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Interactive video retrieval
(2006)
The goal of this thesis is to develop a video retrieval system that supports relevance feedback. One research approach of the thesis is to find out if a combination of implicit and explicit relevance feedback returns better retrieval results than a system using explicit feedback only. Another approach is to identify a model to weight existing feature categories. For this purpose, a state-of-the-art analysis is presented and two systems implemented, which run under the conditions of the international TRECVID workshop. It will be a basis system for further research approaches in the field of interactive video retrieval. Amongst others, it shall participate in the 2006 search task of the mentioned workshop.
In Silico simulation of biological systems is an important sub area of computational biology (system biology), and becomes more and more an inherent part for research. Therefore, different kinds of software tools are required. At present, a multitude of tools for several areas exists, but the problem is that most of the tools are essentially application specific and cannot be combined. For instance, a software tool for the simulation of biochemical processes is not able to interact with tools for the morphology simulation and vice versa. In order to obtain realistic results with computer-aided simulations it is important to regard the biological system in its entirety. The objective is to develop a software framework, which provides an interface structure to combine existing simulation tools, and to offer an interaction between all affiliated systems. Consequently, it is possible to re-use existing models and simulation programs. Additionally, dependencies between those can be defined. The system is designed to interoperate as an extendable architecture for various tools. The thesis shows the usability and applicability of the software and discusses potential improvements.
Research has shown that people recognize personality, gender, inner states and many other items of information by simply observing human motion. Therefore the expressive human motion seems to be a valuable non-verbal communication channel. On the quest for more believable characters in virtual three dimensional simulations a great amount of visual realism has been achieved during the last decades. However, while interacting with synthetic characters in real-time simulations, often human users still sense an unnatural stiffness. This disturbance in believability is generally caused by a lack of human behavior simulation. Expressive motions, which convey personality and emotional states can be of great help to create more plausible and life-like characters. This thesis explores the feasibility of an automatic generation of emotionally expressive animations from given neutral character motions. Such research is required since common animation methods, such as manual modeling or motion capturing techniques, are too costly to create all possible variations of motions needed for interactive character behavior. To investigate how emotions influence human motion relevant literature from various research fields has been viewed and certain motion rules and features have been extracted. These movement domains were validated in a motion analysis and implemented in a system in an exemplary manner capable of automating the expression of angry, sad and happy states in a virtual character through its body language. Finally, the results were evaluated in user test.
The automatic detection of position and orientation of subsea cables and pipelines in camera images enables underwater vehicles to make autonomous inspections. Plants like algae growing on top and nearby cables and pipelines however complicate their visual detection: the determination of the position via border detection followed by line extraction often fails. Probabilistic approaches are here superior to deterministic approaches. Through modeling probabilities it is possible to make assumptions on the state of the system even if the number of extracted features is small. This work introduces a new tracking system for cable/pipeline following in image sequences which is based on particle filters. Extensive experiments on realistic underwater videos show robustness and performance of this approach and demonstrate advantages over previous works.
Computers and especially computer networks have become an important part of our everyday life. Almost every device we use is equipped with a computer or microcontroller. Recent technology has even boosted this development by miniaturization of the size of microcontrollers. These are used to either process or collect data. Miniature senors may sense and collect huge amounts of information coming from nature, either from environment or from our own bodies. To process and distribute the data of these sensors, wireless sensor networks (WSN) have been developed in the last couple of years. Several microcontrollers are connected over a wireless connection and are able to collect, transmit and process data for various applications. Today, there are several WSN applications available, such as environment monitoring, rescue operations, habitat monitoring and smart home applications. The research group of Prof. Elaine Lawrence at the University of Technology, Sydney (UTS) is focusing on mobile health care with WSN. Small sensors are used to collect vital data. This data is sent over the network to be processed at a central device such as computer, laptop or handheld device. The research group has developed several prototypes of mobile health care. This thesis will deal with enhancing and improving the latest prototype based on CodeBlue, a hardware and software framework for medical care.
This thesis evaluates automated techniques to remove objects from an image and proposed several modifications for the specific application of removing a colour checker from structure dominated images. The selection of approaches covers the main research field of image inpainting as well as an approach used in medical image processing. Their results are investigated to disclose their applicability to removing objects from structure-intense images. The advantages and disadvantages discovered in the process are then used to propose several modifications for an adapted inpainting approach suitable for removing the colour checker.
The thesis at hand evaluates Open Source Business Process Management (BPM) Systems in the context of the R4eGov1 Project. The provision of concepts and tools to support and enable interoperability in pan-European networks of pubic administrations is one of the major objectives that R4eGov is aiming at. Thereby a strong focus lies on the interoperability of cross-organizational processes from the viewpoint of modeling, execution and monitoring. BPM can increase the effectiveness and efficiency of cross-organizational processes by restructuring them towards the needs of the entities involved. BPM is dependent on BPM systems that combine technologies of process modeling, business process analysis and execution along with their integration into adequate runtime environments and rule engines. The evaluation that is performed within the thesis investigates how far BPM systems can support several requirements of interoperability that have been developed by the R4eGov project. It also targets at analyzing those BPM system according to generic requirements on BPM and software tools. The investigation is build upon common BPM theories and standards for modeling business processes. It describes the origin and interdependencies of BPM and Workflow Management (WfM), highlighting similarities and differences from the technological and historical perspective. Moreover, it introduces web service standards and technologies that are used to build service-oriented architectures allowing greater flexibility in BPM. In addition the thesis introduces methods and best practices to evaluate software tools. It contains an evaluation framework for BPM tools that has been based on the software product evaluation standard ISO/IEC 14598. The evaluation framework comprises the definition of an R4eGov scenario and a catalogue of criteria for evaluating a set of selected Open Source BPM systems. The definition of the catalogue of criteria is build upon generic requirements on BPM systems and those that are specifically to R4eGov. The chosen methods and the core elements of the evaluation framework will be applied to the selected BPM systems Intalio BPMS,NetBeans IDE, and JBoss jBPM. Finally the results of the applied R4eGov scenario and of the applied catalogue of criteria are being discussed by highlighting individual strengths and weaknesses of the systems.