Jill Kliger
- ADOR91.G. Adorni, and A. Poggi, "Actions representation in a 4-D space," in Int. J, Man-Machine Studies (1991) 35, p825. Google Scholar
Digital Library
- ANIC90.P. Anick, J. Brennan, R. Flynn, D. Hanssen, B. Alvey, and J. Robbins, "A Direct Manipulation Interface for Boolean Information Retrieval via Natural Language Query," in Proceedings of SIGIR '90, 1990. Google ScholarDigital Library
- ARND90.T. Amdt, "A Survey of Recent Research in Image Database Management," in Proceedings of the 1990 IEEE Workshop on Visual Languages, 1990.Google Scholar
- BACH92.J. Bach, S. Paul, and R. jain, "An Interactive Image Management System for Face Information Retrieval," in IEEE Transactions on Knowledge and Data Engineering, Special Section on Multimedia Information Systems, 1992.Google Scholar
- BECK92.H. Beck, T. Anwar, and S. Navathe, "Classification through Conceptual Clustering in Database Systems," in Proceedings of Information and Knowledge Management, 1992.Google Scholar
- CAPI90.R. Capindale, and R. Crawford, "Using a natural language interface with casual users," in Int. J, Man-Machine Studies (1990) 32, p341. Google ScholarDigital Library
- GARB92.S. Garber, and M. Grunes, "The Art of Search: A Study of Art Directors," in CHI '92 Conference Proceedings, 1992. Google ScholarDigital Library
- GUPT91.A. Gupta, T. Weymouth, and R. Jain, "Semantic Queries with pictures: the VIMSYS Model," in Proceedings of the 17th International Conference on Very Large Data Bases, 1991. Google ScholarDigital Library
- JOSE88.T. Joseph, and A. Cardenas, "PiCQUERY: A High Level Query Language for Pictorial Database Management," in IEEE Transactions on Software Engineering, Vol. 14, No. 5. May 1988. Google ScholarDigital Library
- KATO91.T. Kato, T. Kurita, H. Shimogaki, T. Mizutori, and K. Fujimura, "A Cognitive Approach to Visual Interaction." Paper presented at International Conference on Multimedia Information Systems, 1991. Google ScholarDigital Library
- KIM91.W. Kim, N. Ballou, J. Garza, and D. Woelk,"A Distributed Object-Oriented Database System Supporting Shared and Private Databases," in ACM Transactions on Information Systems, Vol. 9, No. 1,1991. Google ScholarDigital Library
- KOH89.T. Koh, and T. Chua, "On the Design of a Frame-based Hypermedia System." Paper presented at Hypertext II, UK, 1989.Google Scholar
- KURO89.M. Kurokawa, "An Approach to Retrieve Images by Using their Pictorial Features" in International Conf. on Image Processing, 1989.Google Scholar
- LEON89.M. Leong, S. Sam, and D. Narasimhalu, "Towards a Visual Language for an Object-Oriented Multi-Media Database System," in Visual Database Systems, North Holland Publishing 1989.Google Scholar
- ROUS88.N. Roussopoulos, C. Falutos, and T. Sellis, "An Efficient Pictorial Database System for PSQL" in IEEE Transactions on Software Engineering, Vol. 14, No. 5. May 1988. Google ScholarDigital Library
- SPAR93.T. Sparr, D. Bergeron, and L. Meeker, "A Visualization-Based Model for a Scientific Database System," in Focus on Scientific Visualization, Springer- Verlag, NY 1993. Google ScholarDigital Library
- SWAN92.D. Swanberg, T. Weymouth, and R. Jain, "Domain information model: an extended data model for insertions and query," in Proceedings of the Multimedia Information System,1992.Google Scholar
Index Terms
- Concept clustering ina query interface to an image database
Recommendations
The University of Alberta user interface management system
In this paper the design and implementation of the University of Alberta user interface management system (UIMS) is discussed. This UIMS is based on the Seeheim model of user interfaces, which divides the user interface into three separate components. ...
The University of Alberta user interface management system
SIGGRAPH '85: Proceedings of the 12th annual conference on Computer graphics and interactive techniquesIn this paper the design and implementation of the University of Alberta user interface management system (UIMS) is discussed. This UIMS is based on the Seeheim model of user interfaces, which divides the user interface into three separate components. ...
Effective Image Retrieval Based on Hidden Concept Discovery in Image Database
This paper addresses content-based image retrieval in general, and in particular, focuses on developing a hidden semantic concept discovery methodology to address effective semantics-intensive image retrieval. In our approach, each image in the database ...
Comments