Context-based image semantic similarity

Valentina Franzoni; Alfredo Milani; Simonetta Pallottelli; Clement H.C. Leung; Yuanxi Li

doi:10.1109/FSKD.2015.7382127

Context-based image semantic similarity

Valentina Franzoni
, Alfredo Milani
, Simonetta Pallottelli
, Clement H.C. Leung
, Yuanxi Li

Department of Computer Science

Research output: Chapter in book/report/conference proceeding › Conference proceeding › peer-review

37 Citations (Scopus)

Abstract

In this work we propose Context-based Image Similarity, a scheme for discovering and evaluating image similarity in terms of the associated groups of concepts. Several semantic proximity/similarity among image concepts and different concept ontology - WordNet Distance, Wikipedia Distance, Flickr Distance, Confidence, Normalized Google Distance (NGD), Pointwise Mutual Information (PMI) and PMING, have been considered as elementary metrics for the context. Comparing to Content Based Image Retrieval (CBIR), which measures the image content similarities by low level features, the proposed Context-based Image Similarity outperformed CBIR in measuring the deep concept similarity and relationship of images. Experimental results, obtained in the domain of images semantic similarity using search engine based tag similarity, show the adequacy of the proposed approach in order to reflect the collective notion of semantic similarity.

Original language	English
Title of host publication	2015 12th International Conference on Fuzzy Systems and Knowledge Discovery, FSKD 2015
Editors	Zhuo Tang, Jiayi Du, Shu Yin, Renfa Li, Ligang He
Publisher	IEEE
Pages	1280-1284
Number of pages	5
ISBN (Electronic)	9781467376822, 9781467376815
DOIs	https://doi.org/10.1109/FSKD.2015.7382127
Publication status	Published - 15 Aug 2015
Event	12th International Conference on Fuzzy Systems and Knowledge Discovery, FSKD 2015 - Zhangjiajie, China Duration: 15 Aug 2015 → 17 Aug 2015

Publication series

Name	International Conference on Fuzzy Systems and Knowledge Discovery, FSKD

Conference

Conference	12th International Conference on Fuzzy Systems and Knowledge Discovery, FSKD 2015
Country/Territory	China
City	Zhangjiajie
Period	15/08/15 → 17/08/15

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 9 Industry, Innovation, and Infrastructure

User-Defined Keywords

collective knowledge
Context-based
data mining
image retrieval
knowleadge discovery
semantic

Access to Document

10.1109/FSKD.2015.7382127

Cite this

Franzoni, V., Milani, A., Pallottelli, S., Leung, C. H. C., & Li, Y. (2015). Context-based image semantic similarity. In Z. Tang, J. Du, S. Yin, R. Li, & L. He (Eds.), 2015 12th International Conference on Fuzzy Systems and Knowledge Discovery, FSKD 2015 (pp. 1280-1284). (International Conference on Fuzzy Systems and Knowledge Discovery, FSKD). IEEE. https://doi.org/10.1109/FSKD.2015.7382127

@inproceedings{906408f03b9d4471af43b59f4dd01544,

title = "Context-based image semantic similarity",

abstract = "In this work we propose Context-based Image Similarity, a scheme for discovering and evaluating image similarity in terms of the associated groups of concepts. Several semantic proximity/similarity among image concepts and different concept ontology - WordNet Distance, Wikipedia Distance, Flickr Distance, Confidence, Normalized Google Distance (NGD), Pointwise Mutual Information (PMI) and PMING, have been considered as elementary metrics for the context. Comparing to Content Based Image Retrieval (CBIR), which measures the image content similarities by low level features, the proposed Context-based Image Similarity outperformed CBIR in measuring the deep concept similarity and relationship of images. Experimental results, obtained in the domain of images semantic similarity using search engine based tag similarity, show the adequacy of the proposed approach in order to reflect the collective notion of semantic similarity.",

keywords = "collective knowledge, Context-based, data mining, image retrieval, knowleadge discovery, semantic",

author = "Valentina Franzoni and Alfredo Milani and Simonetta Pallottelli and Leung, \{Clement H.C.\} and Yuanxi Li",

note = "Publisher Copyright: {\textcopyright} 2015 IEEE.; 12th International Conference on Fuzzy Systems and Knowledge Discovery, FSKD 2015 ; Conference date: 15-08-2015 Through 17-08-2015",

