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Image and Video Tag Aggregation

Olga Kanishcheva, Natalia Sharonova
2018 International Joint Conference on the Analysis of Images, Social Networks and Texts  
In this paper, we explore the task of tag aggregations for the video and image files. In our work, we describe recent achievements image description generation, discuss tags and tagging.  ...  Our detailed tag analysis and experiment results showed that pipeline with NLP methods received good results for the whole video, but for each shot, in future work, we need to use such resources as Nasari  ...  We received sets of tags for all videos with using auto-tagging program from Imagga company. The authors in the paper [5] showed the approach for refinement of image tags.  ... 
dblp:conf/aist/KanishchevaS18 fatcat:zb7ulsr4gvb4zl727ze7ntt35y

Sky Optimization: Semantically aware image processing of skies in low-light photography

Orly Liba, Yair Movshovitz-Attias, Longqi Cai, Yael Pritch, Yun-Ta Tsai, Huizhong Chen, Elad Eban, Jonathan T. Barron
2020 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)  
Our method performs end-to-end sky optimization in less than half a second per image on a mobile device.  ...  We introduce a method for creating an accurate sky-mask dataset that is based on partially annotated images that are inpainted and refined by our modified weighted guided filter.  ...  Dual auto white balance A conventional image processing pipeline is often constrained by the assumption of a single global white balance: pipelines assume that all pixels are lit by one single illuminant  ... 
doi:10.1109/cvprw50498.2020.00271 dblp:conf/cvpr/LibaMCPTCEB20 fatcat:62gobyi3ozb2vnvfvhthwqhxu4

A Review On Search Based Face Annotation Using Weakly Labeled Facial Images

Prof.Borude Krishna
2015 Zenodo  
The main aim of image annotation process is to automatically assign associate label to images,so image retrieving use rs are able to query images by labels and automatically detect hum an faces from a  ...  Auto face annotation can be beneficial to many real world applications like Facebook.  ...  So Auto Face Annotation motivates to us or refining the labels of facial images and annotates them automatically [1] [4] . Auto face annotation can be beneficial to many real world applications.  ... 
doi:10.5281/zenodo.1475510 fatcat:kazbpcg3mzhmhmpoxkuk2jxli4

Sky Optimization: Semantically aware image processing of skies in low-light photography [article]

Orly Liba, Longqi Cai, Yun-Ta Tsai, Elad Eban, Yair Movshovitz-Attias, Yael Pritch, Huizhong Chen, Jonathan T. Barron
2020 arXiv   pre-print
Our method performs end-to-end sky optimization in less than half a second per image on a mobile device.  ...  We introduce a method for creating an accurate sky-mask dataset that is based on partially annotated images that are inpainted and refined by our modified weighted guided filter.  ...  Acknowledgements The algorithms presented in this paper are a result of an ongoing collaboration between several teams in Google Research.  ... 
arXiv:2006.10172v1 fatcat:bv7ejd2q75aszk2yq3wnbfduwu

I know what you did last summer: object-level auto-annotation of holiday snaps

Stephan Gammeter, Lukas Bossard, Till Quack, Luc Van Gool
2009 2009 IEEE 12th International Conference on Computer Vision  
We combine these two lines of work to a large-scale system for auto-annotation of holiday snaps.  ...  The state-of-the art in visual object retrieval from large databases allows to search millions of images on the object level.  ...  Conclusions In this paper we presented a full auto annotation pipeline for holiday snaps.  ... 
doi:10.1109/iccv.2009.5459180 dblp:conf/iccv/GammeterBQG09 fatcat:haqnonfy35g4blylwectrnigne

A microtubule RELION-based pipeline for cryo-EM image processing [article]

