Publication Type
Conference Proceeding Article
Version
submittedVersion
Publication Date
9-2007
Abstract
Object retrieval is an interdisciplinary research problem between object recognition and content-based image retrieval (CBIR). It is commonly expected that object retrieval can be solved more effectively with the joint maximization of CBIR and object recognition techniques. We study a typical CBIR solution with application to the object retrieval tasks [26,27]. We expect that the empirical study in this work will serve as a baseline for future research when using CBIR techniques for object recognition.
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
First Page
460
Last Page
462
ISBN
9783540857600
Identifier
10.1007/978-3-540-85760-0_58
Publisher
Springer
City or Country
Berlin
Citation
HOI, Steven C. H..
NTU: Solution for the object retrieval task of the ImageCLEF2007. (2007). Advances in Multilingual and Multimodal Information Retrieval: 8th Workshop of the Cross-Language Evaluation Forum, CLEF 2007, Budapest, Hungary, September 19-21. 460-462.
Available at: https://ink.library.smu.edu.sg/sis_research/2409
Copyright Owner and License
Author
Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-No Derivative Works 4.0 International License.
Additional URL
https://doi.org/10.1007/978-3-540-85760-0_58