Improving image sets through sense disambiguation and context ranking

Anthony Buck; Walterio Mayol-Cuevas

doi:10.1109/ICSMC.2009.5346266

Improving image sets through sense disambiguation and context ranking

Anthony Buck, Walterio Mayol-Cuevas

Bristol Robotics Laboratory

Research output: Chapter in Book/Report/Conference proceeding › Conference Contribution (Conference Proceeding)

Abstract

Current approaches to automatic, class speciﬁc, image retrieval from the World Wide Web (WWW) by linguistic query often make use of an image’s internal characteristics and ﬁle meta-data to augment and improve result accuracy. We propose that, in extension, improvement can be achieved in relevance, noise-reduction and completeness through sense disambiguation and contextual meta-data prepossessing. Our schemes exploits a linguistic ontology identifying query relevant homographs used to construct sense speciﬁc keyword sets allowing for enhanced image search and result ranking via the calculation of relatedness between query homographs and image context prior to any additional ﬁltering. Within the paper we investigate different schemes for keyword set construction; ontology exclusive and authority extended, along with three differing ranking mechanisms.

Translated title of the contribution	Improving Image Sets Through Sense Disambiguation and Context Ranking
Original language	English
Title of host publication	2009 IEEE International Conference on Systems, Man and Cybernetics (SMC 2009)
Subtitle of host publication	Proceedings of a meeting held 11-14 October 2009, San Antonio, Texas
Publisher	Institute of Electrical and Electronics Engineers (IEEE)
Pages	1502-1509
Number of pages	8
ISBN (Print)	9781424427932
DOIs	https://doi.org/10.1109/ICSMC.2009.5346266
Publication status	Published - Jan 2010

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ISSN (Print)	1062-922X

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Buck, A., & Mayol-Cuevas, W. (2010). Improving image sets through sense disambiguation and context ranking. In 2009 IEEE International Conference on Systems, Man and Cybernetics (SMC 2009): Proceedings of a meeting held 11-14 October 2009, San Antonio, Texas (pp. 1502-1509). Institute of Electrical and Electronics Engineers (IEEE). https://doi.org/10.1109/ICSMC.2009.5346266

@inproceedings{0b032303906247259816b2cabbbd5165,

title = "Improving image sets through sense disambiguation and context ranking",

abstract = "Current approaches to automatic, class speciﬁc, image retrieval from the World Wide Web (WWW) by linguistic query often make use of an image{\textquoteright}s internal characteristics and ﬁle meta-data to augment and improve result accuracy. We propose that, in extension, improvement can be achieved in relevance, noise-reduction and completeness through sense disambiguation and contextual meta-data prepossessing. Our schemes exploits a linguistic ontology identifying query relevant homographs used to construct sense speciﬁc keyword sets allowing for enhanced image search and result ranking via the calculation of relatedness between query homographs and image context prior to any additional ﬁltering. Within the paper we investigate different schemes for keyword set construction; ontology exclusive and authority extended, along with three differing ranking mechanisms. ",

author = "Anthony Buck and Walterio Mayol-Cuevas",

year = "2010",

month = jan,

doi = "10.1109/ICSMC.2009.5346266",

language = "English",

isbn = "9781424427932",

publisher = "Institute of Electrical and Electronics Engineers (IEEE)",

pages = "1502--1509",

booktitle = "2009 IEEE International Conference on Systems, Man and Cybernetics (SMC 2009)",

address = "United States",

}

Buck, A & Mayol-Cuevas, W 2010, Improving image sets through sense disambiguation and context ranking. in 2009 IEEE International Conference on Systems, Man and Cybernetics (SMC 2009): Proceedings of a meeting held 11-14 October 2009, San Antonio, Texas. Institute of Electrical and Electronics Engineers (IEEE), pp. 1502-1509. https://doi.org/10.1109/ICSMC.2009.5346266

Improving image sets through sense disambiguation and context ranking. / Buck, Anthony; Mayol-Cuevas, Walterio.
2009 IEEE International Conference on Systems, Man and Cybernetics (SMC 2009): Proceedings of a meeting held 11-14 October 2009, San Antonio, Texas. Institute of Electrical and Electronics Engineers (IEEE), 2010. p. 1502-1509.

Research output: Chapter in Book/Report/Conference proceeding › Conference Contribution (Conference Proceeding)

TY - GEN

T1 - Improving image sets through sense disambiguation and context ranking

AU - Buck, Anthony

AU - Mayol-Cuevas, Walterio

PY - 2010/1

Y1 - 2010/1

N2 - Current approaches to automatic, class speciﬁc, image retrieval from the World Wide Web (WWW) by linguistic query often make use of an image’s internal characteristics and ﬁle meta-data to augment and improve result accuracy. We propose that, in extension, improvement can be achieved in relevance, noise-reduction and completeness through sense disambiguation and contextual meta-data prepossessing. Our schemes exploits a linguistic ontology identifying query relevant homographs used to construct sense speciﬁc keyword sets allowing for enhanced image search and result ranking via the calculation of relatedness between query homographs and image context prior to any additional ﬁltering. Within the paper we investigate different schemes for keyword set construction; ontology exclusive and authority extended, along with three differing ranking mechanisms.

AB - Current approaches to automatic, class speciﬁc, image retrieval from the World Wide Web (WWW) by linguistic query often make use of an image’s internal characteristics and ﬁle meta-data to augment and improve result accuracy. We propose that, in extension, improvement can be achieved in relevance, noise-reduction and completeness through sense disambiguation and contextual meta-data prepossessing. Our schemes exploits a linguistic ontology identifying query relevant homographs used to construct sense speciﬁc keyword sets allowing for enhanced image search and result ranking via the calculation of relatedness between query homographs and image context prior to any additional ﬁltering. Within the paper we investigate different schemes for keyword set construction; ontology exclusive and authority extended, along with three differing ranking mechanisms.

U2 - 10.1109/ICSMC.2009.5346266

DO - 10.1109/ICSMC.2009.5346266

M3 - Conference Contribution (Conference Proceeding)

SN - 9781424427932

SP - 1502

EP - 1509

BT - 2009 IEEE International Conference on Systems, Man and Cybernetics (SMC 2009)

PB - Institute of Electrical and Electronics Engineers (IEEE)

ER -

Buck A, Mayol-Cuevas W. Improving image sets through sense disambiguation and context ranking. In 2009 IEEE International Conference on Systems, Man and Cybernetics (SMC 2009): Proceedings of a meeting held 11-14 October 2009, San Antonio, Texas. Institute of Electrical and Electronics Engineers (IEEE). 2010. p. 1502-1509 Epub 2009 Dec 4. doi: 10.1109/ICSMC.2009.5346266

Improving image sets through sense disambiguation and context ranking

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