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.
Results
Showing 1 to 20 of 26 for “"Spatial and temporal information"”.
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Content based video retrieval via spatial-temporal information discovery.
… framework for visual resources representation and access. The framework, however, ignores spatial and temporal information contained in videos, which plays a fundamental role in unveiling semantic meanings. The information includes not only the spatial layout of visual content on a still frame …
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Using audio cues to support motion gesture interaction on mobile devices
… made it difficult for participants to diagnose and correct errors, resulting in poor recognition performance and user frustration. In this paper, we describe and evaluate a training and feedback technique, Glissando, which uses audio characteristics to provide feedback on the systems …
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Commanding small satellites for simulated spacecraft inspections using augmented reality
… is ensuring the human operator has sufficient spatial and temporal knowledge of the free-flying spacecraft and environment to safely complete the task. This research evaluates Augmented Reality (AR) as a means of providing spatial and temporal information to an operator controlling a …
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Detection and representation of moving objects for video surveillance
… detection of moving objects (such as people and vehicles) in video surveillance sequences. The first technique analyses the original video and exploits spatial and temporal information to find those pixels in the images that correspond to moving objects. The second technique analyses video …
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The Hydrology of a Sandur-Wetland in a Volcanic Environment, Southeast Iceland
Iceland is a geothermally active island with sharp contrasts in climate and geography. A 2.5 km stretch of a proglacial river neighboring an inhabited wetland was monitored between September 2015 to September 2016. Water wells along transects coupled with pressure transducers monitored the water …
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Combining representations for improved sketch recognition
… is a common means of conveying, representing, and preserving information, and it has become a subject of research as a method for human-computer interaction, specifically in the area of computer-aided design. Digitally collected sketches contain both spatial and temporal information; …
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Learning, Recognizing and Early Classification of Spatio-Temporal Patterns using Spike Timing Neural Networks
Learning and recognizing spatio-temporal patterns is an important problem for all biological systems. Gestures, movements, activities, all encompass both spatial and temporal information that is critical for implicit communication and learning. This dissertation presents a novel, unsupervised …
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Development of an Emotion Recognition Classifier from Body Language Using Deep Learning for the Children with Autism to Help Identifying Human Emotions
… “anger,” “sad,” “happy,” “surprise,” “fear,” and “disgust.” Video data and image data have been used to train three different models. Three different datasets have been used- GEMEP, BEAST, and “7453 IRB” datasets. The BEAST dataset is an image dataset, and the GEMEP and “7453 IRB” are video …
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Electrophysiological Signatures of Spatial and Temporal Coding in Humans
Space and time are two cornerstones of memory and navigation. However, how spatial and temporal information contribute to spatial and mnemonic representations is still poorly understood in humans. One of the neural signatures in humans related to memory and navigation are neural oscillations in …
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Development of an automated system for extraction and quantification of soybean cyst nematode (SCN) eggs and cysts
… the world’s foremost source of vegetable protein and oil. In order to meet the growing global soybean demand for feed and biodiesel, soybean production in the US will need to increase by 28 percent over the next decade. Addressing this demand necessitates increasing efficiency of soybean …
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Surface deformation analysis over a hydrocarbon reservoir using InSAR with ALOS-PALSAR data
InSAR has been developed to estimate the temporal change on the surface of Earth by combining multiple SAR images acquired over the same area at different times. In the last two decades, in addition to conventional InSAR, numerous multiple acquisition InSAR techniques have been introduced, …
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Serial Architectures: Nonfiction Film and the Built Environment, 1896-1920
… nonfiction film was used to observe, analyze, and understand the built environment in the United States between 1896 and 1920. By focusing on the seriality of film and contemporary visual media, it shows how the introduction of the new medium altered the configuration of knowledge and practice …
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Ensemble-characterisation of satellite rainfall uncertainty and its impacts on the hydrological modelling of a sparsely gauged basin in Western Africa
… the infrastructure required to make accurate and timely estimations of rainfall. This problem is especially acute in sub-Saharan Africa, where a paucity of rain recording radar and sufficiently dense raingauge networks combine with highly variable rainfall, a reliance on agriculture that is …
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Learning from videos with deep convolutional LSTM networks
… for learning from video sequences involve temporally processing 2D CNN features from the individual frames or directly utilizing 3D convolutions within high-performing 2D CNN architectures. The focus typically remains on how to incorporate the temporal processing within an already stable …
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Dolltalk : a computational toy to enhance narrative perspective-talking
… by encouraging students to learn how to decode information within a sentence. In this thesis it is suggested that literacy skills in children five to seven years of age can be obtained with a broader understanding of language and its representation. Oral storytelling is presented as a way to …
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Mining Complex High-Order Datasets
Selection of an appropriate structure for storage and analysis of complex datasets is a vital but often overlooked decision in the design of data mining and machine learning experiments. Most present techniques impose a matrix structure on the dataset, with rows representing observations and …
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Evaluating Temporal Queries over Videos
… been an important part of people's daily lives and are continuously growing in terms of volume, size, and variety of content. Recent advances in Computer Vision (CV) algorithms have improved accuracy and efficiency, making video annotations possible with high accuracy. In this work, we follow a …
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EEG-based Brain Computer Interface with Deep Learning
… Computer Interfaces (BCI) are very important and have been widely used in multiple application domains, ranging from human-computer interaction to medical and biomedical applications. To overcome the challenge of EEG representation learning, we propose a Long Short-Term Memory (LSTM) network …
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Statistical Modeling and Analysis of Bivariate Spatial-Temporal Data with the Application to Stream Temperature Study
… temperature is a critical factor for the quality and biological condition of streams. Among various factors affecting stream water temperature, air temperature is one of the most important factors related to water temperature. To appropriately quantify the relationship between water and air …
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BlueBird: national-scale real-time crop cover classification using multi-stage deep learning approach
… existing works that merely use satellite information fail to reach a high accuracy, especially in the early growing season (before July) because of lacking informative satellite scenes that can be used to effectively distinguish crops. In this work, we present a deep-learning- based …
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