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Spatio-temporal Context Modeling for BoW-Based Video Classification
2013
2013 IEEE International Conference on Computer Vision Workshops
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We propose an autocorrelation Cox process that extends the traditional bag-of-words representation to model the spatio-temporal context within a video sequence. ...
A major limitation of this model is its inability to encode the spatio-temporal structure of visual words pertaining to the context of the video. ...
Figure 7 illustrates examples of the point process and the For Visual Word 1, the point process of normal and abnormal video shows similar patterns. ...
doi:10.1109/iccvw.2013.107
dblp:conf/iccvw/YiP13
fatcat:rpd4lume3faaplup2lsgzog5d4
Visual Exploration of Eye Movement Data Using the Space-Time-Cube
[chapter]
2010
Lecture Notes in Computer Science
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Finally, the advantages and limitations of using the STC to visually analyze eye movement recordings are summarized and discussed. ...
This paper proposes an approach that enables the use of the Space-Time-Cube (STC) for representation of eye movement recordings. ...
We would like to thank our three anonymous reviewers and Sara Fabrikant for their very helpful comments. Their constructive feedback greatly improved our paper. ...
doi:10.1007/978-3-642-15300-6_21
fatcat:gtwt433xnfd6thvsp3fy7tpsva
Analysing and visualizing spatio-temporal landslide patterns
2019
Abstracts of the International Cartographic Association
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Remote sensing data is well suited for detecting landslides and for deriving spatio-temporal landslide patterns. ...
</p><p>For analysing and visualizing spatio-temporal landslide patterns we use historical and recent aerial photography from five different dates, ranging from 1944 to 2011, for a study site near the town ...
Acknowledgements This research has been supported by the Austrian Science Fund through the project MORPH (Mapping, Monitoring and Modelling the Spatio-Temporal Dynamics of Land Surface Morphology; FWF-P29461 ...
doi:10.5194/ica-abs-1-116-2019
fatcat:ksss6kmyibghpmocsadip4xrmu
Similarity-Based Fusion of MEG and fMRI Reveals Spatio-Temporal Dynamics in Human Cortex During Visual Object Recognition
2016
Cerebral Cortex
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Every human cognitive function, such as visual object recognition, is realized in a complex spatio-temporal activity pattern in the brain. ...
Further region-of-interest analyses established that dorsal and ventral regions showed MEG-fMRI correspondence in representations later than early visual cortex. ...
Conflict of Interest: None declared. ...
doi:10.1093/cercor/bhw135
pmid:27235099
pmcid:PMC4961022
fatcat:iyl6vppen5bgda4vanuxrkp4xe
Spatio-Temporal Analytics for Exploring Human Mobility Patterns and Urban Dynamics in the Mobile Age
2014
Spatial Cognition and Computation
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In this research, we present a spatio-temporal analytical framework including spatiotemporal visualization (STV), space-time kernel density estimation (STKDE), and spatio-temporal-autocorrelation-analysis ...
(STAA), to explore human mobility patterns and intra-urban communication dynamics. ...
Kyriakidis and Yingjie Hu at UCSB Geography for insightful discussions and suggestions on this work. Thanks to guest editors Dr. Christophe Claramunt and Dr. ...
doi:10.1080/13875868.2014.984300
fatcat:g3nxghutend3lgik5hrwyqti6u
Bio-Inspired Optic Flow from Event-Based Neuromorphic Sensor Input
[chapter]
2014
Lecture Notes in Computer Science
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Computational models of visual processing often use framebased image acquisition techniques to process a temporally changing stimulus. ...
Our model combines filters with spatio-temporal tunings also found in visual cortex to yield spatiotemporal and direction specificity. ...
In the dorsal pathway of visual processing in cortex, neurons are tuned to patterns of motion in the visual field while they are tuned to static form patterns along the ventral pathway [Ungerleider and ...
doi:10.1007/978-3-319-11656-3_16
fatcat:adym3otnfrhd5ovkm562gmy77m
Similarity-based fusion of MEG and fMRI reveals spatio-temporal dynamics in human cortex during visual object recognition
[article]
2015
bioRxiv
pre-print
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Every human cognitive function, such as visual object recognition, is realized in a complex spatio-temporal activity pattern in the brain. ...
These results provide a novel and comprehensive, spatio-temporally resolved view of the rapid neural dynamics during the first few hundred milliseconds of object vision. ...
