Submitted for the degree of Doctor of Philosophy, Queen Mary, University of London

Graves, Andrew Phillip

English

Queen Mary Research Online

A bayesian computer vision system for modelling human interactions.

A fully automated content-based video search engine supporting spatiotemporal queries.

A magnifier tool for video dat.

A probabilistic sensor for the perception and recognition of activities.

A review of real-time segmentation of uncompressed video sequences for content-based search and retrieval.

A tutorial on hidden markov models and selected applications in speech recognition.

A unified framework for video browsing and retrieval.

Activity based video shot retrieval and ranking.

Activity summarisation and fall detection in a supportive home environment.

Adaptive Control Processes: A Guided Tour.

Adaptive key frame extraction using unsupervised clustering.

An indexing and browsing system for home video.

An introduction to wavelets.

An object oriented image retrieval system.

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An overview of video abstraction techniques.

Assessing the human vigilance capacity of control room operators.

Automated highlevel movie segmentation for advanced video-retrieval systems.

Automatic image content retrieval - are we getting anywhere?

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Automatic Text Processing – The Transformation, Analysis, and Retrieval of Information by Computer.

Automatic text recognition for video indexing.

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Bayesian modality fusion: Probabilistic integration of multiple vision algorithms for head tracking.

Beyond tracking: Modelling activity and understanding behaviour.

Blobworld: A system for region-based image indexing and retrieval.

Blobworld: Image segmentation using expectation-maximization and its application to image querying.

CCTV in London.

CHROMA: A content-based image retrieval system.

Color indexing.

Combining belief networks and neural networks for scene segmentation.

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Comparison of video shot boundary detection techniques.

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CONDENSATION – conditional density propagation for visual tracking.

Content-based access to digital video: The físchlár system and the TREC video track.

Content-based browsing and editing of unstructured video.

Content-based browsing of video sequences.

Content-based image retrieval at the end of the early years.

Content-oriented visual interface using video icons for visual database systems.

Continuous global evidence-based bayesian modality fusion for simultaneous tracking of multiple objects.

Coupled hidden markov models for complex action recognition.

Crime prevention effects of closed circuit television: a systematic review.

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Detecting inexplicable behaviour.

Detecting unusual activity in video.

Development of an automatic summary editing system for the audio-visual resources.

Does zooming improve image browsing?

Dynamic Vision: From Images to Face Recognition.

Exploring video structures beyond the shots.

Extracting story units from long programs for video browsing and navigation.

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High-level Vision: Object Recognition and Visual Cognition.

Image browsing: Semantic analysis of NNk networks.

Image classification for content-based indexing.

Image Databases: Search and Retrieval of Digital Imagery.

Image processing on compressed data for large video databases.

Image retrieval interfaces: a user perspective.

Image retrieval using color and shape.

ImageScape Visual Queries.

Incident recognition for surveillance and security.

Inference Networks for Document Retrieval.

Information Retrieval.

Intelligent Multimedia Information Retrieval.

Key frame selection by motion analysis.

Key-frame extraction and shot retrieval using Nearest Feature Line.

Kurtosis. From MathWorld–A Wolfram Web Resource,

Learning patterns of activity using real-time tracking.

Learning Temporal Models for Interpreting Dynamic Scenes.

Maximum likelihood from incomplete data via the EM algorithm.

Medium knowledgebased macro-segmentation of video into sequences.

Modern Information Retrieval.

Motion-based video representation for scene change detection.

Neural Networks for Pattern Recognition.

Next generation web searches for visual content.

NNk networks for content-based image retrieval.

Normalized cuts and image segmentation.

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Occlusion analysis: Learning and utilising depth maps in object tracking.

Path detection in video surveillance.

Pedestrian detection using wavelet templates.

Pictorial information retrieval.

Principles of Visual Information Retrieval.

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Query by image and video content: The QBIC system.

Recognition of group activities using dynamic probabilistic networks.

Recognition of human gestures and behaviour.

Relevance ranking of video data using hidden markov model distances and polygon simplification.

Iconic Indexing for Video Search

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