PASCAL - Pattern Analysis, Statistical Modelling and Computational Learning

Overview of the ImageCLEF 2007 Object Retrieval Task
Thomas Deselaers, Allan Hanbury, Ville Viitaniemi, Andras Benczur, Matyas Brendel, Balint Daroczy, Escalante Balderas, Hugo Jair, Theo Gevers, Carlos Arturo Hernandez Gracidas, Steven Hoi, Jorma Laaksonen, Mingjing Li, Heidy Marisol Marin Castro, Hermann Ney, Xiaoguang Rui, Nicu Sebe, Julian Stöttinger and Lei Wu
In: CLEF 2007 Workshop, Budapest, Hungary(2007).

Abstract

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.

EPrint Type:Conference or Workshop Item (Oral)
Project Keyword:Project Keyword UNSPECIFIED
Subjects:Machine Vision
Information Retrieval & Textual Information Access
ID Code:3294
Deposited By:Ville Viitaniemi
Deposited On:07 February 2008