Filters








1,438 Hits in 11.5 sec

Machine Learning-Based Multitarget Tracking of Motion in Sports Video

Xueliang Zhang, Fu-Qiang Yang, Wei Wang
2021 Complexity  
In this paper, we track the motion of multiple targets in sports videos by a machine learning algorithm and study its tracking technique in depth.  ...  In terms of moving target detection, the traditional detection algorithms are analysed theoretically as well as implemented algorithmically, based on which a fusion algorithm of four interframe difference  ...  similarity metric, and for this problem, this paper optimizes the traditional classifier for cosine similarity to achieve the extraction and effective matching of target depth epistatic features. en,  ... 
doi:10.1155/2021/5533884 fatcat:n2k34xrv6baw7pdn36rnt6p46i

2020 Index IEEE Transactions on Image Processing Vol. 29

2020 IEEE Transactions on Image Processing  
., +, TIP 2020 3374-3387 A Weighted Fidelity and Regularization-Based Method for Mixed or Unknown Noise Removal From Images on Graphs.  ...  Deng, F., +, TIP 2020 5531-5541 Gradient methods A Weighted Fidelity and Regularization-Based Method for Mixed or Unknown Noise Removal From Images on Graphs.  ... 
doi:10.1109/tip.2020.3046056 fatcat:24m6k2elprf2nfmucbjzhvzk3m

Digital ira and beyond

Javier von der Pahlen, Jorge Jimenez, Etienne Danvoye, Paul Debevec, Graham Fyffe, Oleg Alexander
2014 ACM SIGGRAPH 2014 Courses on - SIGGRAPH '14  
The performance is converted to standard bone animation on a 4k mesh using a boneweight and transform solver.  ...  facial scanning, blendshape rigging, video-based performance capture, animation compression, realtime skin and eye shading, hair, latest results, and future directions.  ...  We thank the authors of [Beeler et al. 2010] and [Klaudiny et al. 2010] for graciously  ... 
doi:10.1145/2614028.2615407 dblp:conf/siggraph/PahlenJDDFA14 fatcat:fon6t6inx5cdlj5bpg3p53dr7i

2021 Index IEEE Transactions on Multimedia Vol. 23

2021 IEEE transactions on multimedia  
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.  ...  The Subject Index contains entries describing the item under all appropriate subject headings, plus the first author's name, the publication abbreviation, month, and year, and inclusive pages.  ...  ., +, TMM 2021 2235-2244 A New Image Compression Algorithm Based on Non-Uniform Partition and U-System.  ... 
doi:10.1109/tmm.2022.3141947 fatcat:lil2nf3vd5ehbfgtslulu7y3lq

Blazing Signature Filter: a library for fast pairwise similarity comparisons

Joon-Yong Lee, Grant M. Fujimoto, Ryan Wilson, H. Steven Wiley, Samuel H. Payne
2018 BMC Bioinformatics  
The algorithm transforms datasets into binary metrics, allowing it to utilize the computationally efficient bit operators and provide a coarse measure of similarity.  ...  Identifying similarities between datasets is a fundamental task in data mining and has become an integral part of modern scientific investigation.  ...  based on the Fisher's exact test.  ... 
doi:10.1186/s12859-018-2210-6 pmid:29890950 pmcid:PMC6047367 fatcat:lz7ubanntzhsph6gihnfoozt44

Survey of Scientific Document Summarization Techniques

Sheena Kurian K, Sheena Mathew
2020 Computer Science  
The different methods commonly used in automatic text summarization are discussed in this paper with their pros and cons.  ...  Commonly used evaluation techniques and datasets in this field are also discussed. Rouge and Pyramid scores of the different methods are tabulated for easy comparison of the results.  ...  Different Methods in Citation Graph construction and clustering based on similarity of sentences: A network is built with citing sentences as nodes and the similarities of two sentences as edge weights  ... 
doi:10.7494/csci.2020.21.2.3356 fatcat:mbklxkl5dfaq7ax452p3bptluq

A Tetrahedron-Based Heat Flux Signature for Cortical Thickness Morphometry Analysis [chapter]

Yonghui Fan, Gang Wang, Natasha Lepore, Yalin Wang
2018 Lecture Notes in Computer Science  
of Functional Networks and Structural Connectivity 560 Ultra-fast T2-weighted MR Reconstruction using Complementary T1-weighted Information 562 Deep Convolutional Gaussian Mixture Model for Stain-Color  ...  with Cosine Embeddings and Recurrent Hourglass Networks 551 Some Investigations on Robustness of Deep Learning in Limited Angle Tomography 554 Normative Modeling of Neuroimaging Data using Scalable Multi-Task  ... 
doi:10.1007/978-3-030-00931-1_48 pmid:30338317 pmcid:PMC6191198 fatcat:dqhvpm5xzrdqhglrfftig3qejq

Kernel-based object tracking

D. Comaniciu, V. Ramesh, P. Meer
2003 IEEE Transactions on Pattern Analysis and Machine Intelligence  
We employ a metric derived from the Bhattacharyya coefficient as similarity measure, and use the mean shift procedure to perform the optimization.  ...  In the presented tracking examples the new method successfully coped with camera motion, partial occlusions, clutter, and target scale variations.  ...  Metric based on Bhattacharyya Coefficient The similarity function defines a distance among target model and candidates.  ... 
doi:10.1109/tpami.2003.1195991 fatcat:3yyvo3swijharfmxp55jtf4s6u

