Diversity in Photo Retrieval: Overview of the ImageCLEFPhoto Task 2009

The ImageCLEF Photo Retrieval Task 2009 focused on image retrieval and diversity. A new collection was utilised in this task consisting of approximately half a million images with English annotations. Queries were based on analysing search query logs and two different types were released: one containing information about image clusters; the other without. A total of 19 participants submitted 84 runs. Evaluation, based on Precision at rank 10 and Cluster Recall at rank 10, showed that participants were able to generate runs of high diversity and relevance. Findings show that submissions based on using mixed modalities performed best compared to those using only concept-based or content-based retrieval methods. The selection of query fields was also shown to affect retrieval performance. Submissions not using the cluster information performed worse with respect to diversity than those using this information. This paper summarises the ImageCLEFPhoto task for 2009. Categories and Subject ...

• Type: Journal
• Year: 2009
• Where: CLEF
• Authors: Monica Lestari Paramita, Mark Sanderson, Paul Clough
• Keywords: CLEF 2009, Content-based Retrieval Methods, Image Retrieval, Information Technology, Photo Retrieval Task