Abstract
This paper shows the use of a visual environment for retrieval of images on the basis of similarity in the context of anthropological research. The aim of the project is to correlate physiognomic data to craniological data through faces represented in artistic work found in Pompei and faces of actual inhabitants of the same area.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
Similar content being viewed by others
References
Tran THD, Roach NA, O’Kane PL and Thune M. Creating a Digital Radiographic Teaching File and Database Using a PC and Common Software. AJR 2000; 175:325–327.
Maldjian JA and Listerud J. Automated Teaching File and Slide Database for Digital Images. AJR 2000; 175:1249–1251.
Sinha U, Dai B, Johnson DB, Taira R, Dionisio J, Tashima G, Golamco M and Kangarloo H. Interactive software for generation and visualization of structured findings in radiology reports. AJR 2000; 175:609–612.
Narasimhalu AD. Multimedia databases. Multimedia Systems 1996; 4:226–249.
Schnep A, Du DHC, Ritenour ER. Building future medical education environment over ATM networks. Communications of the ACM. 1995; 38(2):54–69.
Chang SK, Shi QY, Yan CW. Iconic indexing by 2-D string, IEEE Trans. Pattern Anal. Machine Intell. 1987; 9(3):413–428.
Chang SK, Yan CW, Dimitroff DC, Arndt T. An intelligent image database system. IEEE Trans. Software Engineering. 1988; 14:681–688.
Lee SY, Hsu FJ. 2D C-string: a new spatial knowledge representation for image database systems. Pattern Recognition. 1990; 23:1077–1087.
Tanimoto L. An iconic symbolic data structuring scheme, in: Pattern Recognition and Artificial Intelligence. Academic Press, New York, 1976; 452–471.
Chang SK, Hou TY, Hsu A. Smart image design for large image database, Journal of Visual Languages and Computing. 1992; 3:323–342.
Chang SK, Hsu A. Image information systems: where do we go from here? IEEE Transaction on Knowledge and Data Engineering. 1992; 4(5):431–442.
Petraglia G, Sebillo M, Tucci M, Tortora G. A normalized index for image databases, in: Chang SK, Jungert E, Tortora G (Eds.), Intelligent Image Database Systems, World Scientific Publishing, Singapore. 1996; 43–69.
Bentley L, Friedman JH. Data structures for range searching. ACM Computing Survey. 1979; 11(4):397–409.
Ullman JD. Principles of Database and Knowledge-based Systems. Computer Science Press, Rockville, Maryland, USA, 1988.
Abate A.F., Nappi M., Tortora G. and Tucci M., “IME: An Image Management Environment with Content-based Access”, Image and Vision Computing, 17 (1999) 967–980, Elsevier Science.
Jungert E, Chang SK. An image algebra for pictorial data manipulation. CVGIP: Image Understanding. 1993; 58(2):147–160.
Di Ruberto C, Nappi M, Vitulano S. Different methods to segment biomedical images. Pattern Recognition Letters. 1998; 18(11/13):1125–1131.
Salton G, McGill MJ. Introduction to Modern Information Retrieval. McGraw Hill, 1983.
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2001 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Abate, A.F., Sasso, G., Donadio, A.C., Sasso, F.S. (2001). The Riddles of Murecine: The Role of Anthropological Research by Images and Visual Computing. In: Tucci, M. (eds) Multimedia Databases and Image Communication. MDIC 2001. Lecture Notes in Computer Science, vol 2184. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-44819-5_3
Download citation
DOI: https://doi.org/10.1007/3-540-44819-5_3
Published:
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-42587-8
Online ISBN: 978-3-540-44819-8
eBook Packages: Springer Book Archive