MIRACL at LifeCLEF 2014: Multi-organ observation for plant identification

ImageCLEF 2014 has a challenge based on analysis for identifying plants. This article describes our first participation to the multiimage plant observation queries task of PlantCLEF 2014. The task will be evaluated as a plant species retrieval task based on multi-image plant observations queries. The goal is to retrieve the correct plant species among the top results of a ranked list of species returned by the evaluated system. In this paper, we present two method. Our first method is purely visual and entirely automatic, using only the image information. One should mention that the total time spent with preparing this submission was only about three week. The results were accordingly fairly poor. The challenge of our second method is to identify plant species based on combination of textual and structural context of image. Indeed, we have used the meta-data in our system for exploring the image characteristics. Our approach is based on a modern technique for exploitation of structure of XML document. Also, the results were accordingly fairly poor. Although our results are not quite promising as compared to other participant groups, they can still guide our work in this field for some conclusions reached.