Overview of the ImageCLEF 2007 Object Retrieval Task

• Main Authors: Deselaers, Thomas, HOI, Steven C. H.
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2007
• Subjects: Image Retrieval; Visual Word; Interest Point; Query Image; Image Patch; Computer Sciences; Databases and Information Systems
• Online Access: https://ink.library.smu.edu.sg/sis_research/2408; https://ink.library.smu.edu.sg/context/sis_research/article/3408/viewcontent/objret_lncs.pdf
• Institution: Singapore Management University

We describe the object retrieval task of ImageCLEF 2007, give an overview of the methods of the participating groups, and present and discuss the results. The task was based on the widely used PASCAL object recognition data to train object recognition methods and on the IAPR TC-12 benchmark dataset from which images of objects of the ten different classes bicycles, buses, cars, motorbikes, cats, cows, dogs, horses, sheep, and persons had to be retrieved. Seven international groups participated using a wide variety of methods. The results of the evaluation show that the task was very challenging and that different methods for relevance assessment can have a strong influence on the results of an evaluation. [Includes the NTU solution for the object retrieval task of ImageCLEF 2007].