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Spatiotemporal imaging of complexity

Stephen E. Robinson, Arnold J. Mandell, Richard Coppola
2013 Frontiers in Computational Neuroscience  
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

Rasa Smidtaite, Guangqing Lu, Minvydas Ragulskis
2019 Entropy  
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

Ramsey N. Majzoub, Chia-Ling Chan, Kai K. Ewert, Keng S. Liang, Cyrus R. Safinya
2013 Biophysical Journal  
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

Markku Mäkitalo, Petrus Kivi, Matias Koskela, Pekka Jääskeläinen
2019 Proceedings of the 14th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications  
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 0 10 20 30 40 50 60 Frame 0.02 0.04 0.06 0.08 0.1 0.12 0.14  ... 
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

Suhang Yang, Jie Liang, Xiaodong Li, Yuru Yi, Ziqian Zhu, Xin Li, Xuwu Chen, Shuai Li, Yeqing Zhai, Ziming Pei
2022 Water  
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]

Rocio Gonzalez-Diaz, Maria-Jose Jimenez, Belen Medrano
2018 arXiv   pre-print
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

Hyun Seok Kim, Kwang Suk Park
2017 Sensors  
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

Hyun Seok Kim, Kwang Suk Park
2017 Sensors  
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

Häusser Michael
2016 Frontiers in Cellular Neuroscience  
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

Wenlu Yang, Liqing Zhang
2008 2008 IEEE International Joint Conference on Neural Networks (IEEE World Congress on Computational Intelligence)  
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

Yanqin Wan, Zujun Yu, Yao Wang, Xingxin Li
2020 IEEE Access  
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

Peggy Agouris, Anthony Stefanidis
2003 Communications of the ACM  
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

Tao Zhang, Long Xu, Jie Yang, Pengfei Shi, Wenjing Jia
2015 2015 IEEE International Conference on Image Processing (ICIP)  
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

Peizheng Yan, Xiangwei Liu, Shuangle Wu, Fangyuan Sun, Qihan Zhao, Yonghong Wang
2019 Sensors  
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]

Hessah Albanwan, Rongjun Qin
2020 Recent Advances in Image Restoration with Applications to Real World Problems  
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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