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Spatio-temporal Context Modeling for BoW-Based Video Classification

Saehoon Yi, Vladimir Pavlovic
2013 2013 IEEE International Conference on Computer Vision Workshops  
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]

Xia Li, Arzu Çöltekin, Menno-Jan Kraak
2010 Lecture Notes in Computer Science  
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

Daniel Hölbling, Raphael Spiekermann, Andrea Binn, Harley Betts
2019 Abstracts of the International Cartographic Association  
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

Radoslaw Martin Cichy, Dimitrios Pantazis, Aude Oliva
2016 Cerebral Cortex  
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

Song Gao
2014 Spatial Cognition and Computation  
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]

Stephan Tschechne, Roman Sailer, Heiko Neumann
2014 Lecture Notes in Computer Science  
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]

Radoslaw Cichy, Dimitrios Pantazis, Aude Oliva
2015 bioRxiv   pre-print
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

Moushumi Sharmin, Andrew Raij, David Epstien, Inbal Nahum-Shani, J. Gayle Beck, Sudip Vhaduri, Kenzie Preston, Santosh Kumar
2015 Proceedings of the 2015 ACM International Joint Conference on Pervasive and Ubiquitous Computing - UbiComp '15  
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]

M-Tahar Kechadi, Michela Bertolotto, Filomena Ferrucci, Sergio Di
2009 Data Mining and Knowledge Discovery in Real Life Applications  
., 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

Vivek K. Singh, Mingyan Gao, Ramesh Jain
2010 Proceedings of the international conference on Multimedia - MM '10  
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

Gennady Andrienko, Natalia Andrienko, Urska Demsar, Doris Dransch, Jason Dykes, Sara Irina Fabrikant, Mikael Jern, Menno-Jan Kraak, Heidrun Schumann, Christian Tominski
2010 International Journal of Geographical Information Science  
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

Seokjun Lee, Incheol Kim
2018 Sensors  
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

Gennady Andrienko, Donato Malerba, Michael May, Maguelonne Teisseire
2006 Journal of Intelligent Information Systems  
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]

Asan Agibetov, Ricardo Manuel Millan Vaquero, Karl-Ingo Friese, Giuseppe Patane, Michela Spagnuolo, Franz-Erich Wolter
2014 Eurographics Conference on Visualization  
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

Gennady Andrienko, Natalia Andrienko, Jason Dykes, Sara Irina Fabrikant, Monica Wachowicz
2008 Information Visualization  
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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