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Data-driven synthesis of smoke flows with CNN-based feature descriptors

Mengyu Chu, Nils Thuerey
2017 ACM Transactions on Graphics  
We present a novel data-driven algorithm to synthesize high-resolution flow simulations with reusable repositories of space-time flow data.  ...  We use convolutional neural networks to generate the descriptors from fluid data such as smoke density and flow velocity.  ...  ACKNOWLEDGMENTS The authors would like to thank Marie-Lena Eckert for helping with generating the video, and Daniel Hook for his work on the direct density synthesis with CNNs.  ... 
doi:10.1145/3072959.3073643 fatcat:4cp4hqmnyzavhndqrtzoe75xbq

Early Fire Detection Based on Aerial 360-Degree Sensors, Deep Convolution Neural Networks and Exploitation of Fire Dynamic Textures

Panagiotis Barmpoutis, Tania Stathaki, Kosmas Dimitropoulos, Nikos Grammalidis
2020 Remote Sensing  
Then, two DeepLab V3+ networks are applied to perform flame and smoke segmentation, respectively.  ...  To this end, rapid advances in remote sensing systems including ground-based, unmanned aerial vehicle-based and satellite-based systems have been adopted for effective forest fire surveillance.  ...  : Region-based Convolutional Neural Network, VLAD: Vector of Locally Aggregated Descriptors.  ... 
doi:10.3390/rs12193177 fatcat:tju6cx4dizgpfhrzb2wbsc7zyu

2021 Index IEEE Transactions on Image Processing Vol. 30

2021 IEEE Transactions on Image Processing  
The primary entry includes the coauthors' names, the title of the paper or other item, and its location, specified by the publication abbreviation, year, month, and inclusive pagination.  ...  Yang, J., +, TIP 2021 8686-8701 Collaboration Image Comes Dancing With Collaborative Parsing-Flow Video Synthesis.  ...  ., +, TIP 2021 532-545 Weighted Feature Histogram of Multi-Scale Local Patch Using Multi-Bit Binary Descriptor for Face Recognition.  ... 
doi:10.1109/tip.2022.3142569 fatcat:z26yhwuecbgrnb2czhwjlf73qu

Learning the Synthesizability of Dynamic Texture Samples

Feng Yang, Gui-Song Xia, Dengxin Dai, Liangpei Zhang
2019 IEEE Transactions on Image Processing  
dynamic texture synthesis (EDTS).  ...  Based on these features and an annotated dynamic texture dataset, we then train regression models to predict the synthesizability scores of texture samples and learn classifiers to select the most suitable  ...  The appearance of DTs can vary largely, ranging from fire and smoke to crowds and traffic flow.  ... 
doi:10.1109/tip.2018.2886807 fatcat:zpkh3holbjcbzjixiwszg6cyya

Horizontal Review on Video Surveillance for Smart Cities: Edge Devices, Applications, Datasets, and Future Trends

Mostafa Ahmed Ezzat, Mohamed A. Abd El Ghany, Sultan Almotairi, Mohammed A.-M. Salem
2021 Sensors  
The automation strategy of today's smart cities relies on large IoT (internet of Things) systems that collect big data analytics to gain insights.  ...  Namely, the application of video surveillance in smart cities, algorithms, datasets, and embedded systems.  ...  With different methods, when it comes to a conventional method like spatial features age synthesis and estimation via face, then comes the Machine Learning technique, which can be seen to use CNN.  ... 
doi:10.3390/s21093222 pmid:34066509 fatcat:27lploodmvdl3k36x4jzw2acly

Momental directional patterns for dynamic texture recognition

Thanh Tuan Nguyen, Thanh Phuong Nguyen, Frédéric Bouchara, Xuan Son Nguyen
2019 Computer Vision and Image Understanding  
Third, we present a new framework, called Momental Directional Patterns, taking into account the advantages of filtering and local-feature-based approaches to form effective DT descriptors.  ...  descriptors.  ...  Acknowledgment We would like to express our sincere appreciation for the insightful and valuable comments of the editors and reviewers which allow us to clarify the presentation of this work.  ... 
doi:10.1016/j.cviu.2019.102882 fatcat:y57ug4ctlfh7hgq7ammy77yx6a

Learning Similarity Metrics for Numerical Simulations [article]

Georg Kohl, Kiwon Um, Nils Thuerey
2020 arXiv   pre-print
We propose a neural network-based approach that computes a stable and generalizing metric (LSiM) to compare data from a variety of numerical simulation sources.  ...  To demonstrate that the proposed approach outperforms existing metrics for vector spaces and other learned, image-based metrics, we evaluate the different methods on a large range of test data.  ...  We would like to thank Stephan Rasp for preparing the WeatherBench data and all reviewers for helping to improve this work.  ... 
arXiv:2002.07863v2 fatcat:chi2mlzmqjc2bjczbw3e7nyfae

Dynamic Upsampling of Smoke through Dictionary-based Learning [article]

