Publication Type

Conference Proceeding Article

Version

acceptedVersion

Publication Date

9-2007

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. [Includes the NTU solution for the object retrieval task of ImageCLEF 2007].

Keywords

Image Retrieval, Visual Word, Interest Point, Query Image, Image Patch

Discipline

Computer Sciences | Databases and Information Systems

Research Areas

Data Science and Engineering

Publication

Advances in Multilingual and Multimodal Information Retrieval: 8th Workshop of the Cross-Language Evaluation Forum, CLEF 2007, Budapest, Hungary, September 19-21

Volume

5142

First Page

445

Last Page

471

ISBN

9783540857600

Identifier

10.1007/978-3-540-85760-0_58

Publisher

Springer

City or Country

Berlin

Additional URL

https://doi.org/10.1007/978-3-540-85760-0_58

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