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Efficient semantically-aware annotation of images

Dimitris K. Iakovidis, Christos V. Smailis
2011 2011 IEEE International Conference on Imaging Systems and Techniques  
This tool has a simple graphical user interface through which the average user can use alternatively two graphic annotation protocols and combine them with a versatile snake-based framework for semi-automatic  ...  In this paper we present a novel software tool for efficient annotation of images and image sequences.  ...  Semi-automatic image annotation A novel semi-automatic approach, based on snakes [15] - [16] , is proposed for the enhancement of the efficiency of image annotation.  ... 
doi:10.1109/ist.2011.5962190 fatcat:vb7cbxt52fdkbllm2lkfbedn5i

Semantic Annotation on Medical Records

Samir Kumar Bandyopadhyay
2017 Advances in Biotechnology & Microbiology  
In this paper an outline of method on semantic annotation on medical records is proposed.  ...  For searching unstructured information in patient medical records semantic annotated text is incorporated in patient data.  ...  Semi-automatic annotation In this case an image is semantically annotated by keywords selected automatically from a pre-defined set. It is a two-step process.  ... 
doi:10.19080/aibm.2017.02.555600 fatcat:46tyy77px5cs3dl2gbeh262vwu

An Image Labeling Tool and Agricultural Dataset for Deep Learning [article]

Patrick Wspanialy, Justin Brooks, Medhat Moussa
2020 arXiv   pre-print
The annotation tool introduces novel methods for labeling with a variety of manual, semi-automatic, and fully-automatic tools.  ...  Images were annotated with segmentations for foreground leaf, fruit, and stem instances, and diseased leaf area. Labels were in an extended COCO format.  ...  CONCLUSION In this paper we introduced a labeling tool multiple manual, semi-automatic, and fully automatic annotation techniques, a new dataset format for use in agricultural application, and an initial  ... 
arXiv:2004.03351v1 fatcat:hylihwe3ljdg3edtvdgz5jvjju

Automatic Dense Annotation for Monocular 3D Scene Understanding

Md Alimoor Reza, Kai Chen, Akshay Naik, David J. Crandall, Soon-Heung Jung
2020 IEEE Access  
Second, we propose a semi-automatic technique for dense annotation of 3d geometry, and in particular, the 3d poses of planes in indoor scenes.  ...  In this paper, we present two techniques for significantly reducing the manual annotation effort involved in collecting large training datasets.  ...  A summary of the steps for finding the automatic annotation for an image is shown in Figure 4 . IV.  ... 
doi:10.1109/access.2020.2984745 fatcat:b6njvki67bbr7efdglfohyi3gq

Toward High-Throughput Artificial Intelligence-Based Segmentation in Oncological PET Imaging [article]

Fereshteh Yousefirizi, Abhinav K. Jha, Julia Brosch-Lenz, Babak Saboury, Arman Rahmim
2021 arXiv   pre-print
Artificial intelligence (AI) techniques for image-based segmentation have garnered much attention in recent years.  ...  To cope with the limited access to annotated data needed in supervised AI methods, given tedious and prone-to-error manual delineations, semi-supervised and unsupervised AI techniques have also been explored  ...  Ghassan Hamarneh and Kumar Abhishek from Simon Fraser University for very valuable discussions.  ... 
arXiv:2107.13661v4 fatcat:2cbb2vhaezfpxirbfl77i4pyjq

Semi-automatic Semantic Annotation of Images Using Machine Learning Techniques [chapter]

Oge Marques, Nitish Barman
2003 Lecture Notes in Computer Science  
Our key contribution is the use of machine learning algorithms for user-assisted, semi-automatic image annotation, in such a way that the knowledge of previously annotated images -both at metadata and  ...  Since images are an essential component of the Web, this work focuses on an intelligent approach to semantic annotation of images.  ...  The authors want to thank Dragutin Petkovic for his excellent comments and suggestions.  ... 
doi:10.1007/978-3-540-39718-2_35 fatcat:boeiiztfmrf6vickp4glrk5cga

A Literature Research on Machine Learning Techniques used for Training Annotated Corpus

2019 International journal of recent technology and engineering  
The results of this review indicate that SVM is the algorithm used for all three annotation methods: manual, automatic and semi-automatic annotation, with a significant accuracy above 80%.  ...  The result of this survey will be referred by the authors as the basis for subsequent research that will be conducted, especially in the semi-automatic annotation method.  ...  The result of this study will be used as the basis for the use of algorithms in subsequent research that will be conducted, especially in the semi-automatic annotation method of the BahasaMelayu and Bahasa  ... 
doi:10.35940/ijrte.b1063.0882s819 fatcat:muibxiveqffgxp3zobarh27kru

A Survey: Techniques of an Efficient Search Annotation based on Web Content Mining

Sobana. E, Muthusankar.D Muthusankar.D
2014 International Journal of Computer Applications  
Nowadays, various web content mining techniques are developed to mine the information and serve people in a simple way: These techniques focuses on the discovery/retrieval of the useful information from  ...  Due to the overloaded of information in web, the information extraction is not effectively based on user needs.  ...  Therefore, the semi-supervised inductive algorithm is mostly used for web and personal image databases.  ... 
doi:10.5120/18181-9072 fatcat:6vppuxoy3zb35do7mawyeabvni

Semantic Image Browser: Bridging Information Visualization with Automated Intelligent Image Analysis

