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Spatiotemporal imaging of complexity
2013
Frontiers in Computational Neuroscience
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In addition, we demonstrate that such state changes can be described by applying a new measure of complexity, rank vector entropy (RVE), to source waveform estimates from beamformer-processed MEG. ...
In this paper, we explore the existence of state changes in electrophysiological cortical activity that can occur independently of changes in averaged amplitude, source power or indices of metabolic rates ...
This work is supported by the Intramural Research Program of the National Institute of Mental Health, with additional support for Arnold J. Mandell from the Franklin-Fetzer Fund. ...
doi:10.3389/fncom.2012.00101
pmid:23355820
pmcid:PMC3553423
fatcat:qxsmacdetvdmllocvnzxrrhumi
Image Entropy for the Identification of Chimera States of Spatiotemporal Divergence in Complex Coupled Maps of Matrices
2019
Entropy
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Complex networks of coupled maps of matrices (NCMM) are investigated in this paper. It is shown that a NCMM can evolve into two different steady states—the quiet state or the state of divergence. ...
It appears that chimera states of spatiotemporal divergence do exist in the regions around the boundary lines separating these two steady states. ...
The existence (and appropriate visualization) of chimera states of spatiotemporal divergence is already an interesting result in nonlinear dynamics of complex CMLs of matrices. ...
doi:10.3390/e21050523
pmid:33267237
fatcat:f3pwvjx7nrbvxo7efzgcqnaucm
Live Cell Imaging of GFP-Rab Gtpases allows for Intracellular, Spatiotemporal Tracking of Surface Functionalized Lipid-DNA Complexes
2013
Biophysical Journal
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Pos Board B500 Live Cell Imaging of GFP-Rab Gtpases allows for Intracellular, Spatiotemporal Tracking of Surface Functionalized Lipid-DNA Complexes Ramsey N. ...
GFP labeling of Rabs allows for detection of the spatiotemporal state of endocytosed CL-DNA complexes by directly labeling endosomes. ...
doi:10.1016/j.bpj.2012.11.3596
fatcat:fbx5zbrbkjfwtltnvwguficqiq
Reducing Computational Complexity of Real-Time Stereoscopic Ray Tracing with Spatiotemporal Sample Reprojection
2019
Proceedings of the 14th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications
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Reducing Computational Complexity of Real-Time Stereoscopic Ray Tracing with Spatiotemporal Sample Reprojection. ...
We validate that sample reprojection is an effective way of reducing the computational complexity of real-time stereoscopic ray tracing, bringing potential benefits especially to lower-end devices. ...
Reducing Computational Complexity of Real-Time Stereoscopic Ray Tracing with Spatiotemporal Sample Reprojection 371
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doi:10.5220/0007692103670374
dblp:conf/grapp/MakitaloKKJ19
fatcat:e4wdm3t55ngm7lk3brd3k7qila
The Impacts of Hydrology and Climate on Hydrological Connectivity in a Complex River–Lake Floodplain System Based on High Spatiotemporal Resolution Images
2022
Water
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The drivers that determine the hydrological connectivity (HC) are complex and interrelated, and disentangling this complexity will improve the administration of the river–lake interconnection system. ...
To elucidate the HC of the Dongting Lake, HC was calculated by geostatistical methods in association with Sentinel-2 remote sensing images. ...
Conflicts of Interest: The authors declare no conflict of interest. Water 2022, 14, 1836 ...
doi:10.3390/w14121836
fatcat:ckz5uanrlvffbgviewuavndhbq
Topological Tracking of Connected Components in Image Sequences
[article]
2018
arXiv
pre-print
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In this paper, taking as input a time-varying sequence of two-dimensional (2D) binary digital images, we develop an algorithm for encoding, in the so-called spatiotemporal barcode, lifetime of connected ...
Persistent homology provides information about the lifetime of homology classes along a filtration of cell complexes. Persistence barcode is a graphical representation of such information. ...
Although we have presented our algorithm for computing spatiotemporal paths only for 2D image sequences, it can be extended to sequences of images of any dimension, once a spatiotemporal filtration is ...
arXiv:1801.00939v1
fatcat:sn7vxbtxpjf7pdmzfb7j7q277i
Spatiotemporal Pixelization to Increase the Recognition Score of Characters for Retinal Prostheses
2017
Sensors
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The proposed method showed the highest recognition score at a stimulus frame rate of approximately 20 Hz. The method also significantly improved the recognition score for complex characters. ...
Input images were sampled with a resolution that was four times higher than the number of pixel arrays. We subsampled this image and generated four different phosphene images. ...
resolution images; (c) The presenting way of the spatiotemporal pixelization method. ...
doi:10.3390/s17102439
pmid:29073735
pmcid:PMC5677288
fatcat:2wxnh4moefag7csotgk6jemewa
Spatiotemporal Pixelization to Increase the Recognition Score of Characters for Retinal Prostheses
2017
Sensors
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The proposed method showed the highest recognition score at a stimulus frame rate of approximately 20 Hz. The method also significantly improved the recognition score for complex characters. ...
