Using textual and structural context for searching Multimedia Elements

Torjmen, Mouna; Pinel-Sauvagnat, Karen

doi:10.1504/ijbidm.2010.036123

Cited by 11 publications

(12 citation statements)

References 41 publications

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“…In a second time, [10] have used the addition of horizontal structure to the notion of hierarchy. [10] use a method called "CBA" (Children, Brothers, Ancestors), which takes into consideration the information carried by the children , brothers and fathers nodes for calculate the relevance of multimedia elements. The authors propose an alternative method "OntologyLike" which is based on the identification of XML document to ontology.…”

Section: Related Workmentioning

confidence: 99%

Investigating the combination of structural and textual information about multimedia retrieval

Fakhfakh¹,

Tmar²,

Mahdi³

2014

IJACSA

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Abstract-The expansion of structured information in different applications introduces a new ambiguity in multimedia retrieval in semi-structured documents. We investigate in this paper the combination of textual and structural context for multimedia retrieval in XML document thus we present a indexing model which combines textual and structural information. We propose a geometric method who use implicitly of textual and structural context of XML elements and we are particularly interested by improve the effectiveness of various structural factors for multimedia retrieval. Using a geometric metric, we can represent structural information in XML document with a vector for each element.

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Section: Related Workmentioning

confidence: 99%

Investigating the combination of structural and textual information about multimedia retrieval

Fakhfakh¹,

Tmar²,

Mahdi³

2014

IJACSA

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“…In a second time, (Torjmen et al, 2010) have used the addition of horizontal structure to the notion of hierarchy. (Torjmen et al, 2010) use a method called "CBA" (Children, Brothers, Ancestors), which takes into consideration the information carried by the children , brothers and fathers nodes for calculate the relevance of multimedia elements. The authors propose an alternative method "Ontolo-gyLike" which is based on the identification of XML document to ontology.…”

Section: State Of the Artmentioning

confidence: 99%

Multimedia Retrieval based on Geometric Distance in Semi-structured Document

Fakhfakh¹,

Tmar²,

Mahdi³

2014

Proceedings of the 10th International Conference on Web Information Systems and Technologies

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This paper is included on multimedia retrieval in XML document, whose goal is to find relevant multimedia element. In this article, we are particularly interested by studing the impact of various structural factors for image retrieval by our proposed method using a new evidence of source applied to media "image". This method consist to define a geometric distance between XML nodes. Experiments are undertaken into two data sets "INEX 2007" and "ImageCLEF 2010". The obtained results showed effectiveness of our approach.

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“…Even though this method exploits the document structure, it does not take into account the element position in the same Region Knowledge. In our previous work, we proposed two methods to retrieve multimedia elements (Torjmen, Pinel-Sauvagnat, & Boughanem, 2010). The first one, called Children, Brothers and Ancestors (CBA), consists of evaluating a score for each multimedia element through the scores of its children, brothers and ancestors, already evaluated by an XML retrieval model based on relevance score propagation (XFIRM).…”

Section: Using Structural Contextmentioning

confidence: 99%

“…To retrieve relevant multimedia elements, we have already proposed in previous work two methods based on textual and structural contexts (Torjmen et al, 2010): CBA and Ontologylike. The two methods obtain similar performances, but as the OntologyLike method is independent of any other system (contrary to CBA that uses the XFIRM system), it will be preferred here to retrieve multimedia elements.…”

Section: Multimedia Element Retrieval: Ontologylike Approachmentioning

confidence: 99%

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Investigating the document structure as a source of evidence for multimedia fragment retrieval

Torjmen-Khemakhem

Pinel-Sauvagnat

2013

Information Processing & Management

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International audienceMultimedia objects can be retrieved using their context that can be for instance the text surrounding them in documents. This text may be either near or far from the searched objects. Our goal in this paper is to study the impact, in term of effectiveness, of text position relatively to searched objects. The multimedia objects we consider are described in structured documents such as XML ones. The document structure is therefore exploited to provide this text position in documents. Although structural information has been shown to be an effective source of evidence in textual information retrieval, only a few works investigated its interest in multimedia retrieval. More precisely, the task we are interested in this paper is to retrieve multimedia fragments (i.e. XML elements having at least one multimedia object). Our general approach is built on two steps: we first retrieve XML elements containing multimedia objects, and we then explore the surrounding information to retrieve relevant multimedia fragments. In both cases, we study the impact of the surrounding information using the documents structure.Our work is carried out on images, but it can be extended to any other media, since the physical content of multimedia objects is not used. We conducted several experiments in the context of the Multimedia track of the INEX evaluation campaign. Results showed that structural evidences are of high interest to tune the importance of textual context for multimedia retrieval. Moreover, the proposed approach outperforms state of the art approaches

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Using textual and structural context for searching Multimedia Elements

Cited by 11 publications

References 41 publications

Investigating the combination of structural and textual information about multimedia retrieval

Investigating the combination of structural and textual information about multimedia retrieval

Multimedia Retrieval based on Geometric Distance in Semi-structured Document

Investigating the document structure as a source of evidence for multimedia fragment retrieval

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