Name
Title | ||
|---|---|---|
A Novel Relevance Feedback Procedure Based On Logistic Regression And Owa Operator For Content-Based Image Retrieval Systemy |
Abstract | ||
|---|---|---|
This paper presents a new algorithm for content based retrieval systems in large databases. The objective of these systems is to find the images which are as similar as possible to a user query from those contained in the global image database without using textual annotations attached to the images. ne procedure proposed here to address this problem is based on logistic regression model: the algorithm considers the probability of an image to belong to the set of those desired by the user. In this work a relevance proabaility pi(I) is a quantity wich reflects the estimate of the relevance of the image I with respect to the user's preferences. The problem of the small sample size with respect to the number of features is solved by adjusting several partial linear models and combining its relevance probabilitis by means of an ordered averaged weighted operator. Experimental results are shown to evaluate the method on a large image database in term of the average number of iterations needed to find a target image. |
Year | Venue | Keywords |
|---|---|---|
2007 | VISAPP 2007: PROCEEDINGS OF THE SECOND INTERNATIONAL CONFERENCE ON COMPUTER VISION THEORY AND APPLICATIONS, VOLUME IU/MTSV | visual information retrieval, relevance feedback, logistic regresion |
Field | DocType | Citations |
Data mining,Relevance feedback,Pattern recognition,Computer science,Artificial intelligence,Operator (computer programming),Logistic regression,Machine learning,Content-based image retrieval | Conference | 0 |
PageRank | References | Authors |
0.34 | 1 | 5 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Pedro Zuccarello | 1 | 90 | 6.58 |
| Esther De Ves | 2 | 70 | 8.61 |
| Teresa León | 3 | 82 | 7.54 |
| Guillermo Ayala | 4 | 95 | 16.13 |
| Juan Domingo | 5 | 3319 | 258.54 |