BTU DBIS' Plant Identification Runs at ImageCLEF 2012.
Thomas Böttcher, Christoph Q. Schmidt, David Zellhöfer, Ingo Schmitt · CLEF (Online Working Notes/Labs/Workshop) · 2012
In this work, we summarize the results of our rst participa- tion in the plant identication task. Unlike other contributors, we present a rather untypical approach, which does not rely on classication techniques. In contrast, logical combina- tions of low-level features expressed in a query language are used to assess a document's similarity to a species. Similar to ImageCLEF 2011, DBIS' approach is based on the commuting quantum query language (CQQL). CQQL was proposed by the workgroup to combine similar- ity predicates as found in information retrieval and relational predicates common in databases. In order to combine both predicate types, CQQL utilizes the mathematical formalisms of quantum mechanics and logic eventually forming a probabilistic logic. To test the utility of our query language, three dierent automatic ap- proaches are discussed. First, a query by example approach towards plant identication is presented. Second, the approach is combined with a k- medoid technique to exploit relationships within the top-k results. To conclude with, the aforementioned techniques are compared with the utilization of the k-medoid method alone. With respect to the non-existent experience with the task, the results of the discussed approach are fairly decent but leave room for improvement being outlined as future work.