Browsing School of Economic Sciences and Business by Subject "Image Retrieval"
Now showing items 1-2 of 2
-
A Fuzzy Rank-Based Late Fusion Method for Image Retrieval
(Springer-Verlag, 2012)Rank-based fusion is indispensable in multiple search setups in lack of item retrieval scores, such as in meta-search with non-cooperative engines. We introduce a novel, simple, and efficient method for rank-based late ...
-
TsoKaDo: An Image Search Engine Performing Recursive Query Recommendation Based on Visual Information
(IARIA, 2012)This paper tackles the problem of the user’s incapability to describe exactly the image that he seeks by introducing an innovative image search engine called TsoKaDo. Until now the traditional web image search was based ...