Visual object recognition recruits a temporally ordered cascade of neuronal processes (Robinson and Rugg 1988; Schmolesky et al. 1998; Bullier 2001; Cichy et al. 2014) in the ventral and dorsal visual ...
doi:10.1101/032656
fatcat:s7cktbw4znc2zhco2zfmch3lwm
Visualization of time-series sensor data to inform the design of just-in-time adaptive stress interventions
2015
Proceedings of the 2015 ACM International Joint Conference on Pervasive and Ubiquitous Computing - UbiComp '15
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EFFICACY OF STRESS VISUALIZATION
Visualization
Technique
Pros
Cons
Spatio-
temporal
Highlights personalized
stress pattern, removes
noise by aggregation
Timing and frequency can't
be captured ...
in personalization • Spatio-temporal and Contextual Representation Aids Personalized Intervention design • Temporal and Contextual Profiles Aid in Selecting Timing, Content, and Modality of Intervention ...
doi:10.1145/2750858.2807537
dblp:conf/huc/SharminRENBVPK15
fatcat:6tac5dlqevczjivnirx36jahsq
Mining Spatio-Temporal Datasets: Relevance, Challenges and Current Research Directions
[chapter]
2009
Data Mining and Knowledge Discovery in Real Life Applications
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., and Gatalsky P., Exploratory Spatio-Temporal Visualization: an ...
The essential idea is that visual representations can help the user to get a better understanding of content of the datasets, since the human visual system is more inclined to process visual rather than ...
In particular, given the visual aspect of spatial data, we discuss how visualisation techniques have been applied to support the spatio-temporal data analysis and mining process. ...
doi:10.5772/6450
fatcat:2ecajvw3yzbbrennzcplgufcqi
Social pixels
2010
Proceedings of the international conference on Multimedia - MM '10
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We develop abstractions and tools to decipher various spatio-temporal phenomena which manifest themselves across such social media data. ...
We define a declarative set of operators upon such data to allow for users to formulate queries to visualize, characterize, and analyze such data. ...
Our image-based representation provides a common framework for spatio-temporal data aggregation, media processing, data visualization, and an intuitive correspondence between query model and user's mental ...
doi:10.1145/1873951.1874030
dblp:conf/mm/SinghGJ10
fatcat:dvz5r4fxjjghrnbsfiqx2i5hcm
Space, time and visual analytics
2010
International Journal of Geographical Information Science
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Visual analytics aims to combine the strengths of human and electronic data processing. ...
Seamless and sophisticated synergies are required for analyzing spatio-temporal data and solving spatio-temporal problems. ...
We are very grateful to Piotr Jankowski, André Skupin, and Jim Thomas for their valuable comments on the draft of the paper.
Short biographical notes on all contributors ...
doi:10.1080/13658816.2010.508043
fatcat:nh3bxfmjivgkzeu7cgefxxyvuu
A Robotic Context Query-Processing Framework Based on Spatio-Temporal Context Ontology
2018
Sensors
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Therefore, we propose a context query-processing framework, comprising spatio-temporal robotic context query language (ST-RCQL) and a spatio-temporal robotic context query-processing system (ST-RCQP), ...
Through various qualitative and quantitative experiments, we demonstrate the high efficiency and performance of the proposed context query-processing framework. ...
Figure 14 . 14 Illustration of translation for spatio-temporal query pattern one.
Figure 14 . 14 Illustration of translation for spatio-temporal query pattern one. ...
doi:10.3390/s18103336
fatcat:xkzf2bna4fg7dpingykbsuktge
Mining spatio-temporal data
2006
Journal of Intelligent Information Systems
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Spatio-temporal data mining is an emerging research area dedicated to the development and application of novel computational techniques for the analysis of large spatio-temporal databases. ...
Moreover, despite much formalization of space and time relations available in spatio-temporal reasoning, the extraction of spatial/ temporal relations implicitly defined in the data introduces some degree ...
Additional research issues related to spatio-temporal data mining concern visualization of spatio-temporal patterns and phenomena, scalability of the methods, data structures used to represent and efficiently ...
doi:10.1007/s10844-006-9949-3
fatcat:7zsbjq37djbmnehni2carp3hz4
Integrated Visualization and Analysis of a Multi-scale Biomedical Knowledge Space
[article]
2014
Eurographics Conference on Visualization
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The study and analysis of relationships in a complex and multi-scale data set is a challenge of information and scientific visualization. ...
We demonstrate the prototype of the graphical interface of an integrated visualization framework and the knowledge formalization support in an example scenario related to the musculoskeletal diseases. ...
The two first authors Asan Agibetov and Ricardo Millán have contributed equally to the writing of the paper. ...
doi:10.2312/eurova.20141141
dblp:conf/vissym/AgibetovVFPSW14
fatcat:ddyzngpugfg2zjflezbqu6rmyi
Geovisualization of Dynamics, Movement and Change: Key Issues and Developing Approaches in Visualization Research
2008
Information Visualization
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Common approaches in current visualization research The need for cross-disciplinary efforts to support the visual exploration and analysis of spatio-temporal data is a function of the growing sizes and ...
This issue of Information Visualization showcases research activity involving and contributing to the visual analysis of dynamism, movement and change in phenomena that have a spatial element. ...
with a range of experience and expertise in using graphics and spatio-temporal information and in studying spatio-temporal phenomena in a variety of application domains. ...
doi:10.1057/ivs.2008.23
fatcat:lnpk4xh56rdlzeobfbk5p3sm6u
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