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Object-based evaluation of hierarchical region-based representations based on information theory statistical measures

Author
Calderero, F.; Marques, F.
Type of activity
Presentation of work at congresses
Name of edition
CBMI International Conference on Content Based Multimedia Indexing
Date of publication
2008
Presentation's date
2008-06
Book of congress proceedings
2008 International Workshop on Content-Based Multimedia Indexing: CBMI 2008: Conference proceedings
First page
184
Last page
191
Publisher
IEEE Computer Society Publications
DOI
https://doi.org/10.1109/CBMI.2008.4564945 Open in new window
Rewarded activity
Yes
Repository
http://hdl.handle.net/2117/20121 Open in new window
Abstract
Best Student Paper Award of the Sixth International Workshop on Content-Based Multimedia Indexing (CBMI 2008) This work presents an evaluation in terms of object representation of the hierarchical region-based representations created by a family of general statistical region merging algorithms. These merging techniques are based on different versions of information theory statistical measures; concretely, the Kullback-Leibler divergence and the Bhattacharyya coefficient. Additionally, a signific...
Citation
Calderero, F.; Marques, F. Object-based evaluation of hierarchical region-based representations based on information theory statistical measures. A: International Workshop on Content-Based Multimedia Indexing. "2008 International Workshop on Content-Based Multimedia Indexing: CBMI 2008: Conference proceedings". Londres: IEEE Computer Society Publications, 2008, p. 184-191.
Group of research
GPI - Image and Video Processing Group
IDEAI-UPC - Intelligent Data Science and Artificial Intelligence Research Center

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