DocumentCode :
2952529
Title :
Shape-Based Visual Query Rewriting
Author :
Chalhoub, Georges ; Chbeir, Richard ; Yetongnon, Kokou
Author_Institution :
Comput. Sci. Dept., Bourgogne Univ., Dijon
fYear :
2006
fDate :
9-12 July 2006
Firstpage :
389
Lastpage :
392
Abstract :
A visual query is based on pictorial representation of conceptual entities and operations. One of the most important features used in visual queries is the shape. Despite its intuitive writing, a shape-based visual query usually suffers of a complexity processing related to two major parameters: 1-the imprecise user request, 2-shapes may undergo several types of transformation. Several methods are provided in the literature to assist the user during query writing. In this paper, we present a new cooperative approach based on the shape neighborhood concept allowing the user to rewrite a shape-based visual query according to his preferences with high flexibility in terms of including (or excluding) only some shape transformations and of result sorting
Keywords :
image retrieval; query processing; visual databases; visual languages; complexity processing; pictorial representation; shape-based visual query rewriting; Computer science; Feedback; Formal languages; Image databases; Image retrieval; Shape measurement; Sorting; Visual databases; Visualization; Writing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Multimedia and Expo, 2006 IEEE International Conference on
Conference_Location :
Toronto, Ont.
Print_ISBN :
1-4244-0366-7
Electronic_ISBN :
1-4244-0367-7
Type :
conf
DOI :
10.1109/ICME.2006.262518
Filename :
4036618
Link To Document :
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