UPMC/LIP6 at ImageCLEFphoto 2009
Sabrina Tollari · 2009
This working note1 describes the LIP6 runs for the ImageCLEF photo task 2009. Text retrieval is based on Okapi. Visual retrieval is based on HSV histograms. As we think that text modality should be more efficient than content based image retrieval, we use a non symmetric late fusion between text ranks and visual ranks. Finally, we apply two diversity methods based on visual clustering and random permutation. Results show that visual clustering gives better results than text retrieval only when few text information is given.