Jing Yang, Jianping Fan, Daniel Hubball, Yuli Gao, Hangzai Luo, William Ribarsky, Matthew Ward
2006 2006 IEEE Symposium On Visual Analytics And Technology  
Recent semantic image analysis techniques, which automatically detect high level semantic contents of images for annotation, are promising solutions toward this problem.  ...  However, few efforts have been made to convey the annotation results to users in an intuitive manner to enable effective image browsing and retrieval.  ...  In most of them, limited annotations of images, such as time, location, and events at which the photos were taken, were collected through manual annotation and simple semi-automatic annotation techniques  ... 
doi:10.1109/vast.2006.261425 dblp:conf/ieeevast/YangFHGLRW06 fatcat:xn5w62w4hzauth6mqntovpnmae

Learning to Segment the Lung Volume from CT Scans Based on Semi-Automatic Ground-Truth

Patrick Sousa, Adrian Galdran, Pedro Costa, Aurelio Campilho
2019 2019 IEEE 16th International Symposium on Biomedical Imaging (ISBI 2019)  
In this paper, we propose to train a 3D Convolutional Neural Network to solve this task based on semi-automatically generated annotations.  ...  Deep neural networks can be an effective mechanism in order to model the spatial relationship between different lung voxels.  ...  Regional Operational Programme (NORTE 2020), under the PORTUGAL 2020 Partnership Agreement, and the European Regional Development Fund (ERDF), within the project "NanoSTIMA: Macro-to-Nano Human Sensing: Towards  ... 
doi:10.1109/isbi.2019.8759309 dblp:conf/isbi/SousaG0C19 fatcat:csdkig3xcrhvdkmog3zajgdzfy

$$\textit{TexT}$$ TexT - Text Extractor Tool for Handwritten Document Transcription and Annotation [chapter]

Anders Hast, Per Cullhed, Ekta Vats
2017 Communications in Computer and Information Science  
This paper presents a framework for semi-automatic transcription of large-scale historical handwritten documents and proposes a simple user-friendly text extractor tool, TexT for transcription.  ...  The effectiveness of TexT is demonstrated on an archival manuscript collection from well-known publicly available dataset.  ...  WebGT [31] provides several semi-automatic tools for annotating degraded documents and has gained importance recently.  ... 
doi:10.1007/978-3-319-73165-0_8 fatcat:sngoivcslvf55etwwf2fmywpge

Automatic DNA replication tract measurement to assess replication and repair dynamics at the single molecule level

Longjie Li, Arun Mouli Kolinjivadi, Kok Haur Ong, David Young, Gabriel Pik Liang Marini, Sock Hoai Chan, Siao Ting Chong, Ee Ling Chew, Haoda Lu, Laurent Gole, Weimiao Yu, Joanne Ngeow (+1 others)
2022 Bioinformatics  
With the graphical interface we developed, user can conduct semi-automatic analyses which benefits from the advantages of both automatic and manual processes to improve workflow efficiency without compromising  ...  We recognise that core improvements can be made to the GUI to allow for direct interaction with automatic results to preserve accuracy as well as enhance the versatility of automatic DNA fibre detection  ...  For the semi-automatic analyses, two experienced users were asked to manually annotate a substantial amount of fibres for two groups of images within the software using the annotation tool and perform  ... 
doi:10.1093/bioinformatics/btac533 pmid:35881697 fatcat:isiiq56mbnbdbpkxo462vtqdwy

A semi-automatic groundtruthing tool for mobile-captured document segmentation

Joseph Chazalon, Marcal Rusinol, Jean-Marc Ogier, Josep Llados
2015 2015 13th International Conference on Document Analysis and Recognition (ICDAR)  
We introduce and describe a simple, robust and fast technique based on color markers which enables a semi-automated annotation of page corners. We also detail a technique for marker removal.  ...  This paper presents a novel way to generate groundtruth data for the evaluation of mobile document capture systems, focusing on the first stage of the image processing pipeline involved: document object  ...  For the first semi-automatic step, half an hour was sufficient to process all videos on a modern laptop with 8 cores and 8 GB of RAM.  ... 
doi:10.1109/icdar.2015.7333836 dblp:conf/icdar/ChazalonROL15 fatcat:my5r5dqr3zfn3oexcumfts4dq4


Benjamin N. Lee, WenYen Chen, Edward Y. Chang
2006 Proceedings of the 14th annual ACM international conference on Multimedia - MULTIMEDIA '06  
In this work, we present Fotofiti(FF), a web-based personal photo organizer with automatic image annotation, event management and social network integration.  ...  We describe our technique for real-time online semantic annotation of user photos. Additionally, a landmark recognition system which utilizes local features is discussed.  ...  Semi-automatic classification and organization using perceptual features (e.g., color, edges, and so forth) [1] , [2] extracted from photos did not prove overly effective.  ... 
doi:10.1145/1180639.1180737 dblp:conf/mm/LeeCC06 fatcat:s73yicbgdjbpfbceqvjmbj4fja

Collaborative Semantic Annotation of Images : Ontology-Based Model

2013 Signal & Image Processing An International Journal  
However, an image can get many associated semantics because annotators can interpret it differently.  ...  In the quest for models that could help to represent the meaning of images, some approaches have used contextual knowledge by building semantic hierarchies.  ...  Some researchers have looked towards automatic annotation. They propose a model that assigns automatically the terms to the images.  ... 
doi:10.5121/sipij.2013.4606 fatcat:kr3b4last5eyjcho65yhzdawom
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