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This paper describes the participation of Inria IMEDIA2 Team, within the Pl@ntNet project 4 , at the ImageCLEF2012 plant identification task. The runs used very distinct approaches, sometimes relying on similar extracted features. For Scan and Scan-like categories, the first two runs combine distinct local and contour approaches in two ways (late and early(More)
In the context of computer-assisted plant identification we are facing challenging information retrieval problems because of the very high within-class variability and of the limited number of training examples. To address these problems, we suggest a new interactive learning approach that combines similarity-based retrieval and re-ranking by SVM using(More)
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