comprising both academic and industry stakeholders, is responding to national and international imperatives that challenge disparate groups to work together. In this article it is shown how, within both academic and industrial contexts, researchers interpret, or constitute, the significance and value o...

Content-based image retrieval (CBIR) has been investigated extensively in the past decade in order to classify and search images according to similarities derived from automatically extracted visual features, such as colours, textures and object shapes. It has now been realised that two fundamental problems in CBIR, namely, feature extraction and s...

Existing geographic information systems (GIS) are intended for expert users and consequently, do not provide any machine intelligence to assist users. This paper presents a Bayesian framework that will incorporate expert knowledge in order to retrieve all relevant datasets given an initial user query. The framework uses a spatial model that combine...

People can usually sense troubles in a car from noises, vibrations, or smells. An experienced driver can even tell where the problem is. We call this kind of skill ‘Ambient Diagnostics’. Ambient Diagnostics is an emerging field that is aimed at detecting abnormities from seemly disconnected ambient data that we take for granted. For example, the h...

Growing demand for ubiquitous and pervasive computing has triggered a sharp rise in handheld device usage. At the same time, dynamic multimedia data has become accepted as core material which many important applications depend on, despite intensive costs in computation and resources. This paper investigates the suitability and constraints of using...

At the conceptual stage of design, designers only have vague ideas of initial shapes which they gradually refine. These imprecise shapes may be specified by a set of fuzzy shape descriptors which represent the intent of a designer. It is also desirable to be able to save them in a database for future reference or for use as initial shapes for new d...

To enable content-based retrieval, highlights extraction from broadcasted sport video has been an active research topic in the last decade. There is a well-known theory that high-level semantic, such as goal in soccer can be detected based on the occurrences of specific audio and visual features that can be extracted automatically. However, there i...

The trend toward globalisation of products and services has brought a strong economic imperative to the development of general methods for the localisation of software to different cultural environments. While ad hoc localisation may satisfy immediate commercial objectives, its extension to multiple locales is not cost-effective and an integrated s...

Present fuzzy system visualisations while being useful, have been ad hoc in nature. In this paper we present a new integrated task-oriented approach to the visualisation of fuzzy logic systems. In addition, this approach is incorporated into an agent-based software architecture to guide the user through the process of developing a fuzzy logic syste...

Complex fuzzy systems exist in many applications and effective visualisation is required to gain insights in the nature and working of these systems, especially in the implication of impreciseness, its propagation and impacts on the quality and reliability of the outcomes. This paper presents a design of a visualisation system based on multi-agent...

This paper studies the problem of creating artificial fish for real-time interactive virtual worlds aimed at desktop environments with hardware 3D support. The artificial fish developed have the ability to move, sense and think. Each fish is modelled with a Keyframed skeletal animated body, semi-physics based movement model, sensory abilities, inte...

Present ray tracing algorithms are computationally intensive, requiring hours of computing time for complex scenes. Our previous work has dealt with the development of an overall approach to the application of visual attention to progressive and adaptive ray-tracing techniques. The approach facilitates large computational savings by modulating the...

Many substantial geographic information systems (GIS) have been designed for use by expert users. As a result, non-expert users often find them difficult to use. This paper presents a framework to facilitate the use of such GIS by non-expert users. The framework achieves this by allowing the creation of vague visual queries which use data abstracti...

To manage the massive growth of sport videos, we need to summarize the contents into a more compact and interesting representation. Unlike previous work which summarized either highlights or play scenes, we propose a unified summarization scheme which integrates both highlights and play-break scenes. For automation of the process, combination of au...

Modern real-time graphics systems are required to render millions of polygons to the screen per second. However, even with this high polygon rendering bandwidth, there are still applications which tax this rendering capability. We introduce in this paper a technique which adaptively allocates polygons to objects in a scene according to their visual...

This paper provides a comprehensive analysis of the working and requirements of fuzzy systems with the view to devise appropriate visualisation framework and techniques for these systems using a user- and task-oriented approach. We firstly discuss the nature of fuzzy data and the essential components of typical fuzzy systems, then categorise differ...

The trend toward globalisation of products and services has brought a strong economic imperative to the development of general methods for the localisation of software to different cultural environments. While ad hoc, bolt-on localisation may satisfy immediate commercial objectives, its extension to multiple locales is not cost-effective and an int...

Several domain specific approaches for sports video management have shown the benefits of integrating low- and high- level video contents in supporting more robust retrieval. However, there are very little work has shown how to integrate them in order to support different types of sports. In this paper, we firstly propose a framework for customizab...

The primary aim of this research project is to develop a generic framework and methodologies that will enable the augmentation of expert knowledge with knowledge extracted from multimedia sources such as text and pictures, for the purpose of classification and analysis. For evaluation and testing purposes of this research study, a furniture design...

The paper studies the problem of information uncertainty evaluation in modern engineering and technology applications, and especially the system design. It analyses the virtual environment design and engineering measurement. Information typical for those applications is classified according to its uncertainty types. Uncertainty sources are identifi...

Increasing demand in mobile computing and multimedia market as well as other embedded devices has made it necessary to develop computer vision techniques which are more appropriate for these systems. This paper firstly analyses requirements for embedded vision systems and issues involved in programming optimisation to meet these requirements. Two c...

