TY - GEN
T1 - Supporting similaxity queries in MARS
AU - Ortega, Michael
AU - Rui, Yong
AU - Chakrabarti, Kaushik
AU - Mehrotra, Sharad
AU - Huang, Thomas S.
N1 - This work was supported in part by the Army Research Laboratory under Cooperative Agreement No. DAALOl-96-2-0003; in part by NSF/DARPA/NASA Digital Library Initiative Program under Cooperative Agreement No. 94 11318; in part by NSF CISE Research Infrastructure Grant CDA-9624396. Yong Rui is supported in part by CSE, College of Eng. UIUC. Michael Ortega is supported in part by CONACYT grant 89061. The example images used in this article are used with permission from the Fowler Museum of Cultural History at the University of California-Los Angeles. These images were part of an image database delivery project called the Museum Educational Site Licensing Project (MESL), sponsored by the Getty Information Institute. This goal of the two-year MESL project was to test the licensing and delivery of digital images and meta data from seven U. S. museums to seven U. S. universities. The University of Illinois was selected as a participant in the MESL project.
PY - 1997/11/1
Y1 - 1997/11/1
N2 - To address the emerging needs of applications that require access to and retrieval of multimedia objects, we are developing the Multimedia Analysis and Retrieval System (MARS) in our group at the University of Illinois [13]. In this paper, we concentrate on the retrieval subsystem of MARS and its support for content-based queries over image databases. Content-based retrieval techniques have been extensively studied for textual documents in the area of automatic information retrieval [24, 21. This paper describes how these techniques can be adapted for ranked retried over image databases. Specifically, we discuss the ranking and retrieval algorithms developed in MARS based on the Boolean retrievaI model and describe the results of our experiments that demonstrate the effectiveness of the developed model for image retrieval.
AB - To address the emerging needs of applications that require access to and retrieval of multimedia objects, we are developing the Multimedia Analysis and Retrieval System (MARS) in our group at the University of Illinois [13]. In this paper, we concentrate on the retrieval subsystem of MARS and its support for content-based queries over image databases. Content-based retrieval techniques have been extensively studied for textual documents in the area of automatic information retrieval [24, 21. This paper describes how these techniques can be adapted for ranked retried over image databases. Specifically, we discuss the ranking and retrieval algorithms developed in MARS based on the Boolean retrievaI model and describe the results of our experiments that demonstrate the effectiveness of the developed model for image retrieval.
UR - https://www.scopus.com/pages/publications/85030162789
UR - https://www.scopus.com/pages/publications/85030162789#tab=citedBy
U2 - 10.1145/266180.266394
DO - 10.1145/266180.266394
M3 - Conference contribution
AN - SCOPUS:85030162789
T3 - Proceedings of the 5th ACM International Conference on Multimedia, MULTIMEDIA 1997
SP - 403
EP - 413
BT - Proceedings of the 5th ACM International Conference on Multimedia, MULTIMEDIA 1997
PB - Association for Computing Machinery
T2 - 5th ACM International Conference on Multimedia, MULTIMEDIA 1997
Y2 - 9 November 1997 through 13 November 1997
ER -