论文信息 - Concept Content Based Wikipedia WEB Image Retrieval using CLEF VCDT 2008

Concept Content Based Wikipedia WEB Image Retrieval using CLEF VCDT 2008

One challenge for this Wikipedia task is the training of visual models. We propose in this paper to link each topics one or few visual concepts of the Visual Concept Detection (VCDT) CLEFimage08 task, even if three topics do not t VCDT concepts. We use the same models and features than in our VCDT systems. We show that our visual IMG NOFB run is the second best model in this campaign for this run type. So it can be concluded that our VCDT visual concept partly t this task. Moreover we show that even a simple boolean text analysis overcomes the best IMG NO FEEDBACK run, which has 0.0037 MAP, against 0.399 for our TXT NOFB text run. This emphases the fact that visual retrieval for Wiki task is very dicult.

Hervé Glotin | Zhong-Qiu Zhao

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