Semi-automatic knowledge extraction, representation and context-sensitive intelligent retrieval of video content using collateral context modelling with scalable ontological networks

Signal Processing: Image Communication

Volumn 24, Issue 9, 2009, Pages 759-773

  Badii, Atta ^a   Lallah, Chattun ^a   Zhu, Meng ^a   Crouch, Michael ^a  

^a UNIVERSITY OF READING   (United Kingdom)

Author keywords

Automatic labelling; Knowledge representation; Natural language processing; Scalable ontologies; Topic Map technology

Indexed keywords

APPLICATION DOMAINS; AUTOMATIC LABELLING; CONTEXT-SENSITIVE; CREATIVE PROCESS; DIGITAL DATAS; DIGITAL MEDIA; DYNAMIC RETRIEVAL; EFFICIENT METHOD; FILM PRODUCTION; INDEXING AND RETRIEVAL; INFORMATION BASE; INTELLIGENT RETRIEVAL; INTELLIGENT WEB; KNOWLEDGE EXTRACTION; LARGE DATASETS; NATURAL LANGUAGE PROCESSING; ONTOLOGICAL ENGINEERING; ONTOLOGICAL NETWORKS; POST-PRODUCTION; SCALABLE ONTOLOGIES; SEMANTIC CONTENT; SEMANTIC METADATA; SEMI-AUTOMATICS; TOPIC MAP TECHNOLOGY; VIDEO CLIPS; VIDEO CONTENTS; WEB FILTERING;

ARCHITECTURAL DESIGN; AUTOMATIC INDEXING; COMPUTATIONAL LINGUISTICS; DIGITAL STORAGE; DYNAMIC ANALYSIS; EQUIPMENT TESTING; INDEXING (OF INFORMATION); KNOWLEDGE REPRESENTATION; LABELS; LINGUISTICS; METADATA; NATURAL LANGUAGE PROCESSING SYSTEMS; SEMANTICS; SPECIAL EFFECTS; VIDEO CAMERAS; VISUAL COMMUNICATION;

ONTOLOGY;

EID: 69249218911     PISSN: 09235965     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.image.2009.05.003     Document Type: Article

References (24)

1. AceMedia, Integrating knowledge, semantics and content for user-centred intelligent media services, Final Public Report, 〈http://www.acemedia.org/aceMedia/files/document/FinalFourYearReport31-01-2008.pdf〉, January 2008.
2. K. Ahmed, Topic maps for Repositories, 〈http://www.gca.org/papers/xmleurope2000/papers/s29-04.html〉, Accessed: May 2009.
3. K. Ahmed, An Introduction to Topic Maps, available at: 〈www.networkedplanet.com/technology/topicmaps/ intro.html〉, Accessed: September 2008.
4. Athanasisadis T., Mylonas P., Avrithis Y., and Kollias S. Semantic image segmentation and object labelling. IEEE Transactions on Circuits and Systems for Video Technology 17 3 (2007) 298-312
5. A. Badii, C. Lallah, O. Kolomiyets, M. Zhu, M. Crouch, Semi-automatic annotation and retrieval of visual content using the topic map technology, in: Proceedings of the First International Conference on Visualization, Imaging and Simulation, Romania, pp. 77-82, November 2008.
6. Boemie: 〈http://www.boemie.org/〉, Last accessed: April 2009.
7. Double Negative, 〈http://www.dneg.com〉, Accessed: September 2008.
8. P. Duygulu, K. Barnard, N. Freitas, D. Forsyth, Object recognition as machine translation: learning a lexicon for a fixed image vocabulary, in: seventh European Conference on Computer Vision, 2002, pp. 97-112.
9. L. Garshol, What are Topic Maps, 〈http://xml.com/pub/a/2002/09/11/topicmaps.html?page=1〉, Last accessed: April 2009.
10. W. Haas, G. Thallinger, P. Cano, C. Cullen, T. Burger, SALERO: Semantic audiovisual entertainment reusable objects, in: Proceedings of the First International Conference on Semantics and Digital Media Technology (SAMT), December 6-8, 2006, Athens, GR.
11. Haralick R.M., Shanmugam K., and Dinstein I. Texture features for image classification. IEEE Transactions on System Man and Cybernetics SMC 3 6 (1973) 610-621
12. ISO/IEC 13250:2000 Document description and processing languages-Topic Maps, International Organisation for Standardization ISO, Geneva, 2000.
13. K-Space D4.7 Technical Report on Ontology-based knowledge assisted multimedia analysis, 〈http://kspace.qmul.net:8080/kspace/deliverables/KS-D4.7-final.pdf〉, December 2007.
14. K-Space Newsletter, 〈http://kspace.qmul.net:8080/kspace/deliverables/newsletter-issue-6-electronic-jedno.pdf〉, December 2008.
15. Maillot N., Thonnat M., and Boucher A. Towards ontology based cognitive vision. Machine Vision Applications 16 1 (2004) 33-40
16. Open NLP, 〈http://opennlp.sourceforge.net〉, Accessed: May 2009.
17. S. Pepper, The TAO of Topic Maps: finding the way in the age of infoglut, 〈http://www.ontopia.net/topicmaps/materials/tao.html〉, Last accessed: April 2009.
18. Salero: 〈http://www.salero.eu/〉, Last accessed: April 2009.
19. The Foundry Plug-in: 〈http://www.thefoundry.co.uk/pkg_overview.aspx?ui=44213E51-76C0-4926-9D5D-3A8059449900〉, Last accessed May 2009.
20. J.P. Schober, T. Hermes, O. Herzog, Content-based image retrieval by ontology-based object recognition, in: Proceedings of the KI-2004 Workshop Applications Description. Logics (ADL-2004), Ulm, Germany, September 2004, pp. 61-67.
21. Smeulder A.W.M., Worring M., Anntini S., Gupta A., and Jain R. Content-based image retrieval at the end of the early years. IEEE Transactions on Pattern Analysis and Machine Intelligence 22 12 (2000)
22. Zhang Q., and Izquierdo E. Adaptive salient block-based image retrieval in multi-feature space. Signal Processing: Image Communication 22 (2007) 591-603
23. X.S. Zhou, S.T. Huang, Image retrieval: feature primitives, feature representation, and relevance feedback. IEEE Workshop on Content-Based Access of Image and Video Libraries, 2000.
24. Zhu M., and Badii A. Semantic-associative visual content labelling and retrieval: a multimodal approach. Signal processing: Image communication 22 6 (2007) 569-582