Kai Bai, Wei Li, Mathieu Desbrun, Xiaopei Liu
2019 arXiv   pre-print
In this paper, we propose a novel dictionary-based learning approach to the dynamic upsampling of smoke flows.  ...  computed with any numerical solver.  ...  The most relevant approach, proposed by Chu et al. [2017] , used a CNN-based feature descriptor to synthesize high-resolution smoke details, also based on a local patch-based synthesis scheme.  ... 
arXiv:1910.09166v1 fatcat:mizrec5opbhw5p42b3pntnxllu

2020 Index IEEE Transactions on Image Processing Vol. 29

2020 IEEE Transactions on Image Processing  
., +, TIP 2020 3845-3858 Unsupervised Learning of Optical Flow With CNN-Based Non-Local Filtering.  ...  ., +, TIP 2020 3845-3858 Unsupervised Learning of Optical Flow With CNN-Based Non-Local Filter- ing.  ... 
doi:10.1109/tip.2020.3046056 fatcat:24m6k2elprf2nfmucbjzhvzk3m

The City Brain: Practice of Large-Scale Artificial Intelligence in the Real World

Xiansheng Hua, xu shen, Jianfeng Zhang, jianqiang huang, Jingyuan Chen, Qin Zhou, Zhihang Fu, Yiru Zhao
2019 IET Smart Cities  
City Brain is an end-to-end system whose goal is to glean irreplaceable values from big city data, specifically from videos, with the assistance of rapidly evolving artificial intelligence technologies  ...  A city is an aggregate of a huge amount of heterogeneous data. However, extracting meaningful values from that data remains a challenge.  ...  To merge the global and local features, we propose a set of local operations as a generic family of building blocks for synthesising local and global information in any CNNs layer, termed Local CNN [17  ... 
doi:10.1049/iet-smc.2019.0034 fatcat:45qm7t5qgve7hgyvfzjl7huocq

Integrating Deep Learning and Augmented Reality to Enhance Situational Awareness in Firefighting Environments [article]

Manish Bhattarai
2021 arXiv   pre-print
Next, we extended this CNN framework for object detection, tracking, segmentation with a Mask RCNN framework, and scene description with a multimodal natural language processing(NLP) framework.  ...  Third, we built a deep Q-learning-based agent, immune to stress-induced disorientation and anxiety, capable of making clear navigation decisions based on the observed and stored facts in live-fire environments  ...  orientation with SIFT and Optical flow.  ... 
arXiv:2107.11043v2 fatcat:3jm5zawelze7dhx37luja7mly4

ATT Squeeze U-Net: A Lightweight Network for Forest Fire Detection and Recognition

Jianmei Zhang, Hongqing Zhu, Pengyu Wang, Xiaofeng Ling
2021 IEEE Access  
In this way, salient features are emphasized so that the proposed method could be competent at forest fire segmentation tasks with a small number of parameters.  ...  This model takes attention mechanism to highlight useful features and suppress irrelevant contents by embedding Attention Gate (AG) units in the skip connection of U-shape structure.  ...  Matlani and Shrivastava [25] presented a deep feature synthesis method based on VGG-Net for the classification of smoke.  ... 
doi:10.1109/access.2021.3050628 fatcat:hoyejuq4xfgxdhh4kp5ngqnzne

Artificial Intelligence in the Creative Industries: A Review [article]

Nantheera Anantrasirichai, David Bull
2021 arXiv   pre-print
The potential of AI (or its developers) to win awards for its original creations in competition with human creatives is also limited, based on contemporary technologies.  ...  In contrast, we observe that the successes of machine learning in domains with fewer constraints, where AI is the 'creator', remain modest.  ...  FlatteNet integrates fully convolutional network with pixel-wise visual descriptors converting from feature maps.  ... 
arXiv:2007.12391v5 fatcat:mn2xqeylyrbabbu5zwln3admtm

tempoGAN: A Temporally Coherent, Volumetric GAN for Super-resolution Fluid Flow [article]

You Xie, Erik Franz, Mengyu Chu, Nils Thuerey
2018 arXiv   pre-print
Based on a conditional generative adversarial network that is designed for the inference of three-dimensional volumetric data, our model generates consistent and detailed results by using a novel temporal  ...  In this way, our network learns to generate advected quantities with highly detailed, realistic, and temporally coherent features.  ...  We would like to thank Wei He for helping with making the videos, and all members of the graphics labs of TUM, IST Austria and ETH Zurich for the thorough discussions.  ... 
arXiv:1801.09710v2 fatcat:eihainku2vh4zdsfghmz4gbbxm

Audio, Speech, Language, Signal Processing for COVID-19: A Comprehensive Overview [article]

Gauri Deshpande, Björn W. Schuller
2020 arXiv   pre-print
Several efforts, from collection of COVID-19 patients' data to screening them for the virus's detection are taken with rigour.  ...  In this paper, we give an overview of the speech and other audio signal, language and general signal processing-based work done using Artificial Intelligence techniques to screen, diagnose, monitor, and  ...  [49] Low Level Descriptors and functional features ex- tracted using openSMILE [50] with k-NN, SVM, and CNN classifiers 31 emergency call recordings of the Integrated Rescue System of the 112  ... 
arXiv:2011.14445v1 fatcat:o2jvifwth5h5zgyoyycrzdemae
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