A framework for image classification

Proceedings of the IEEE Southwest Symposium on Image Analysis and Interpretation

Volumn 2006, Issue , 2006, Pages 134-138

  Awad, Mamoun ^a   Wang, Lei ^a   Chin, Yuhan ^a   Khan, Latifur ^a   Chen, George ^b   Chebil, Fehmi ^b  

^a UNIVERSITY OF TEXAS AT DALLAS   (United States)

^b NOKIA RESEARCH CENTER   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

GROUND TRUTH; IMAGE ANNOTATION PROCESS; IMAGE CLASSIFICATION; TRAINING SET;

CLASSIFIERS; DATABASE SYSTEMS; FEEDBACK; HUMAN COMPUTER INTERACTION; IMAGE ANALYSIS; USER INTERFACES;

PATTERN RECOGNITION;

EID: 33751046075     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (5)

1. http://kdd.ics.uci.edu/databases/CorelFeatures/_CorelFeatures.data.html
2. A. Natsev, M. Naphade, J. Teslc, "Learning the Semantics of Multimedia Queries and Concepts from a Small Number of Examples," in Proc. of The 13th Annual ACM International Conference on Multimedia (MM 2005), Singapore, November 2005, pp. 598-607.
3. J. R. Smith and S. Chang, "VisualSEEK: A Fully Automated Content-Based Image Query System.", ACM Multimedia 1996, pp. 87-98.
4. L. Zhu, A. Rao, and A. Zhang, "Theory of Keyblock-based Image Retrieval," ACM Transactions on Information Systems, vol. 20, No. 2, April 2002, pp. 224-257.
5. Y. Chin, L. Khan, L. Wang, and M. Awad, "Image Annotations By Combining Multiple Evidence & WordNet" in Proc. of The 13th Annual ACM International Conference on Multimedia (MM 2005), Singapore, November 2005, pp. 706-715.