Ontology-Based Semantic Indexing for MPEG-7 and TV-Anytime Audiovisual Content

Tsinaraki, Chrisa; Polydoros, Panagiotis; Kazasis, Fotis G.; Christodoulakis, Stavros

doi:10.1007/s11042-005-0894-x

Cited by 53 publications

(25 citation statements)

References 11 publications

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“…The model is complex, though, and linking the low-level to semantics via MPEG-7 itself is hardly ever done. The usual approach is to combine MPEG-7 with an ontology [10,22]. COMM [2] allows combination of descriptions from MPEG-7 with a semantic description.…”

Section: Related Workmentioning

confidence: 99%

See 1 more Smart Citation

Abstracting and reasoning over ship trajectories and web data with the Simple Event Model (SEM)

Hage¹,

Malaisé²,

Vries

et al. 2011

Multimed Tools Appl

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Bridging the gap between low-level features and semantics is a problem commonly acknowledged in the Multimedia community. Event modeling can fill this gap by representing knowledge about the data at different level of abstraction. In this paper we present the Simple Event Model (SEM) and its application in a Maritime Safety and Security use case about Situational Awareness, where the data also come as low-level features (of ship trajectories). We show how we abstract over these low-level features, recognize simple behavior events using a Piecewise Linear Segmentation algorithm, and model the resulting events as instances of SEM. We aggregate web data from different sources, apply deduction rules, spatial proximity reasoning, and semantic web reasoning in SWI-Prolog to derive abstract events from the recognized simple events. The use case described in this paper comes from the Dutch Poseidon project.

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Section: Related Workmentioning

confidence: 99%

“…In this case we use the error function E v . Then we apply compression to each segment created in the first compression step (line 6 of Algorithm 2), but we look at location, 22 which only takes into account x and y. Here we use the error function E 2 .…”

Section: Piecewise Linear Segmentationmentioning

confidence: 99%

Abstracting and reasoning over ship trajectories and web data with the Simple Event Model (SEM)

Hage¹,

Malaisé²,

Vries

et al. 2011

Multimed Tools Appl

View full text Add to dashboard Cite

show abstract

“…However, it is complex and linking the low-level to semantics via MPEG-7 itself is hardly ever done. The usual approach is to combine MPEG-7 with an ontology [4,14]. COMM [1] allows combination of descriptions from MPEG-7 with a semantic description based on the DOLCE [7] and its extension, the Description and Situation pattern.…”

Section: Related Workmentioning

confidence: 99%

“…Dublin Core defined one pattern to express time points as strings: conforming to the DCMI Period syntax allows to be inter-operable with other systems. We recommend the use of TIMEX2 14 or W3CDTF 15 as value to represent time-stamps. They can both be specified as a schema in the DCMI Period schema, and they subsume a controlled vocabulary to express Time (ISO 8601).…”

Section: Timementioning

confidence: 99%

Combining ship trajectories and semantics with the simple event model (SEM)

Hage¹,

Malaisé²,

Vries

et al. 2009

Proceedings of the 1st ACM International Workshop on Events in Multimedia

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Bridging the gap between low-level features and semantics is a problem commonly acknowledged in the Multimedia community. Event modeling can fill the gap. In this paper we present the Simple Event Model (SEM) and its application in a Maritime Safety and Security use case about Situational Awareness. We show how we abstract over low-level features, recognize simple behavior events using a Piecewise Linear Segmentation algorithm, and model the events as instances of SEM. We apply deduction rules, spatial proximity reasoning, and semantic web reasoning in SWI-Prolog to derive abstract events from the recognized simple events. The use case described in this paper come from the Dutch Poseidon project.

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“…MPEG-7, which is described using XML Schema syntax, provides rich language constructs for describing the structure and the content of multimedia data such as video. Retrieval, browsing, personalization and delivery applications in MPEG-7 would benefit from the use of domain knowledge, and MPEG-7 includes generalpurpose constructs that could be used for describing domain knowledge, albeit in a rather cumbersome way [18]. Programmers that are going to introduce domain knowledge in MPEG-7 are much more likely to be familiar with the ontology description mechanisms of the Web Ontology Language (OWL) [14] than those of MPEG-7.…”

Section: Introductionmentioning

confidence: 99%

Interoperability of XML Schema Applications with OWL Domain Knowledge and Semantic Web Tools

Tsinaraki¹,

Christodoulakis²

On the Move to Meaningful Internet Systems 2007: CoopIS, DOA, ODBASE, GADA, and IS

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Abstract. Several standards are expressed using XML Schema syntax, since the XML is the default standard for data exchange in the Internet. However, several applications need semantic support offered by domain ontologies and semantic Web tools like logic-based reasoners. Thus, there is a strong need for interoperability between XML Schema and OWL. This can be achieved if the XML schema constructs are expressed in OWL, where the enrichment with OWL domain ontologies and further semantic processing are possible. After semantic processing, the derived OWL constructs should be converted back to instances of the original schema. We present in this paper XS2OWL, a model and a system that allow the transformation of XML Schemas to OWL-DL constructs. These constructs can be used to drive the automatic creation of OWL domain ontologies and individuals. The XS2OWL transformation model allows the correct conversion of the derived knowledge from OWL-DL back to XML constructs valid according to the original XML Schemas, in order to be used transparently by the applications that follow XML Schema syntax of the standards.

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Ontology-Based Semantic Indexing for MPEG-7 and TV-Anytime Audiovisual Content

Cited by 53 publications

References 11 publications

Abstracting and reasoning over ship trajectories and web data with the Simple Event Model (SEM)

Abstracting and reasoning over ship trajectories and web data with the Simple Event Model (SEM)

Combining ship trajectories and semantics with the simple event model (SEM)

Interoperability of XML Schema Applications with OWL Domain Knowledge and Semantic Web Tools

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