VizIR - A framework for visual information retrieval

Journal of Visual Languages and Computing

Volumn 14, Issue 5, 2003, Pages 443-469

  Eidenberger, Horst ^a   Breiteneder, Christian ^a  

^a VIENNA UNIVERSITY OF TECHNOLOGY   (Austria)

Author keywords

Content based image retrieval; Content based video retrieval; Media processing; Visual information retrieval

Indexed keywords

EID: 0042833272     PISSN: 1045926X     EISSN: None     Source Type: Journal    
DOI: 10.1016/S1045-926X(03)00035-1     Document Type: Article

References (45)

1. S. Santini, R. Jain, Beyond query by example. ACM Multimedia, (1998) 345-350.
2. S. Santini, R. Jain, Similarity Measures, IEEE Transactions on Pattern Analysis and Machine Intelligence 21 (1999) 871-883.
3. J. Barros, J. French, W. Martin, Using the triangle inequality to reduce the number of comparisons required for similarity based retrieval, in: Proceedings of SPIE Storage and Retrieval for Image and Video Databases, San Jose, USA, 1996, pp. 392-403.
4. Benchathlon Network Website. http://www.benchathlon.net (last visited: 2003-03-20).
5. TREC video retrieval competition website. http://www-nlpir.nist.gov/projects/trecvid/ (last visited: 2003-03-20).
6. H. Eidenberger, C. Breiteneder A Framework for Visual Information Retrieval, in: Proceedings of Visual Information Systems Conference, HSinChu, Taiwan, 2002, pp. 105-116.
7. H. Eidenberger, C. Breiteneder A Framework for user interfaced design in Visual Information Retrieval, in: Proceedings of IEEE Multimedia Software Engineering Symposium, Newport Beach, USA, 2002, pp. 255-262 (published on CD).
8. Multimedia Retrieval Markup Language Website. http://www.mrml.net (last visited: 2003-03-20).
9. M. Flickner, H. Sawhney, W. Niblack, J. Ashley, Q. Huang, B. Dom, M. Gorkani, J. Hafner, D. Lee, D. Petkovic, D. Steele, P. Yanker, Query by image and video content: the QBIC system, IEEE Computer 28 (9) (1995) 23-31.
10. J. Bach, C. Fuller, A. Gupta, A. Hampapur, B. Horowitz, R. Humphrey, R. Jain, C. Shu, The Virage image search engine: an open framework for image management, in: Proceedings of SPIE Storage and Retrieval for Image and Video Databases, San Jose, USA, 1996, pp. 76-87.
11. J.R. Smith, S. Chang, VisualSEEk: a fully automated content-based image query system, in: Proceedings of ACM Multimedia Conference, Boston, USA, 1996, pp. 87-98.
12. A. Pentland, R.W. Picard, S. Sclaroff, Photobook: tools for content-based manipulation of Image databases, in: Proceedings of SPIE Storage & Retrieval Image & Video Databases, San Jose, USA, 1994, pp. 34-47.
13. M. Ortega, R. Yong, K. Chakrabarti, K. Porkaew, S. Mehrotra, T.S. Huang, Supporting ranked Boolean similarity queries in MARS, IEEE Transactions on Knowledge and Data Engineering 10 (6) (1998) 905-925.
14. S. Santini, R. Jain, Integrated browsing and querying for image databases, IEEE Multimedia 3 (7) (2000) 26-39.
15. GNU Image Finding Tool Website. http://www.gnu.org/software/gift/ (last visited: 2003-03-20).
16. E. Oomoto, K. Tanaka, OVID: design and implementation of a video-object database system, IEEE Transactions on Knowledge and Data Engineering 5 (4) (1993) 629-643.
17. J.K. Wu, C. Lam, B.M. Mehtre, Y.J. Gao, A. Desai Narasimhalu, Content-based retrieval for trademark registration, Multimedia Tools and Applications 3 (3) (1996) 245-267.
18. T. Chua, L. Ruan, A Video retrieval and sequencing system, ACM Transactions on Information Systems 13 (4) (1995) 373-407.
19. MPEG-7 Documents Website. http://mpeg.telecomitalialab.com/working_documents.htm#MPEG-7 (last visited: 2003-03-20).
20. C. Breiteneder, H. Eidenberger, Automatic query generation for content-based image retrieval, in: Proceedings of IEEE Multimedia Conference, New York, USA, 2000, pp. 705-708.
21. G. Sheikholeslami W. Chang, A. Zhang, Semantic clustering and querying on heterogeneous features for visual data, in: Proceedings of ACM Multimedia Conference, Bristol, UK, 1998, pp. 3-12.