Alexander D Cook, Szymon W Manka, Su Wang, Carolyn Moores, Joseph Atherton
2019 biorxiv/medrxiv   pre-print
Here we present a pipeline designed for image processing and high-resolution reconstruction of cryo-electron microscopy microtubule datasets, based in the popular and user-friendly RELION image-processing  ...  The pipeline uses a combination of supervised classification and prior knowledge about geometric lattice constraints in microtubules to accurately determine microtubule architecture and seam location.  ...  In our hands, with near-atomic resolution data, a single iteration of Bayesian polishing followed by CTF refinement followed by 3D auto refinement, applied post-pipeline, results in minor improvements  ... 
doi:10.1101/673566 fatcat:ou5aizc7hve3tmuw56fr6dyn5i

The Center for Eukaryotic Structural Genomics

John L. Markley, David J. Aceti, Craig A. Bingman, Brian G. Fox, Ronnie O. Frederick, Shin-ichi Makino, Karl W. Nichols, George N. Phillips, John G. Primm, Sarata C. Sahu, Frank C. Vojtik, Brian F. Volkman (+2 others)
2009 Journal of Structural and Functional Genomics  
CESG's mission is to develop improved methods for the high-throughput solution of structures from eukaryotic proteins, with a very strong weighting toward human proteins of biomedical relevance.  ...  Whereas eukaryotic proteins generally are considered to be much more challenging targets than prokaryotic proteins, the technology now in place at CESG yields success rates that are comparable to those  ...  Acknowledgments The authors thank all members of the Center for Eukaryotic Structural Genomics, past and present, for their contributions to this project.  ... 
doi:10.1007/s10969-008-9057-4 pmid:19130299 pmcid:PMC2705709 fatcat:27ak564yqvhqtlg5ryxfjp63fy

Fast global interactive volume segmentation with regional supervoxel descriptors

Imanol Luengo, Mark Basham, Andrew P. French, Martin A. Styner, Elsa D. Angelini
2016 Medical Imaging 2016: Image Processing  
additional features to train a new classifier to refine more detailed label information.  ...  These models have yet to find impact in biomedical imaging due to complexities in training and slow inference in 3D images due to the very large number of voxels.  ...  effect to the auto-context RF approach.  ... 
doi:10.1117/12.2216382 dblp:conf/miip/LuengoBF16 fatcat:dgurdkskrza4piptheukmjtk24

Small-scale, semi-automated purification of eukaryotic proteins for structure determination

Ronnie O. Frederick, Lai Bergeman, Paul G. Blommel, Lucas J. Bailey, Jason G. McCoy, Jikui Song, Louise Meske, Craig A. Bingman, Megan Riters, Nicholas A. Dillon, John Kunert, Jung Whan Yoon (+8 others)
2007 Journal of Structural and Functional Genomics  
This approach provides an efficient way to carry out several key target screening steps that are essential for successful operation of proteomics pipelines with eukaryotic proteins: examination of total  ...  The yield information obtained from a successful automated purification from 0.4 ml was used to inform the decision to scale-up for a second meso-scale (10-50 ml) cell growth and automated purification  ...  Vector pVP62 yields an MBP fusion that can undergo in vivo proteolysis to liberate a His8-tagged target protein.  ... 
doi:10.1007/s10969-007-9032-5 pmid:17985212 pmcid:PMC2668602 fatcat:2eogfpjfzfearmko2j2ra2bcoa

Driving integrative structural modeling with serial capture affinity purification

Xingyu Liu, Ying Zhang, Zhihui Wen, Yan Hao, Charles A. S. Banks, Jeffrey J. Lange, Brian D. Slaughter, Jay R. Unruh, Laurence Florens, Susan M. Abmayr, Jerry L. Workman, Michael P. Washburn
2020 Proceedings of the National Academy of Sciences of the United States of America  
Our approach combines serial affinity purification, live cell imaging, and cross-linking mass spectrometry to build integrative structural models of protein complexes.  ...  Here we describe serial capture affinity purification (SCAP), in which two separate proteins are tagged with either the HaloTag or the SNAP-tag, permitting a multistep affinity enrichment of specific protein  ...  GM112639, to M.P.W.).  ... 
doi:10.1073/pnas.2007931117 pmid:33257578 fatcat:5hlqxgela5bkviwp3hydis2ozi

