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Cancer-Cell Deep-Learning Classification by Integrating Quantitative-Phase Spatial and Temporal Fluctuations

Shani Ben Baruch, Noa Rotman-Nativ, Alon Baram, Hayit Greenspan, Natan T. Shaked
2021 Cells  
thickness map, demonstrating the benefit in the acquisition of the cells over time and in extracting their spatio-temporal fluctuation maps, to be used as an input to the classifying deep neural network  ...  We present a new classification approach for live cells, integrating together the spatial and temporal fluctuation maps and the quantitative optical thickness map of the cell, as acquired by common-path  ...  Our approach, on the other hand, extracts both the spatial and temporal fluctuations from the video as one image per cell, and utilizes a unique triple-path neural-network architecture to integrate the  ... 
doi:10.3390/cells10123353 pmid:34943859 pmcid:PMC8699730 fatcat:3ggrhgl7wbhezegb55s63zwze4

Efficient Online Spatio-Temporal Filtering for Video Event Detection [chapter]

Xinchen Yan, Junsong Yuan, Hui Liang
2015 Lecture Notes in Computer Science  
We propose a novel spatio-temporal filtering technique to improve the per-pixel prediction map, by leveraging the spatio-temporal smoothness of the video signal.  ...  To demonstrate the effectiveness of our online spatio-temporal filtering, we perform three video event tasks: salient action discovery, walking pedestrian detection, and sports event detection, all in  ...  [35] formulated video event detection as a spatio-temporal path discovery problem.  ... 
doi:10.1007/978-3-319-16178-5_54 fatcat:zrjyxujpcrbohdyashk7s5wuou

HyperCafe

Nitin Sawhney, David Balcom, Ian Smith
1996 Proceedings of the the seventh ACM conference on Hypertext - HYPERTEXT '96  
Another table, another opportunity to move.  ...  We wish to thank Melissa House and Mary Anne Stevens for their camera work; Kelly Allison Johnson, Shawn Elson, Carolyn Cole, and Andy Deller, for their talent and patience as actors in our video production  ...  We must first thank Matthew Causey for his assistance in the video production, and his continued enthusiasm for the project.  ... 
doi:10.1145/234828.234829 dblp:conf/ht/SawhneyBS96 fatcat:3bjnwhyvivh7bf5he2hu5u5lqm

Video Enhancement Using Adaptive Spatio-Temporal Connective Filter and Piecewise Mapping

Chao Wang, Li-Feng Sun, Bo Yang, Yi-Ming liu, Shi-Qiang Yang
2008 EURASIP Journal on Advances in Signal Processing  
This paper presents a novel video enhancement system based on an adaptive spatio-temporal connective (ASTC) noise filter and an adaptive piecewise mapping function (APMF).  ...  , aiming to reduce the mixture of the most two common types of noises-Gaussian and impulse noises in spatial and temporal directions.  ...  For a given defective video, we introduce an adaptive spatio-temporal connective (ASTC) filter, which adapts from temporal to spatial filters based on noise level and local motion characteristics to remove  ... 
doi:10.1155/2008/165792 fatcat:tx7mnidxyzaidonnvdlyr34qre

A Review on Action Recognition and Action Prediction of Human(s) using Deep Learning Approaches

Syed Abdussami, Nagendraprasad S., Shivarajakumara K., Sanjeet Singh, A. Thyagarajamurthy
2019 International Journal of Computer Applications  
of spatio-temporal fusion and huge memory cost.  ...  In the eighth research paper, a new temporal transition layer (TTL) that models variable temporal convolution kernel depths is embedded into 3D CNN to form T3D (Temporal 3D Convnets).  ...  As a robust and compact video representation method, temporal rank pooling has the ability to aggregate the temporal relevant information throughout a video via a learning to rank approach [3] .  ... 
doi:10.5120/ijca2019919605 fatcat:pww4cnfysffavg7f27vq5f25ra

Superluminal Motion-Assisted 4-Dimensional Light-in-Flight Imaging [article]

Kazuhiro Morimoto, Ming-Lo Wu, Andrei Ardelean, Edoardo Charbon
2020 arXiv   pre-print
A machine learning technique is applied to analyze the measured spatio-temporal data set.  ...  Our approach could potentially provide novel functionalities to high speed imaging applications such as non-line-of-sight imaging and time-resolved optical tomography.  ...  In contrast to conventional timecorrelated single-photon counting (TCSPC) approaches, where power-and area-consuming time-to-digital converter (TDC) circuits restrict the scaling of the pixel array [18  ... 
arXiv:2007.09308v1 fatcat:mxlfkzymljgj3cugtznduj5cni

Video enhancement using per-pixel virtual exposures

Eric P. Bennett, Leonard McMillan
2005 ACM SIGGRAPH 2005 Papers on - SIGGRAPH '05  
We enhance underexposed, low dynamic range videos by adaptively and independently varying the exposure at each photoreceptor in a post-process.  ...  Temporal integration enables us to expand the image's dynamic range while simultaneously reducing noise.  ...  Acknowledgements The authors wish to thank our actors: Aaron Block, Tim Malone, John Moriconi, and the pyramid of marshmallows. Thanks also to Jingyi Yu for advice and proofreading.  ... 
doi:10.1145/1186822.1073272 fatcat:ubkyhmfe2vebvjuuzpvah3zvzy

Video enhancement using per-pixel virtual exposures

Eric P. Bennett, Leonard McMillan
2005 ACM Transactions on Graphics  
We enhance underexposed, low dynamic range videos by adaptively and independently varying the exposure at each photoreceptor in a post-process.  ...  Temporal integration enables us to expand the image's dynamic range while simultaneously reducing noise.  ...  Acknowledgements The authors wish to thank our actors: Aaron Block, Tim Malone, John Moriconi, and the pyramid of marshmallows. Thanks also to Jingyi Yu for advice and proofreading.  ... 
doi:10.1145/1073204.1073272 fatcat:kblycyyh7jcxzgjf6wepfcbjbe