Input images were sampled with a resolution that was four times higher than the number of pixel arrays. We subsampled this image and generated four different phosphene images. ...
resolution images; (c) The presenting way of the spatiotemporal pixelization method. ...
doi:10.3390/s17112439
pmid:29064455
fatcat:2phd5xcyy5cfpcfkiqpargspuq
All-optical interrogation of neural circuits
2016
Frontiers in Cellular Neuroscience
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Neural circuits display complex spatiotemporal patterns of activity on the millisecond timescale during behavior. ...
Understanding how these activity patterns drive behavior is a fundamental problem in neuroscience, and remains a major challenge due to the complexity of their spatiotemporal dynamics. ...
Neural circuits display complex spatiotemporal patterns of activity on the millisecond timescale during behavior. ...
doi:10.3389/conf.fncel.2016.36.00002
fatcat:llsjvcix35bovg3am3qxbhxrt4
Spatiotemporal feature extraction based on invariance representation
2008
2008 IEEE International Joint Conference on Neural Networks (IEEE World Congress on Computational Intelligence)
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Further experiments on TV videos and facial image sequences show different characteristics of spatiotemporal features are achieved by training the proposed model. ...
This paper investigates spatiotemporal feature extraction from temporal image sequences based on invariance representation. ...
Van Hateren [4] obtained spatiotemporal receptive fields of Wenlu [5] modelled the receptive fields of complex cells. ...
doi:10.1109/ijcnn.2008.4633910
dblp:conf/ijcnn/YangZ08
fatcat:jidoajwi7nbubopxaipgwoluji
Action Recognition Based on Two-Stream Convolutional Networks with Long-Short-Term Spatiotemporal Features
2020
IEEE Access
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The network is mainly composed of two subnetworks. One is long-term spatiotemporal features extraction network (LT-Net) that takes the stacked RGB images as inputs. ...
But most of these approaches are not able to fully extract spatiotemporal features from videos, because of the lack of consideration of the diversity of scales in temporal domain. ...
Then an optical flow image obtained from two adjacent images is taken as input of ST-Net to capture shortterm spatiotemporal features. ...
doi:10.1109/access.2020.2993227
fatcat:epmzsynrcrgezkxrtdgb3foqoy
Efficient summarization of spatiotemporal events
2003
Communications of the ACM
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To construct helixes we have developed two novel image analysis techniques for spatiotemporal monitoring. ...
Raster datasets at discrete temporal instances capture a variety of spatiotemporal phenomena. ...
development of complex and efficient knowledge bases. ...
doi:10.1145/602421.602454
fatcat:cye57zxrovbebfmoecrj42r6ei
Sparse coding-based spatiotemporal saliency for action recognition
2015
2015 IEEE International Conference on Image Processing (ICIP)
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In this paper, we address the problem of human action recognition by representing image sequences as a sparse collection of patch-level spatiotemporal events that are salient in both space and time domain ...
We propose to measure the spatiotemporal saliency of patches using Shannon's selfinformation entropy, where a patch's saliency is determined by information variation in the contents of the patch's spatiotemporal ...
We propose a sparse saliency representation of image sequences as a collection of spatiotemporal events. ...
doi:10.1109/icip.2015.7351160
dblp:conf/icip/ZhangXYSJ15
fatcat:isoxcxpjczdtvoxyttkli3ipa4
Pixelated Carrier Phase-Shifting Shearography Using Spatiotemporal Low-Pass Filtering Algorithm
2019
Sensors
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Using the proposed spatiotemporal filtering algorithm in the complex domain, the set of phase maps are simultaneously low-pass filtered in the spatial and temporal domains, resulting in better phase quality ...
The capability of the proposed shearography is described by theoretical discussions and experiments. ...
Label the complex image 1 2 b exp[i∆ϕ] as C, the angle of which is the phase map ∆ϕ. The phase map ∆ϕ t at time t can be determined from the corresponding complex image C t . ...
doi:10.3390/s19235185
pmid:31779258
pmcid:PMC6928890
fatcat:gvadkklh25g5xcoqdnqhwin334
Spatiotemporal Fusion in Remote Sensing
[chapter]
2020
Recent Advances in Image Restoration with Applications to Real World Problems
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With the increasing development of satellites, nowadays Terabytes of remote sensing images can be acquired every day. ...
In this chapter, we aim to discuss the theory of spatiotemporal fusion by investigating previous works, in addition to describing the basic concepts and some of its applications by summarizing our prior ...
N000141712928) for partial support of the research; and to the Johns Hopkins University Applied Physics Laboratory and IARPA and the IEEE GRSS Image Analysis and Data Fusion Technical Committee for making ...
doi:10.5772/intechopen.93111
fatcat:gbpctokirzhtje23fwhqg5otiq
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