A Survey of Appearance Models in Visual Object Tracking [article]

Xi Li, Weiming Hu, Chunhua Shen, Zhongfei Zhang, Anthony Dick, Anton van den Hengel
2013 arXiv   pre-print
Visual object tracking is a significant computer vision task which can be applied to many domains such as visual surveillance, human computer interaction, and video compression.  ...  In particular, this survey takes a module-based architecture that enables readers to easily grasp the key points of visual object tracking.  ...  From an viewpoint of signal compression, Li et al. ] construct a compact 3D-DCT object representation based on a DCT subspace spanned by cosine basis functions.  ... 
arXiv:1303.4803v1 fatcat:tx333ej63faufnxffjttac4jxq

A survey of appearance models in visual object tracking

Xi Li, Weiming Hu, Chunhua Shen, Zhongfei Zhang, Anthony Dick, Anton Van Den Hengel
2013 ACM Transactions on Intelligent Systems and Technology  
Visual object tracking is a significant computer vision task which can be applied to many domains such as visual surveillance, human computer interaction, and video compression.  ...  In particular, this survey takes a module-based architecture that enables readers to easily grasp the key points of visual object tracking.  ...  From an viewpoint of signal compression, Li et al. ] construct a compact 3D-DCT object representation based on a DCT subspace spanned by cosine basis functions.  ... 
doi:10.1145/2508037.2508039 fatcat:uwptu4nkmbhjvib5szoafjhg3i

An FPGA-based fast two-symbol processing architecture for JPEG 2000 arithmetic coding

Nandini Ramesh Kumar, Wei Xiang, Yafeng Wang
2010 2010 IEEE International Conference on Acoustics, Speech and Signal Processing  
IVMSP-P8.11: GHT BASED IMPLEMENTATION OF THE FOR MIXTURES OF MULTI-GAUSSIANS AND ITS APPLICATIONS TO VIDEO TRACKING LOSSLESS IMAGE COMPRESSION Xiwen Zhao, Zhihai He, University of Missouri, United  ...  Institute of Automation, Chinese Academy of Sciences, China IVMSP-P2.13: FROM EDGES TO LINEAR FEATURES: A PCA AND GRAPH BASED METHOD .............................. 978 Jian Li, Xiangjing An, Jun Tan,  ... 
doi:10.1109/icassp.2010.5495418 dblp:conf/icassp/KumarXW10 fatcat:kxhovzwnzveu5pgdoelok3ox2m

Audiovisual Saliency Prediction in Uncategorized Video Sequences based on Audio-Video Correlation [article]

Maryam Qamar Butt, Anis Ur Rahman
2021 arXiv   pre-print
Based on the hypothesis that an audiovisual saliency model will be an improvement over traditional saliency models for natural uncategorized videos, this work aims to provide a generic audio/video saliency  ...  model augmenting a visual saliency map with an audio saliency map computed by synchronizing low-level audio and visual features.  ...  RELATED WORK Unimodal saliency models use only one type of sensory stimulus as input, some visual cues including  ... 
arXiv:2101.03966v1 fatcat:w54os45srnewpdalv6a2lczhmi

Local Feature Design Concepts, Classification, and Learning [chapter]

Scott Krig
2014 Computer Vision Metrics  
Shape-based methods are by nature more scale invariant than interest point and feature descriptor methods, since shape-based methods depend on larger polygon structures and shape metrics.  ...  Super-pixel methods are based on similarity. (Several super-pixel processing methods were discussed in Chapter 3.)  ... 
doi:10.1007/978-1-4302-5930-5_4 fatcat:va2d2tylszhu7h3uefu54s76a4

Efficacy of different dynamic functional connectivity methods to capture cognitively relevant information

Hua Xie, Charles Y. Zheng, Daniel A. Handwerker, Peter A. Bandettini, Vince D. Calhoun, Sunanda Mitra, Javier Gonzalez-Castillo
2019 NeuroImage  
We evaluated two framewise methods (dFC estimates for a single time point): dynamic conditional correlation (DCC) and jackknife correlation (JC); and five window-based methods: sliding window correlation  ...  We found that all window-based dFC methods performed well for commonly used window lengths (WL ≥ 30sec), with sliding window methods (SWC, SWC_L1) as well as the hybrid DCC_MA approach performing slightly  ...  This work was also partially supported by NIH grants P20GM103472 and R01REB020407 and NSF grant 1539067.  ... 
doi:10.1016/j.neuroimage.2018.12.037 pmid:30576850 pmcid:PMC6401299 fatcat:eif6nrbwjbhsddfvnozke5xygy

2020 Index IEEE/ACM Transactions on Audio, Speech, and Language Processing Vol. 28

2020 IEEE/ACM Transactions on Audio Speech and Language Processing  
Li, Z., +, TASLP 2020 2743-2755 Graph theory Differential Beamforming on Graphs.  ...  Ando, A., +, TASLP 2020 715-728 Data compression A Model Compression Method With Matrix Product Operators for Speech Enhancement.  ...  T Target tracking Multi-Hypothesis Square-Root Cubature Kalman Particle Filter for Speaker Tracking in Noisy and Reverberant Environments. Zhang, Q., +, TASLP 2020 1183 -1197  ... 
doi:10.1109/taslp.2021.3055391 fatcat:7vmstynfqvaprgz6qy3ekinkt4
« Previous Showing results 1 — 15 out of 1,438 results