The landscape of multimedia ontologies in the last decade

Suárez-Figueroa, Mari Carmen; Atemezing, Ghislain Auguste; Corcho, Óscar

doi:10.1007/s11042-011-0905-z

Cited by 20 publications

(17 citation statements)

References 16 publications

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“…Some of the most important multimedia ontologies specifically designed for annotation and retrieval of multimedia are TRECEVID [31], COMM [32] and LSCOM [33]. For a detailed overview of multimedia ontologies see [34]. Ontologies have been identified as one of the most promising improvements to metadata search [35].…”

Section: Related Workmentioning

confidence: 99%

Evaluation of Keyword Search in Affective Multimedia Databases

Horvat

Vuković

Car

2016

Lecture Notes in Computer Science

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Abstract. Multimedia documents such as pictures, videos, sounds and text provoke emotional responses of different intensity and polarity. These stimuli are stored in affective multimedia databases together with description of their semantics based on keywords from unsupervised glossaries, expected emotion elicitation potential and other important contextual information. Affective multimedia databases are important in many different areas of research, such as affective computing, human-computer interaction and cognitive sciences, where it is necessary to deliberately modulate emotional states of individuals. However, restrictions in the employed semantic data models impair retrieval performance measures thus severely limiting the databases' overall usability. An experimental evaluation of multi-keyword search in affective multimedia databases, using lift charts as binomial classifiers optimized for retrieval precision or sensitivity, is presented. Suggestions for improving expressiveness and formality of data models are elaborated, as well as introduction of dedicated ontologies which could lead to better data interoperability.

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Section: Related Workmentioning

confidence: 99%

Evaluation of Keyword Search in Affective Multimedia Databases

Horvat

Vuković

Car

2016

Lecture Notes in Computer Science

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“…In this special issue three papers discuss the role of ontologies and the integration of distributed multimedia sources. The authors of [7] compare the landscape of multimedia ontologies in the last decade, while [8] proposes and compares two ontology matching techniques to semantic image retrieval. In contrast, the authors of [3] present an mediator based approach to integrate multiple heterogeneous data sources.…”

Section: Multimedia Ontologies and Data Integrationmentioning

confidence: 99%

“…Mari Carmen Suarez-Figueroa, Ghislain Auguste Atemezing, and Oscar Corcho compare well-known ontologies in the multimedia domain [7]. Therefore, they introduce a framework called FRAMECOM-MON, which takes process-oriented dimension, such as the methodological one, outcome-oriented dimensions, like multimedia aspects, understandability, and evaluation criteria into account.…”

Section: Multimedia Ontologies and Data Integrationmentioning

confidence: 99%

Trends in semantic and digital media technologies

Grzegorzek

Rüger

Sintek

et al. 2012

Multimed Tools Appl

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“…To take advantage of MPEG-7 as comprehensive multimedia metadata framework and to enhance the semantic expressiveness and to support it with formal semantics, it is desirable to have the MPEG-7 XML descriptions expressed in Resource Description Framework (RDF) [3] to express MPEG-7 metadata terms with ontology [4,5,6,7]. The basic idea of RDF is to decompose knowledge into triples, where each triple comprises a subject, a predicate, and an object.…”

Section: Introductionmentioning

confidence: 99%

Using MPQF for Querying MPEG-7 RDF Descriptions

Al-Zoube¹

2012

IJMA

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MPEG are two related standards developed by the Moving Picture Experts Group (MPEG) to address the multimedia retrieval problem. MPEG-7 aims to provide standardized comprehensive set of tools for description of audiovisual content, while MPQF aims to provide a standardized interface which unifies the retrieval over different multimedia repositories. However, both standards have some limitations. On one hand, MPEG-7 is based on XML Schema, therefore, does not have formal semantics, which makes difficult to be managed by computers. Machine understandable metadata forms the main prerequisite for the intelligent services envisaged in a Web, which going beyond mere data exchange and provides for effective content access, sharing and reuse. Consequently, there have been several attempts to move MPEG-7 to the Semantic Web to provide it with formal semantics. On the other hand, MPQF is limited to querying XML-based multimedia metadata. Therefore if MPQF is intended to support queries on non-XML multimedia metadata, mapping of MPQF to the specific database query language is necessary. In this paper MPQF is used to query semantic MPEG-7 RDF descriptions. A set of rules are proposed for converting MPQF query into SPARQL query without introducing new construct to MPQF. These rules are mainly based on the new features added in SPARQL1.1.

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The landscape of multimedia ontologies in the last decade

Cited by 20 publications

References 16 publications

Evaluation of Keyword Search in Affective Multimedia Databases

Evaluation of Keyword Search in Affective Multimedia Databases

Trends in semantic and digital media technologies

Using MPQF for Querying MPEG-7 RDF Descriptions

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