A Probabilistic Model for User Relevance Feedback on Image Retrieval

Authors:
Roberto Paredes;Thomas Deselaers;Enrique Vidal
Affiliations:
Pattern Recognition and Human Language Technology Group, Universidad Politécnica de Valencia, Spain;Human Language Technology and Pattern Recognition Group Computer Science Department, RWTH Aachen University, Aachen, Germany;Pattern Recognition and Human Language Technology Group, Universidad Politécnica de Valencia, Spain
Venue:
MLMI '08 Proceedings of the 5th international workshop on Machine Learning for Multimodal Interaction
Year:
2008

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Abstract

We present a novel probabilistic model for user interaction in image retrieval applications which accounts for consistency among the retrieved images and considers the distribution of images in the database which is searched for. Common models for relevance feedback do not consider this and thus do not incorporate all available information. The proposed method is evaluated on two publicly available benchmark databases and clearly outperforms recent competitive methods.