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Automatic Image Annotation with Cooperation of Concept-Specific and Universal Visual Vocabularies [chapter]

Yanjie Wang, Xiabi Liu, Yunde Jia
2010 Lecture Notes in Computer Science  
This paper proposes an automatic image annotation method based on concept-specific image representation and discriminative learning.  ...  Firstly, the concept-specific visual vocabularies are generated by assuming that localized features from the images with a specific concept are of the distribution of Gaussian Mixture Model (GMM).  ...  Acknowledgements This work was partially supported by National Natural Science Foundation of China (Grant No. 60973059 and Grant No. 90920009).  ... 
doi:10.1007/978-3-642-11301-7_28 fatcat:pwzfni3scfebvauxsvneevy55u

Dialogue-Based Information Retrieval from Images [chapter]

Pavel Hamřík, Ivan Kopeček, Radek Ošlejšek, Jaromír Plhák
2014 Lecture Notes in Computer Science  
This paper deals with the utilization of formal ontologies for the process of image annotation and dialogue-based investigation in the context of assistive technologies.  ...  Our concept of communicative images aims to provide graphical information by means of dialogue interaction, which is suitable for people with various disabilities.  ...  This module cooperates with the SVG module to get annotation data stored directly in the image and to associate them with the available knowledge database.  ... 
doi:10.1007/978-3-319-08596-8_13 fatcat:zergtnab5baaflbtvfnk2xbh2e

D15.1 – Mid-term interim report on ARIADNEplus services

Marberg Johan Fihn
2021 Zenodo  
Revision of the service and implementation of new components have started. A prototype of an image annotatio [...]  ...  The work package consists of several individual tasks and subtasks with the overall goal to develop and provide useful services to archaeologists.  ...  , in cooperation with CRS4 Visual Computing, Department of Computer Science, Verona, and KU Leuven • an extension of IIIF protocols to 3D content and 3D annotations.  ... 
doi:10.5281/zenodo.4926535 fatcat:ypeskr2xrjbgtafk56cpfrvvyy

Image Retrieval: Modelling Keywords via Low-level Features

Zenonas Theodosiou
2015 ELCVIA Electronic Letters on Computer Vision and Image Analysis  
The prospective reader of this thesis would be equipped with the ability to identify the key issues in automatic image annotation and would be triggered to think ahead to propose alternative solutions.  ...  It discusses and presents several studies referring to: (a) low-level feature extraction and selection for the task of automatic annotation of images, (b) training algorithms that can be utilized for keyword  ...  The principal idea of automatic image annotation methods is to train semantic concept models from large number of image samples and use the models to label new ones.  ... 
doi:10.5565/rev/elcvia.725 fatcat:zbpgc3jstnd5nf5ltcly3rdbhi

Semantic Annotation: The Mainstay of Semantic Web

Thabet Slimani
2013 International Journal of Computer Applications Technology and Research  
This paper introduces the Semantic Web and its vision (stack layers) with regard to some concept definitions that helps the understanding of semantic annotation.  ...  Given that semantic Web realization is based on the critical mass of metadata accessibility and the representation of data with formal knowledge, it needs to generate metadata that is specific, easy to  ...  It is a fully automatic and unsupervised tool for semantic annotation which works with its own meta-ontology.  Melita [20] (University of Sheffield): Melita is a tool developed to define and develop  ... 
doi:10.7753/ijcatr0206.1025 fatcat:ef366mdcdzbc3j3c5pheiubtou

Semantic Concept Co-Occurrence Patterns for Image Annotation and Retrieval

Linan Feng, Bir Bhanu
2016 IEEE Transactions on Pattern Analysis and Machine Intelligence  
ACKNOWLEDGMENTS This material is based upon work supported by the National Science Foundation under Grant No. 0905671 and 1552454.  ...  Applications and Evaluation Criteria 4.3.1 Application 1: Automatic Image Annotation The goal is to predict concept occurrences for an image from a given concept vocabulary.  ...  The effectiveness of the proposed framework is evaluated experimentally in 4 for automatic image annotation and concept-based image retrieval applications.  ... 
doi:10.1109/tpami.2015.2469281 pmid:26959678 fatcat:enu2lsrmzfgsfp4vvf5hj3d27y

A framework to enable the semantic inferencing and querying of multimedia content

Jane Hunter, Suzanne Little
2005 International Journal of Web Engineering and Technology  
Within this paper we describe the application of semantic web technologies to enable the generation of high-level, domain-specific, semantic descriptions of multimedia content from low-level, automatically-extracted  ...  Suzanne Little is a PhD student at the School of Information Technology and Electrical Engineering at the University of Queensland.  ...  Thanks also to staff from the Centre for Microscopy and Microanalysis at the University of Queensland for their feedback and the images used in this project.  ... 
doi:10.1504/ijwet.2005.008487 fatcat:inqal7n72rcknh5ry76rpd2ez4

Global agricultural concept space: lightweight semantics for pragmatic interoperability

Thomas Baker, Brandon Whitehead, Ruthie Musker, Johannes Keizer
2019 npj Science of Food  
Progress on research and innovation in food technology depends increasingly on the use of structured vocabularies-concept schemes, thesauri, and ontologies-for discovering and re-using a diversity of data  ...  The minimal semantics of GACS allows terms defined with more precision in ontologies, or less precision in controlled vocabularies, to be linked together making it easier to discover and integrate semantically  ...  for International Cooperation), and Switzerland (Swiss Agency for Development and Cooperation).  ... 
doi:10.1038/s41538-019-0048-6 pmid:31552293 pmcid:PMC6751214 fatcat:flhazm5znnfd7oszycwti67qsq

