Image annotation by hierarchical mapping of features

Qiankun Zhao, Prasenjit Mitra, C. Lee Giles

Research output: Chapter in Book/Report/Conference proceedingConference contribution

4 Citations (Scopus)

Abstract

In this paper, we propose a novel approach of image annotation byconstructing a hierarchical mapping between low-level visualfeatures and text features utilizing the relations within and acrossboth visual features and text features. Moreover, we propose a novelannotation strategy that maximizes both the accuracy and thediversity of the generated annotation by generalizing or specifyingthe annotation in the corresponding annotation hierarchy.Experiments with 4500 scientific images from Royal Society ofChemistry journals show that the proposed annotation approachproduces satisfactory results at different levels of annotations.

Original languageEnglish
Title of host publication16th International World Wide Web Conference, WWW2007
Pages1237-1238
Number of pages2
DOIs
Publication statusPublished - 2007
Externally publishedYes
Event16th International World Wide Web Conference, WWW2007 - Banff, AB
Duration: 8 May 200712 May 2007

Other

Other16th International World Wide Web Conference, WWW2007
CityBanff, AB
Period8/5/0712/5/07

Fingerprint

Experiments

Keywords

  • Feature mapping
  • Hierarchical relation
  • Image annotation

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Software

Cite this

Zhao, Q., Mitra, P., & Giles, C. L. (2007). Image annotation by hierarchical mapping of features. In 16th International World Wide Web Conference, WWW2007 (pp. 1237-1238) https://doi.org/10.1145/1242572.1242784

Image annotation by hierarchical mapping of features. / Zhao, Qiankun; Mitra, Prasenjit; Giles, C. Lee.

16th International World Wide Web Conference, WWW2007. 2007. p. 1237-1238.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Zhao, Q, Mitra, P & Giles, CL 2007, Image annotation by hierarchical mapping of features. in 16th International World Wide Web Conference, WWW2007. pp. 1237-1238, 16th International World Wide Web Conference, WWW2007, Banff, AB, 8/5/07. https://doi.org/10.1145/1242572.1242784
Zhao Q, Mitra P, Giles CL. Image annotation by hierarchical mapping of features. In 16th International World Wide Web Conference, WWW2007. 2007. p. 1237-1238 https://doi.org/10.1145/1242572.1242784
Zhao, Qiankun ; Mitra, Prasenjit ; Giles, C. Lee. / Image annotation by hierarchical mapping of features. 16th International World Wide Web Conference, WWW2007. 2007. pp. 1237-1238
@inproceedings{99b425c37c3b413b8fee4c3fd8d6c3cd,
title = "Image annotation by hierarchical mapping of features",
abstract = "In this paper, we propose a novel approach of image annotation byconstructing a hierarchical mapping between low-level visualfeatures and text features utilizing the relations within and acrossboth visual features and text features. Moreover, we propose a novelannotation strategy that maximizes both the accuracy and thediversity of the generated annotation by generalizing or specifyingthe annotation in the corresponding annotation hierarchy.Experiments with 4500 scientific images from Royal Society ofChemistry journals show that the proposed annotation approachproduces satisfactory results at different levels of annotations.",
keywords = "Feature mapping, Hierarchical relation, Image annotation",
author = "Qiankun Zhao and Prasenjit Mitra and Giles, {C. Lee}",
year = "2007",
doi = "10.1145/1242572.1242784",
language = "English",
isbn = "1595936548",
pages = "1237--1238",
booktitle = "16th International World Wide Web Conference, WWW2007",

}

TY - GEN

T1 - Image annotation by hierarchical mapping of features

AU - Zhao, Qiankun

AU - Mitra, Prasenjit

AU - Giles, C. Lee

PY - 2007

Y1 - 2007

N2 - In this paper, we propose a novel approach of image annotation byconstructing a hierarchical mapping between low-level visualfeatures and text features utilizing the relations within and acrossboth visual features and text features. Moreover, we propose a novelannotation strategy that maximizes both the accuracy and thediversity of the generated annotation by generalizing or specifyingthe annotation in the corresponding annotation hierarchy.Experiments with 4500 scientific images from Royal Society ofChemistry journals show that the proposed annotation approachproduces satisfactory results at different levels of annotations.

AB - In this paper, we propose a novel approach of image annotation byconstructing a hierarchical mapping between low-level visualfeatures and text features utilizing the relations within and acrossboth visual features and text features. Moreover, we propose a novelannotation strategy that maximizes both the accuracy and thediversity of the generated annotation by generalizing or specifyingthe annotation in the corresponding annotation hierarchy.Experiments with 4500 scientific images from Royal Society ofChemistry journals show that the proposed annotation approachproduces satisfactory results at different levels of annotations.

KW - Feature mapping

KW - Hierarchical relation

KW - Image annotation

UR - http://www.scopus.com/inward/record.url?scp=35348870046&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=35348870046&partnerID=8YFLogxK

U2 - 10.1145/1242572.1242784

DO - 10.1145/1242572.1242784

M3 - Conference contribution

AN - SCOPUS:35348870046

SN - 1595936548

SN - 9781595936547

SP - 1237

EP - 1238

BT - 16th International World Wide Web Conference, WWW2007

ER -