Learning Spatio-Temporal Representation with Pseudo-3D Residual Networks [article]

Zhaofan Qiu and Ting Yao and Tao Mei
2017 arXiv   pre-print
A few studies have shown that performing 3D convolutions is a rewarding approach to capture both spatial and temporal dimensions in videos.  ...  Nevertheless, it is not trivial when utilizing a CNN for learning spatio-temporal video representation.  ...  One natural way to encode spatio-temporal information in videos is to extend the convolution kernels in CNN from 2D to 3D and train a brand new 3D CNN.  ... 
arXiv:1711.10305v1 fatcat:lhswlah3c5hdhetakknrqipwzy

Learning Spatio-Temporal Representation with Pseudo-3D Residual Networks

Zhaofan Qiu, Ting Yao, Tao Mei
2017 2017 IEEE International Conference on Computer Vision (ICCV)  
A few studies have shown that performing 3D convolutions is a rewarding approach to capture both spatial and temporal dimensions in videos.  ...  Nevertheless, it is not trivial when utilizing a CNN for learning spatio-temporal video representation.  ...  One natural way to encode spatio-temporal information in videos is to extend the convolution kernels in CNN from 2D to 3D and train a brand new 3D CNN.  ... 
doi:10.1109/iccv.2017.590 dblp:conf/iccv/QiuYM17 fatcat:zlpfokrdvbfdbko5hn7epmdtju

A Semantic Geo-Tagged Multimedia-Based Routing in a Crowdsourced Big Data Environment

Faizan Ur Rehman, Ahmed Lbath, Abdullah Murad, Md. Abdur Rahman, Bilal Sadiq, Akhlaq Ahmad, Ahmad Qamar, Saleh Basalamah
2015 Proceedings of the 23rd ACM international conference on Multimedia - MM '15  
The system has been designed to be able to handle a very large number of multimedia spatio-temporal requests at any given moment.  ...  To solve the problem, we propose a novel semantic routing system that leverages geo-tagged rich crowdsourced multimedia information such as images, audio, video and text to add semantics to the conventional  ...  Visualizer displays the results of multimedia enhanced spatio-temporal queries on a map, both online and offline.  ... 
doi:10.1145/2733373.2807985 dblp:conf/mm/RehmanLMRSAQB15 fatcat:fm2no7qudngw7frkfdwijx6g54

BilVideo: Design and Implementation of a Video Database Management System

Mehmet Emin Dönderler, Ediz Şaykol, Umut Arslan, Özgür Ulusoy, Uğur Güdükbay
2005 Multimedia tools and applications  
In our approach, object trajectories, object-appearance relations, and spatio-temporal relations between video objects are represented as Prolog facts in a knowledge-base, and they are not explicitly related  ...  The rules in the knowledge-base significantly reduce the number of facts that need to be stored for spatio-temporal querying of video data [11] .  ...  In contrast, BilVideo uses a rule-based approach to model spatio-temporal relations between objects.  ... 
doi:10.1007/s11042-005-2715-7 fatcat:nmcyutwfindu7cv6ktzzeip2by

Perceptually-informed accelerated rendering of high quality walkthrough sequences [article]

Karol Myszkowski, Przemyslaw Rokita, Takehiro Tawara
1999 Symposium on Rendering  
The final animation quality is enhanced by an efficient spatio-temporal antialiasing, which utilize the PF to perform a motion-compensated filtering.  ...  A perception-based spatio-temporal Animation Quality Metric (AQM) is used to automatically guide such a hybrid rendering.  ...  Acknowledgments Special thanks to Scott Daly for his stimulating comments on video quality metrics.  ... 
doi:10.2312/egwr/egwr99/005-018 fatcat:xsxwqnlgmbbz3mohxbawfemmqi

SimulLR: Simultaneous Lip Reading Transducer with Attention-Guided Adaptive Memory [article]

Zhijie Lin, Zhou Zhao, Haoyuan Li, Jinglin Liu, Meng Zhang, Xingshan Zeng, Xiaofei He
2021 arXiv   pre-print
promote the training of the lip reading transducer. (2) To learn better spatio-temporal representations for simultaneous encoder, we construct a truncated 3D convolution and time-restricted self-attention  ...  Lip reading, aiming to recognize spoken sentences according to the given video of lip movements without relying on the audio stream, has attracted great interest due to its application in many scenarios  ...  For the simultaneous encoder, we construct a truncated 3D convolution and time-restricted self-attention layer to learn better spatio-temporal representations for video segments.  ... 
arXiv:2108.13630v1 fatcat:mvhi6fatanekfp4oqe52qphzyu

A Flexible Multiple Description Coding Framework for Adaptive Peer-to-Peer Video Streaming

Emrah Akyol, A. Murat Tekalp, M. Reha Civanlar
2007 IEEE Journal on Selected Topics in Signal Processing  
Efficient peer-to-peer (P2P) video streaming is a challenging task due to time-varying nature of both the number of available peers and network/channel conditions.  ...  This paper proposes a novel adaptive P2P video streaming system, which features: i) a new flexible multiple-description coding (F-MDC) framework, such that the number of base and enhancement descriptions  ...  Both motion vectors and the lowest spatio-temporal frequency code-block should be received to decode the GOP.  ... 
doi:10.1109/jstsp.2007.901527 fatcat:ywkelyz445dg7pwo3loanlqcgy
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