From Words to Images Through Legal Visualization [chapter]

Arianna Rossi, Monica Palmirani
2018 Lecture Notes in Computer Science  
In some experiments, visual communication has been introduced in legal documents to make their meaning clearer and more intelligible, whilst visualizations have also been automatically generated from semantically-enriched  ...  One of the common characteristics of legal documents is the absolute preponderance of text and their specific domain language, whose complexity can result in impenetrability for those that have no legal  ...  They draw best practices from human-centered design and they usually cooperate with legal experts and other individuals with diverse backgrounds [5] , [10] to graphically elaborate concepts with the  ... 
doi:10.1007/978-3-030-00178-0_5 fatcat:yzcppyl2ebat7ckh4e2wuufanm

A cognitive virtual microscopic framework for knowlege-based exploration of large microscopic images in breast cancer histopathology

L. Roux, A. Tutac, N. Lomenie, D. Balensi, D. Racoceanu, A. Veillard, Wee-Kheng Leow, J. Klossa, T.C. Putti
2009 2009 Annual International Conference of the IEEE Engineering in Medicine and Biology Society  
Current virtual microscope systems are mainly an emulation of real microscopes with annotation and some image analysis capabilities.  ...  pathologists with a robust and traceable second opinion.  ...  PURPOSE The cognitive microscope system integrates dynamic capture, representation and use of specific visual medical knowledge, in order to setup the bases of a knowledge-driven medical imaging.  ... 
doi:10.1109/iembs.2009.5334739 pmid:19965006 fatcat:3m5ydge4nrfr3kd6rnia456teq

Interactive multi-user video retrieval systems

Marco Bertini, Alberto Del Bimbo, Andrea Ferracani, Lea Landucci, Daniele Pezzatini
2011 Multimedia tools and applications  
Both systems use the same backend, based on a service oriented architecture (SOA) that provides services for automatic and manual annotation, and an ontology-based video search and browsing engine.  ...  responsiveness and interactivity typical of a desktop application.  ...  Audio-visual concepts are automatically annotated, using the IM3I automatic annotation engine, or manually annotated using the Pan web application (Fig. 3) .  ... 
doi:10.1007/s11042-011-0888-9 fatcat:jjujazyudbechkzojnkfp3i34e

Ontologies in CLARIAH: Towards Interoperability in History, Language and Media [article]

Albert Meroño-Peñuela, Victor de Boer, Marieke van Erp, Richard Zijdeman, Rick Mourits, Willem Melder, Auke Rijpma, Ruben Schalk
2020 arXiv   pre-print
One of the most important goals of digital humanities is to provide researchers with data and tools for new research questions, either by increasing the scale of scholarly studies, linking existing databases  ...  shared vocabularies; and Reusable, through adequate licensing and permissions.  ...  The W3C standards CSV on the Web [54] and RDF Data Cube [10] are better suited for historical tabular and multidimensional data; albeit agnostic with respect to specific domain concepts.  ... 
arXiv:2004.02845v2 fatcat:ohruemenf5bjjg5npeqikbxb3u

Report on the 10th European Networked Knowledge Organization Systems/Services (NKOS) Workshop

Philipp Mayr
2011 D-Lib Magazine  
The suggestion of the right meaningful concepts is a mission critical phase for searchers in modern DL. 5. Meaningful Concept Display and Meaningful Visualization of KOS. 6.  ...  They found that 15% (with degree=0) of authors had no co-authorship with others and 53% of them had a maximum of 3 cooperations with other authors. 32% had at least 4 co-authors for all of their papers  ... 
doi:10.1045/november2011-mayr fatcat:r7lmlvgwuzcerfqp7fv6wjwnhe

Human-Machine Cooperation in Large-Scale Multimedia Retrieval: A Survey

Kimiaki Shirahama, Marcin Grzegorzek, Bipin Indurkhya
2015 Journal of Problem Solving  
Large-Scale Multimedia Retrieval (LSMR) is the task to fast analyze a large amount of multimedia data like images or videos and accurately find the ones relevant to a certain semantic meaning.  ...  In particular, we present three approaches to human-machine cooperation (cognitive, ontological, and adaptive), which are attributed to cognitive science, ontology engineering, and metacognition, respectively  ...  The first task is the question of how to define a vocabulary of concepts.  ... 
doi:10.7771/1932-6246.1173 fatcat:hrjbuq4s4bbo7p5pmfrd6f3bva

A language to analyze, describe, and explore collections of visual art

Hermann Pflüger
2021 Visual Computing for Industry, Biomedicine, and Art  
LadeCA combines human interpretation and automatic analyses of images, allowing users to assess collections of visual art without viewing every image in them.  ...  This paper focuses on the lexical base of LadeCA. It also outlines how collections of visual art can be analyzed, described, and explored using a LadeCA vocabulary.  ...  Acknowledgements I would like to thank all participants of the user study and the Albertina Vienna for providing their historical prints.  ... 
doi:10.1186/s42492-021-00071-3 pmid:33646448 fatcat:4g7duq3rl5hkhcshg5k4shy5si
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