year = "2015",

month = aug,

day = "15",

doi = "10.1109/FSKD.2015.7382127",

language = "English",

series = "International Conference on Fuzzy Systems and Knowledge Discovery, FSKD",

publisher = "IEEE",

pages = "1280--1284",

editor = "Zhuo Tang and Jiayi Du and Shu Yin and Renfa Li and Ligang He",

booktitle = "2015 12th International Conference on Fuzzy Systems and Knowledge Discovery, FSKD 2015",

address = "United States",

}

Franzoni, V, Milani, A, Pallottelli, S, Leung, CHC & Li, Y 2015, Context-based image semantic similarity. in Z Tang, J Du, S Yin, R Li & L He (eds), 2015 12th International Conference on Fuzzy Systems and Knowledge Discovery, FSKD 2015. International Conference on Fuzzy Systems and Knowledge Discovery, FSKD, IEEE, pp. 1280-1284, 12th International Conference on Fuzzy Systems and Knowledge Discovery, FSKD 2015, Zhangjiajie, China, 15/08/15. https://doi.org/10.1109/FSKD.2015.7382127

Context-based image semantic similarity. / Franzoni, Valentina; Milani, Alfredo; Pallottelli, Simonetta et al.
2015 12th International Conference on Fuzzy Systems and Knowledge Discovery, FSKD 2015. ed. / Zhuo Tang; Jiayi Du; Shu Yin; Renfa Li; Ligang He. IEEE, 2015. p. 1280-1284 (International Conference on Fuzzy Systems and Knowledge Discovery, FSKD).

Research output: Chapter in book/report/conference proceeding › Conference proceeding › peer-review

TY - GEN

T1 - Context-based image semantic similarity

AU - Franzoni, Valentina

AU - Milani, Alfredo

AU - Pallottelli, Simonetta

AU - Leung, Clement H.C.

AU - Li, Yuanxi

PY - 2015/8/15

Y1 - 2015/8/15

N2 - In this work we propose Context-based Image Similarity, a scheme for discovering and evaluating image similarity in terms of the associated groups of concepts. Several semantic proximity/similarity among image concepts and different concept ontology - WordNet Distance, Wikipedia Distance, Flickr Distance, Confidence, Normalized Google Distance (NGD), Pointwise Mutual Information (PMI) and PMING, have been considered as elementary metrics for the context. Comparing to Content Based Image Retrieval (CBIR), which measures the image content similarities by low level features, the proposed Context-based Image Similarity outperformed CBIR in measuring the deep concept similarity and relationship of images. Experimental results, obtained in the domain of images semantic similarity using search engine based tag similarity, show the adequacy of the proposed approach in order to reflect the collective notion of semantic similarity.

AB - In this work we propose Context-based Image Similarity, a scheme for discovering and evaluating image similarity in terms of the associated groups of concepts. Several semantic proximity/similarity among image concepts and different concept ontology - WordNet Distance, Wikipedia Distance, Flickr Distance, Confidence, Normalized Google Distance (NGD), Pointwise Mutual Information (PMI) and PMING, have been considered as elementary metrics for the context. Comparing to Content Based Image Retrieval (CBIR), which measures the image content similarities by low level features, the proposed Context-based Image Similarity outperformed CBIR in measuring the deep concept similarity and relationship of images. Experimental results, obtained in the domain of images semantic similarity using search engine based tag similarity, show the adequacy of the proposed approach in order to reflect the collective notion of semantic similarity.

KW - collective knowledge

KW - Context-based

KW - data mining

KW - image retrieval

KW - knowleadge discovery

KW - semantic

UR - https://www.scopus.com/pages/publications/84966651018

U2 - 10.1109/FSKD.2015.7382127

DO - 10.1109/FSKD.2015.7382127

M3 - Conference proceeding

AN - SCOPUS:84966651018

T3 - International Conference on Fuzzy Systems and Knowledge Discovery, FSKD

SP - 1280

EP - 1284

BT - 2015 12th International Conference on Fuzzy Systems and Knowledge Discovery, FSKD 2015

A2 - Tang, Zhuo

A2 - Du, Jiayi

A2 - Yin, Shu

A2 - Li, Renfa

A2 - He, Ligang

PB - IEEE

T2 - 12th International Conference on Fuzzy Systems and Knowledge Discovery, FSKD 2015

Y2 - 15 August 2015 through 17 August 2015

ER -

Context-based image semantic similarity

Abstract

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UN SDGs

User-Defined Keywords

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