Annotating historical archives of images

Proceedings of the ACM International Conference on Digital Libraries

Volumn , Issue , 2008, Pages 341-350

  Wang, Xiaoyue ^a   Ye, Lexiang ^a   Keogh, Eamonn ^a   Shelton, Christian ^a  

^a University of California Riverside   (United States)

Author keywords

Historical digital libraries; Historical manuscripts; Image annotation; Information extraction

Indexed keywords

AUTOMATIC ANNOTATIONS; CULTURAL ARTIFACTS; DIGITAL FORMATS; DISTANCE MEASURES; HISTORICAL ARCHIVES; HISTORICAL DIGITAL LIBRARIES; HISTORICAL MANUSCRIPTS; IMAGE ANNOTATION; INFORMATION EXTRACTION; META-TAGS; NATURAL HISTORY; TRAINING SETS;

IMAGE ANALYSIS; INFORMATION ANALYSIS; LIBRARIES;

DIGITAL LIBRARIES;

EID: 57649213527     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1378889.1378948     Document Type: Conference Paper

References (26)

1. T. Adamek, N. E. O'Connor, and A. F. Smeaton. Word matching using single closed contours for indexing handwritten historical documents. IJDAR 9(2-4): 153-165 (2007).
2. M. Agosti, N. Ferro, and N. Orio. Annotations as a Tool for Disclosing Hidden Relationships Between Illuminated Manuscripts. AI*IA 2007: 662-673.
3. A. Antonacopoulos, and A. C. Downton. Special issue on the analysis of historical documents. IJDAR 9(2-4): 75-77 (2007).
4. X. Chen, and T-J. Cham. Learning Feature Distance Measures for Image Correspondences. CVPR (2) 2005: 560-567.
5. S. F. Denton (1890). Report of the Fish and Game commission of The State of New York. Seventh Report.
6. C. D'Orbigny ( 1849). Dictionnaire Universel d'Histoire Naturelle. Renard & Martinet, Paris.
7. A. Ernst-Gerlach, N. Fuhr (2007) Retrieval in text collections with historic spelling using linguistic and spelling variants. JCDL 2007: 333-341
8. P. S. Fres (1991). The Illustrated Encyclopedia of the Butterfly World, by, 1991. Tiger Books International PLC, London or 1989, Crescent Books, Crown Publishers Inc, NY.
9. P. Gregory. (1958). Guide to the identification of certain American Indian projectile points. The Norman Society. Special bulletin no. 4 of the Oklahoma Anthropological Society.
10. M. Herwig (2007). GOOGLE'S TOTAL LIBRARY: Putting the World's Books on the Web. http://www.spiegel.de/international/.
11. T. Joachims. Making large-scale support vector machine learning practical. In Advances in Kernel Methods: Support Vector Machines. MIT Press, Cambridge, MA, 1998.
12. K. Kelly (2006). Scan This Book! N.Y. TIMES, May 14, § 6 (Magazine), at 42.
13. E. Keogh, L. Wei, X. Xi, S. H. Lee, and M. Vlachos. LB-Keogh Supports Exact Indexing of Shapes under Rotation Invariance with Arbitrary Representations and Distance Measures. In Proceedings of Very Large Databases (VLDB '06), 2006, pp 882-893.
14. S. Mahamud (2002). Discriminative distance measures for object detection. Doctoral dissertation, CMU. www-2.cs.cmu.edu/mahamud/recognition/ recognition.html.
15. T. Moffett [Muffet] (1658). The Theatre of Insects; or, Lesser living Creatures, as Bees, Flies, Caterpillars, Spiders, Worms, etc., a most Elaborate Work in vol. 2 of Edward Topsell, The History of Four-footed Beasts and Serpents: Describing at Large Their True and Lively Figure, their several Names, Conditions, Kinds, Virtues (both Natural and Medicinal) Countries of their Breed, their Love and Hatred to Mankind. Collected out of the writings of Conradus Gesner and other authors, by Edward Topsell. Whereunto is now added, The Theater of Insects.... by T. Muffet, 2 vols. London: printed by E. Cotes, for G. Sawbridge, T. Williams, and T. Johnson, 1658.
16. G. P. Nguyen, M. Worring, and A. W. M. Smeulders. Interactive search by direct manipulation of dissimilarity space. IEEE Transactions on Multimedia. VOL. 9, NO. 7, Nov 2007.
17. C. B. Richard Ng, G. Lu, and D. Zhang. Performance Study of Gabor Filters and Rotation Invariant Gabor Filters. MMM 2005:158-162.
18. A. Seba (1734). Locupletissimi rerum naturalium thesauri accurata descriptio Naaukeurige beschryving van het schatryke kabinet der voornaamste seldzaamheden der natuur. Amsterdam, 1734-1765. 4 vols. 2°. - 394 B 26-29, vol. 3, plate XXXV.
19. W. Smith. (1853) British Diatomaceae. Volume 1. John Van Voorst, London: xxxiv+89pp.
20. S. Squire. (1998) Learning a Similarity-Based Distance Measure for Image Database Organization from Human Partitionings of an Image Set. IEEE Workshop on Applications of Computer Vision (WACV'98), pp.88-93, 1998.
21. Varde, A., Rundensteiner, E., Javidi, G., Sheybani, E. and Liang J. (2007). Learning the Relative Importance of Features in Image Data. In Proceedings of IEEE ICDE's DBRank-07, Istanbul, Turkey, April 2007, pp. 237 - 244
22. R. C. Veltkamp, and L. J. Latecki. Properties and Performance of Shape Similarity Measures. In Proceedings of IFCS 2006 Conference: Data Science and Classification. July, 2006.
23. X. Wang, L. Ye, E. Keogh, and C. Shelton (2008). www.cs.ucr.edu/~xwang/ historical-shapes/index.html.
24. www.entomo.pl/lepidoptera/galeria-motyli/motyle-nocne.htm Visited on 26-Oct-07.
25. www.temple-of-flora.com/natural-history.htm Visited on 28-Oct-07.
26. www.texasarrowheads.com/ Visited on 15-Jan-08.