Abstract
This demo presents an image retrieval system named RoboGene using multi-level log-based relevance feedback scheme. By analyzing previous users’ perception on the content of images stored in user log, MLLR ranks the images with stronger log-based relevance to current user’s positive feedback higher than those with weaker relevance. The final rank of images returned by RoboGene is the combination of rank of log-based relevance and that of low-level features.
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© 2011 Springer-Verlag Berlin Heidelberg
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Zhang, H., Li, H., Dong, S., Sun, W. (2011). RoboGene: An Image Retrieval System with Multi-Level Log-Based Relevance Feedback Scheme. In: Lee, KT., Tsai, WH., Liao, HY.M., Chen, T., Hsieh, JW., Tseng, CC. (eds) Advances in Multimedia Modeling. MMM 2011. Lecture Notes in Computer Science, vol 6524. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-17829-0_45
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DOI: https://doi.org/10.1007/978-3-642-17829-0_45
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-17828-3
Online ISBN: 978-3-642-17829-0
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