Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 20 of 20 for “"Image annotation"”.
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Semantics and statistics for automated image annotation
Automated image annotation consists of a number of techniques that aim to find the correlation between words and image features such as colour, shape, and texture to provide correct annotation words to images. In particular, approaches based on Bayesian theory use machine-learning techniques to …
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Automation of Drosophila gene expression pattern image annotation : development of web-based image annotation tool and application of machine learning methods
… regulation. Drosophila gene expression pattern images have been generated by the Berkeley Drosophila Genome Project (BDGP) for over 7,000 genes in over 90,000 digital images. These images are currently hand curated by field experts with developmental and anatomical terms based on the stained …
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A Semantics-driven Methodology for High-quality Image Annotation
… exist between the visual information encoded in images and the intended semantics of the labels annotating them. The net consequence is that the current annotation process is largely under-specified, thus leaving too much freedom to the subjective judgment of annotators. In this study, we propose …
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Search-based Automatic Image Annotation Using Geotagged Community Photos
… for sharing and collaboratively annotating images with keywords, called tags, became very popular. Tags are a powerful means for organizing and retrieving photos. However, manual tagging is time consuming. Recently, the sheer amount of user-tagged photos available on the Web encouraged …
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Improving an image annotation and retrieval agent using commonsense and personal knowledge
… consumers can accumulate large quantities of images that may rarely be looked at over the course of a lifetime. Since computer vision has not yet become sophisticated enough to automatically recognize the content of images, the use of a software agent for integrated annotation and retrieval of …
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Image annotation with discriminative model and annotation refinement by visual similarity matching
… and model-free approaches can provide quality annotation to images. In this thesis, I present a hybrid annotation pipeline that combines both approaches in hopes of increasing the accuracy of the resulting annotations. Given an unlabeled image, the first step is to suggest some words via a …
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Large-Scale Marine Image Annotation in the Age of the Web and Deep Learning
… marine imaging data is analyzed by manual image annotation where domain experts mark objects of interest in the images and assign class labels to the marked objects. With technological advances of underwater carrier systems, digital cameras and digital storage technology, the acquisition …
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Semantic concept detection from visual content with statistical learning
… news video genre identification and automatic image annotation. For the former, two novel features were proposed to classify sports news video shots; due to the variation of content and shot length, this problem is high challenging. For the latter, we proposed a novel automatic image annotation …
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Interactive Pattern Recognition Strategies for Multimedia Document Analysis and Search
… contributions to each of these components for image search, image annotation and multimodal document analysis applications scenarios. Several new techniques for search, interaction and representation are presented with empirical evaluation. Finally, an overview of contributions and thoughts for …
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AI-driven Automated Medical Imaging Analysis
… physiological levels. Manual analyzing medical images demands attention and is time-consuming, requiring well-trained expertise. The speed, fatigue, and experience may limit the diagnostic performance, leading to delays and even false diagnoses that significantly impact patient treatment. …
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Automatic Annotation Of Database Images For Query-by-concept
As digital images become ubiquitous in many applications, the need for efficient and effective retrieval techniques is more demanding than ever. Query by Example (QBE) and Query by Concept (QBC) are among the most popular query models. The former model accepts example images as queries and searches …
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Expanding Annotation to Mixed-Media Types in a Large-Scale Social Annotation Platform
In recent years, social annotation systems have become a popular and effective tool for hosting collaborative discussions on assigned readings. One such tool created by our lab is NB. Over the last twelve years, hundreds of instructors have incorporated NB within their classes, with over 50,000 …
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A shape-based approach for image retrieval in healthcare information infrastructure
… and techniques that would help build shape-based image retrieval with an improved accuracy. As an initial step, a modular prototype system, called BrainSearch was implemented and used to demonstrate the utility of our algorithms and techniques on brain Magnetic Resonance Imaging (MR1) …
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Robotics Application in Precision Spraying
… By training the model on a limited set of images, this method demonstrates promising results in accurately estimating grape cluster counts across different zones in the vineyards, with an average Mean Absolute Error (MAE)/Root Mean Square Error (RMSE) of 0.86/0.66. The ACLE method aims to …
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Automating Video Analysis for Marine and Behavioural Research: Deep Learning Solutions to Analytical Bottlenecks
… The package provides an integrated workflow from image annotation through model training to behavioural classification, removing technical barriers that limit adoption of deep learning methods. Functionality is demonstrated through three case studies tracking zebrafish (Danio rerio), rainbow trout …
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Advanced topics in multi-label learning
… range from document classification and automatic image annotation to video annotation. Many multi-label learning models have been developed to capture label dependency. Amongst them, the classifier chain (CC) model is one of the most popular methods due to its simplicity and promising experimental …
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Natural scene classification, annotation and retrieval. Developing different approaches for semantic scene modelling based on Bag of Visual Words.
… in our daily lives. A huge amount of digital images are being collected and become available through the internet and stored in various fields such as personal image collections, medical imaging, digital arts etc. Therefore, it is important to make sure that images are stored, searched and …
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Sensor-based artificial intelligence to support people with cognitive and physical disorders
… dataset was collected from volunteers during an image annotation task, and used for the experimental evaluation using different machine learning techniques. Then, in the second part of the thesis, we focused on addressing limitations related to motor disability. We introduced the use of graph …
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Local selection of features and its applications to image search and annotation
… for many applications, such as content-based image retrieval and automated image annotation. However, due to the existence of noisy or irrelevant features, errors introduced into similarity measurements are detrimental to the neighborhood quality of data objects. One way to alleviate the …
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Role of workplace based assessment of radiographers in informing curriculum development practices: a plain X- ray film technical sufficiency exemplar using 2010 post- registration radiographers.
… positioning, exposure, contrast, sharpness, image annotation and radiation protection. A total of 31 participants participated in the self-assessment and WBA conducted in four teaching hospitals. The last phase was a desk review which utilised the output from the first three phases to …