This paper discusses methods for indexing, retrieving and querying a fuzzy shape database which is constructed to support shape design. Fuzzy data processing and fuzzy querying functions are integrated into a fuzzy relational database model, using a possibility-based framework

At the conceptual stage of design, designers have only vague ideas of initial shapes that they gradually refine. A tool that supports conceptual design should capture such imprecise features but current CAD systems that are based on precise geometry and topology information cannot satisfy this requirement. The fuzzy set approach is particularly sui...

We present the results of an investigation into the recognition a design style by analysing keywords in the text descriptions of design styles. A simple keyword-based matching technique is used to classify a design style by examining its text description. Domain specific dictionaries of keywords are used to reduce the dimensions of the feature spac...

Experiments have shown that viewers only regard certain informative regions within a presented image. Furthermore, it has been shown that these regions of interest contain low level feature differences that influence the fixation time of the viewer. We present a fuzzy logic model of visual attention which seeks to compute the relative visual import...

Many decisions need to be made based on imprecise or incomplete initial information. In such cases, decision makers are generally more interested in sets of the most promising solutions rather than the best single solution. Therefore, in contrast to conventional optimisation approaches that aim to find exact optimal points, we aim to find optimal r...

Design is a multi-criteria decision-making process under multiple constraints. In the conceptual design stage, design is intrinsically imprecise because of designers’ vague thinking and incomplete initial information. When exploring possible design candidates, designers are generally more interested in sets of the most promising solutions rather th...

A shape specification system based on fuzzy logic is proposed, which aims to facilitate designers in conceptual design stage by allowing them to specify and work with rough models in a more intuitive fashion. The system uses a 3D object representation called 'parametric geons' which provide both qualitative and quantitative descriptions, in additio...

Exact mathematical representations of objects are not suitable for applications where object descriptions are vague or object data is imprecise or inadequate. This paper presents representation schemes for basic inexact geometric entities and their relationships based on fuzzy logic. The aim is to provide a foundation framework for the development...

A classifier evaluation function based on Bayesian likelihoods of necessity and sufficiency is defined. This function can be used to measure the performance of an arbitrary classifier on a set of examples consisting of labeled positives together with a corpus of unlabeled data. A neural network system has been implemented in which the evaluation fu...

CAD systems have traditionally catered for architectural and mechanical engineering designs which are somewhat constrained in scope. Problems concerning other types of design such as art design, industrial design or sculpting, where creativity and aesthetic factors play an important role, are not adequately addressed. These types of design require...

Many medical services are often not available to people living in remote areas because of the lack of medical specialists. This problem would be alleviated if a suitable environment was designed to allow physicians to collaborate and exchange ideas with centrally located medical specialists. This article describes an ongoing research project to des...

Cooperative telemedicine environments are required for many situations such as consultations between residents and senior doctors, case correlations, and for teaching and research purposes. The mode of collaboration may vary with different situations, in terms of the synchronisation of tasks, the sharing of data and the extent of collaboration amon...

Supervised machine learning techniques generally require that the training set on which learning is based contains sufficient examples representative of the target concept, as well as known counter-examples of the concept. However in many application domains it is not possible to supply a set of labeled counter-examples. This paper presents a techn...

Physiological research has revealed constructs named “feature detectors‿ in the human visual system. These detectors react to differences in visual features, marking them as salient and thereby attracting the attention of the viewer. In this paper we outline a fuzzy logic system which processes 3D scene descriptions to compute the relative visual i...

Many important collaborative applications require the sharing of dynamic visual data that are generated from interactive 3D graphics or imaging programs within a multimedia environment. These applications demand extensive computational and communication costs that cannot be supported by current bandwidth. Thus, suitable techniques have to be devise...

A shape specification system based on fuzzy logic is proposed, which aims to facilitate designers in the conceptual design stage by allowing them to specify and work with rough models in a more intuitive fashion. The system uses a 3D object representation called `parametric geons' which provide both qualitative and quantitative descriptions, in add...

The development of data warehouses for the storage and analysis of very large corpora of medical image data represents a significant trend in health care and research. Amongst other benefits, the trend toward warehousing enables the use of techniques for automatically discovering knowledge from large and distributed databases. In this paper, we pre...

Case-based reasoning (CBR) which involves the representation of prior experience as cases, provides a natural approach for developing a medical diagnosis support system because medical practitioners usually solve new problems by comparing them to previously seen cases. We propose a general framework for such a system with the aim to assess the norm...

Feature detectors in the early preattentive stage of the Human Visual System (HVS) are believed to cause regions of the viewing field to be identified as perceptually salient, attracting the attention of the viewer. It is anticipated that this characteristic of the HVS can be incorporated into a feature based fuzzy scene decomposition model, which...

This paper proposed a systematic approach for exploring the interactions of aesthetic properties and design variables, by integrating knowledge from other fields such as philosophy, psychology and arts. Commonly-accepted aesthetic properties and language terms used for evaluation and criticism are first discussed and a common set of nine principles...

Although attempts have already been made, computer support of industrial design is still in its infancy, especially of design for aesthetics. The reason is that no methodology is available to incorporate in computer support, design aspects like appearance, pleasantness and human usage of a product. The objective of the paper is to present a methodo...

The method of smoothing surfaces by correcting reflection lines which is commonly used in the car design industry, relies heavily on the experience of designers and often involves very tedious work. This paper discusses how genetic algorithms can be used to alleviate this problem by providing alternative solutions under suitable constraints set by...