22. M. Nakazato, L. Manola, T.S. Huang, ImageGrouper: Search, Annotate and organize images by groups, in: Proceedings of Visual Information Systems Conference, HSinChu, Taiwan, 2002, pp. 129-142.
23. M. Tavanti, M. Lind, 2D vs. 3D, implications on spatial memory, in: Proceedings IEEE Symposium on Information Visualization, San Diego, USA, 2001, pp. 139-145.
24. G. Robertson, M. Czerwinski, K. Larson, Data mountain: using spatial memory for document management, in: Proceedings of ACM Symposium on User Interface Software and Technology, San Francisco, USA, 1997, pp. 153-162.
25. D.A. Keim, Visual exploration of large data sets, Communications of the ACM 44 (8) (2001) 38-44.
26. B. Furht, S.W. Smoliar, H. Zhang, Video and image processing in multimedia systems, Kluwer Publishers, Boston, 1996.
27. C. Breiteneder, H. Eidenberger, Performance-optimized feature ordering for content-based image retrieval, in. Proceedings of European Signal Processing Conference, Tampere, Finland, 2000 (published on CD).
28. F. Liu, R.W. Picard, Periodicity, directionality, and randomness: wold features for image modeling and retrieval, IEEE Transactions on Pattern Analysis and Machine Intelligence 18 (7) (1996) 722-733.
29. M.F. Barnsley, L.P. Hurd, M.A. Gustavus, Fractal video compression, in: Proceedings of IEEE Computer Society International Conference, USA, 1992, pp. 41-42.
30. A. Lasfar, S. Mouline, D. Aboutajdine, H. Cherifi, Content-based retrieval in fractal coded image databases, in: Proceedings of Visual Information and Information Systems Conference, Amsterdam, Netherlands, 1999.
31. Y. Rui, T. Huang, S. Chang, Image retrieval: past, present and future, Journal of Visual Communication and Image Representation 10 (1997) 1-23.
32. Java Media Framework Website. http://java.sun.com/products/java-media/jmf/ (last visited: 2003-03-20).
33. S. Fels, K. Mase, Interactive Video Cubism, in: Proceedings of ACM International Conference on Information and Knowledge Management, Kansas City, USA, 1999, pp. 78-82.
34. GL4Java Website. http://www.jausoft.com/products/g14java/g14javai_main.html (last visited: 2003-03-20).
35. H. Eidenberger, C. Breiteneder, Visual similarity measurement with the feature contrast model, in: Proceedings of SPIE Storage and Retrieval for Media Databases, Santa Clara, USA, 2003 (published on CD).
36. H. Frei, S. Meienberg, P. Schauble, The perils of interpreting recall and precision, in: N. Fuhr (Ed.), Information Retrieval, Springer, Berlin, 1991, pp. 1-10.
37. J.S. Payne, L. Hepplewhite, T.J. Stonham, Evaluating content-based image retrieval techniques using perceptually based metrics, SPIE Transactions 3647 (1999) 122-133.
38. C.E. Osgood, G.J. Suci, B.H. Tannenbaum, The Measurement of Meaning. University of Illinois Press, Urbana, 1971.
39. H. Eidenberger, C. Breiteneder, An experimental study on the performance of visual information retrieval similarity models, in: Proceedings of IEEE Multimedia Signal Processing Workshop, St. Thomas, US Virgin Islands, 2002 (published on CD).
40. OpenML Website. http://www.khronos.org/ (last visited: 2003-03-20).
41. DirectX Website. http://msdn.microsoft.com/library/default.asp?url=/library/en-us/wcegmm/ htm/dshow.asp (last visited: 2003-03-20).
42. H. Eidenberger, C. Breiteneder, Semantic feature layers in content-based image retrieval: implementation of human world features, in: Proceedings of International Conference on Control, Automation, Robotics and Computer Vision, Singapore, 2002 (published on CD).
43. T. Kohonen, J. Hynninen, J. Kangas, J. Laaksonen, SOM-PAK: The Self-organizing Map Program Package, HUT Technical Report, Helsinki, Finland, 1995.
44. C. Nastar, M. Mitschke, C. Meilhac, Efficient Query Refinement for Image Retrieval, in: Proceedings of IEEE Conference on Computer Vision and Pattern Recognition, Santa Barbara, USA, 11498, pp. 547-552.
45. M. Wood, N. Campbell, B. Thomas, Iterative refinement by relevance feedback in content-based digital image retrieval, in: Proceedings of ACM Multimedia Conference, Bristol, UK, 1998, pp. 13-20.