Title :
Query reformulation for content based multimedia retrieval in MARS
Author :
Porkaew, Kriengkrai ; Ortega, Michael ; Mehrota, S.
Author_Institution :
Dept. of Comput. Sci., Illinois Univ., Urbana, IL, USA
Abstract :
Unlike traditional database management systems, in content-based multimedia retrieval databases, it is difficult for users to express their exact information need directly in a precise query. A typical interface allows users to express their information need using examples of objects similar to the ones they wish to retrieve. Such a user interface, however, requires mechanisms to learn the query representation from the examples. In this paper, we describe the query refinement framework implemented in the Multimedia Analysis and Retrieval System (MARS) for learning query representations using relevance feedback. The proposed framework uses a query expansion approach towards modifying the query representation in which relevant objects are added to the query. Furthermore, query reweighting techniques are used to adjust similarity functions
Keywords :
content-based retrieval; multimedia databases; query processing; relevance feedback; MARS; content based multimedia retrieval; multimedia analysis and retrieval system; query refinement framework; query reformulation; query representation; query reweighting; relevance feedback; similarity functions; user interface; Computer science; Content based retrieval; Database systems; Feedback; Image retrieval; Information retrieval; Mars; Multimedia databases; Multimedia systems; User interfaces;
Conference_Titel :
Multimedia Computing and Systems, 1999. IEEE International Conference on
Conference_Location :
Florence
Print_ISBN :
0-7695-0253-9
DOI :
10.1109/MMCS.1999.778578