A hybrid ontology and visual-based retrieval model for cultural heritage multimedia collections

Vrochidis, Stefanos; Doulaverakis, Charalampos; Gounaris, Anastasios; Nidelkou, Evangelia; Makris, Lambros; Kompatsiaris, Ioannis

doi:10.1504/ijmso.2008.023566

Cited by 25 publications

(3 citation statements)

References 19 publications

(8 reference statements)

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The dissemination of knowledge and a knowledge base must be effective and comprehensive; information sources should be accessed with ease via a knowledge base. These processes are regarded as fundamental approaches to the management of intangible cultural heritage [28][29][30]. This study of the common cultural traditions of the GMS countries was compliant with the aforementioned policy; that is, the common cultural traditions of the GMS countries are a form of intangible cultural heritage, which we systematically organized and presented.…”

Section: Discussionmentioning

confidence: 99%

Semantic Search System for Common Cultural Traditions of the Greater Mekong Subregion

Hoaihongthong

Kwiecien

2022

ijirss

View full text Add to dashboard Cite

This article presents the development of a semantic search system for the common cultural traditions of the Greater Mekong Subregion, which has been studied using common cultural tradition data from Thailand, Laos, and Cambodia. Our system presents the implementation of semantic search to solve the problem of semantic gaps in common cultural characteristic concepts for information access and retrieval. The field of cultural heritage management represents a growing area of research that contains valuable information for users, researchers, and domain experts. Finding information on traditions or cultures of interest among unstructured materials requires a laborious search process. In this paper, we demonstrate how to extract semantic entities and relationships represented in the information using the theory of information science, specifically the Knowledge Organization (KO) approach, which involves determining the concepts and semantic relations of a particular issue and establishing their relations with relevant concepts. It serves as a foundation for knowledge structure development and ontology development, which contribute to effective information searching and knowledge access. The system was developed based on systematic ontology using the Hozo Ontology Editor and Database and ontology mapping using the Ontology Application Management (OAM) framework, which helps distinguish between relevant and irrelevant data, thereby leading to search effectiveness. To cut down on the time wasted in browsing and searching, reduce associated user frustration, and support the research of domain experts, more selective user access is needed.

show abstract

Section: Discussionmentioning

confidence: 99%

Semantic Search System for Common Cultural Traditions of the Greater Mekong Subregion

Hoaihongthong

Kwiecien

2022

ijirss

View full text Add to dashboard Cite

show abstract

“…Automatic analysis of visual art has mainly focused on classification of paintings by their creating artists (van den Herik & Postma, 2000;Keren, 2002;Widjaja et al, 2003;Johnson et al, 2008;Shen, 2009;Zujociv et al, 2009) or automatic association of paintings with captions and key words (Barnard & Forsyth, 2001; Lewis et al, 2004;Vrochidis et al, 2008). More recent work also showed that computers can assess the similarities between the artistic styles of painters, and thus automatically associate painters that share similar artistic styles or associated with the same schools of art (Shamir et al, 2010).…”

Section: Introductionmentioning

confidence: 99%

What makes a Pollock Pollock: a machine vision approach

Shamir

2015

IJART

View full text Add to dashboard Cite

Jackson Pollock introduced a revolutionary artistic style of dripping paint on a horizontal canvas. Here we study Pollock's unique artistic style by using computational methods for characterizing the low-level numerical differences between original Pollock drip paintings and drip paintings of other painters who attempted to mimic his signature drip painting style. Four thousands and twenty four numerical image content descriptors were extracted from each painting, and compared using Weighted Nearest Neighbor classification such that the Fisher discriminant scores of the content descriptors were used as weights. In 93% of the cases the computer analysis was able to differentiate between an original and a non-original Pollock drip painting. The most discriminative image content descriptors that were unique to the work of Pollock were the fractal features, but other numerical image content descriptors such as Zernike polynomials, Haralick textures, and Chebyshev statistics show substantial differences between original and non-original Pollock drip paintings. These experiments show that the uniqueness of Pollock's drip painting style is not reflected merely by fractals, but also by other numerical image content descriptors that reflect the visual content. The code and software used for the experiment is publicly available, and can be used to study the work of other artists.

show abstract

“…Such search engines combine text and content-based search, in order to offer more options to the users and produce more meaningful results [3]. More sophisticated approaches include also ontology-based search, which complements the content-based mode and vice-versa [4].…”

Section: Introductionmentioning

confidence: 99%

Towards content-based patent image retrieval: A framework perspective

Vrochidis

Papadopoulos

Moumtzidou

et al. 2010

World Patent Information

Self Cite

View full text Add to dashboard Cite

In this article, we discuss the potential benefits, the requirements and the challenges involved in patent image retrieval and subsequently, we propose a framework that encompasses advanced image analysis and indexing techniques to address the need for content-based patent image search and retrieval. The proposed framework involves the application of document image pre-processing, image feature and textual metadata extraction in order to support effectively content-based image retrieval in the patent domain. To evaluate the capabilities of our proposal, we implemented a patent image search engine. Results based on a series of interaction modes, comparison with existing systems and a quantitative evaluation of our engine provide evidence that image processing and indexing technologies are currently mature to be integrated in real-world patent retrieval applications.

show abstract

A hybrid ontology and visual-based retrieval model for cultural heritage multimedia collections

Cited by 25 publications

References 19 publications

Semantic Search System for Common Cultural Traditions of the Greater Mekong Subregion

Semantic Search System for Common Cultural Traditions of the Greater Mekong Subregion

What makes a Pollock Pollock: a machine vision approach

Towards content-based patent image retrieval: A framework perspective

Contact Info

Product

Resources

About