Comparison of a semi-automatic annotation tool and a natural language processing application for the generation of clinical statement entries

C.-H. Lin, N.-Y. Wu, W.-S. Lai, D.-M. Liou
2014 JAMIA Journal of the American Medical Informatics Association  
The first approach was a semi-automatic annotation pipeline (SAAP), the second was a natural language processing (NLP) pipeline, and the third merged the above two pipelines.  ...  This study aimed to use a novel approach for the generation of entry-level interoperable clinical documents.  ...  Taking HL7 CDA as the example, we developed a pipeline involving an auto-complete technique and also merged this pipeline with the NLP pipeline.  ... 
doi:10.1136/amiajnl-2014-002991 pmid:25332357 pmcid:PMC4433379 fatcat:crr6sxpgtzfzvl2frrtg6yweie

A New Approach for Video Concept Detection Based on User Comments

Maha Thabet, Mehdi Ellouze, Mourad Zaied
2021 Journal of Information and Communication Technology  
Video concept detection means describing a video with semantic concepts that correspond to the content of the video. The concepts help to retrieve video quickly.  ...  The results demonstrated that the proposed approach was able to extract accurate data and concepts from the comments that could be used to ease the retrieval of videos.  ...  ACKNOWLEDGMENT The authors would like to acknowledge the financial support of this work by grants from the General Direction of Scientific Research and Technological Renovation (DGRSRT), Tunisia, under  ... 
doi:10.32890/jict2021.20.4.7 fatcat:bybjyh2q7fb6tg7t5guuipnz2q

Structural mechanism for bi-directional actin crosslinking by T-plastin [article]

Lin Mei, Matthew J Reynolds, Damien Garbett, Rui Gong, Tobias Meyer, Gregory M Alushin
2021 bioRxiv   pre-print
Here, we introduce a machine-learning enabled cryo-EM pipeline for visualizing active crosslinkers, which we use to analyze human T-plastin, a member of the evolutionarily ancient plastin/fimbrin family  ...  We define a sequential bundling mechanism which enables T-plastin to bridge filaments in both parallel and anti-parallel orientations.  ...  Polished particles were subjected to a final 3D auto-refinement, which yielded a map assessed at 4.4 Å resolution.  ... 
doi:10.1101/2021.12.07.471696 fatcat:4xdd37ukwzgqthhxbdsodmg7c4

Alignment of 3D point clouds to overhead images

Ryan S. Kaminsky, Noah Snavely, Steven M. Seitz, Richard Szeliski
2009 2009 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops  
We also present an application of our technique, which uses a labeled overhead image to automatically tag the input photo collection with textual information.  ...  We address the problem of automatically aligning structure-from-motion reconstructions to overhead images, such as satellite images, maps and floor plans, generated from an orthographic camera.  ...  Alignment Pipeline When GPS tags are available for an outdoor image collection, then the entire pipeline, including downloading the satellite image, is completely automated.  ... 
doi:10.1109/cvprw.2009.5204180 dblp:conf/cvpr/KaminskySSS09 fatcat:2gtp5ejayzggxiv7bp3a2svef4

Alignment of 3D point clouds to overhead images

R.S. Kaminsky, N. Snavely, S.M. Seitz, R. Szeliski
2009 2009 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops  
We also present an application of our technique, which uses a labeled overhead image to automatically tag the input photo collection with textual information.  ...  We address the problem of automatically aligning structure-from-motion reconstructions to overhead images, such as satellite images, maps and floor plans, generated from an orthographic camera.  ...  Alignment Pipeline When GPS tags are available for an outdoor image collection, then the entire pipeline, including downloading the satellite image, is completely automated.  ... 
doi:10.1109/cvpr.2009.5204180 fatcat:73757qdnrzehdgaxtqwwnh7ppu
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