Comparison of feature sets using multimedia translation

Date

2003-01-01

Author

Duygulu, P
Ozcanli, OC
Papernick, N

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This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

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Feature selection is very important for many computer vision applications. However, it is hard to find a good measure for the comparison. In this study, feature sets are compared using the translation model of object recognition which is motivated by the availablity of large annotated data sets. Image regions are linked to words using a model which is inspired by machine translation. Word prediction performance is used to evaluate large numbers of images.

Subject Keywords

Machine translation, Image region, Content base image retrieval, Target distribution, Statistical machine translation

URI

https://hdl.handle.net/11511/67142

Collections

Department of Computer Engineering, Conference / Seminar