Combination of document structure and links for multimedia object retrieval

Aouadi, Hatem; Torjmen-Khemakhem, Mouna; Jemaa, Maher Ben

doi:10.1177/0165551512445851

Cited by 8 publications

(8 citation statements)

References 22 publications

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“…Using this mask, we then replace zero-sum columns by a uniform vector with the probability 1 |𝑉 | of randomly jumping to any node. The term 1 |𝑉 | 𝑎𝑒 𝑇 is essentially a square matrix that repeats 1 |𝑉 | over all lines of zero-sum columns -it's as if sinks are now linked to all nodes in the graph. Finally, using Jelinek-Mercer smoothing (linear interpolation), we combine 𝑆 with a teleportation term, obtaining the Markov matrix M that will be used in the power iteration to compute the PageRank vector 𝑟 .…”

Section: A Revision Onmentioning

confidence: 99%

Fatigued PageRank

Devezas¹,

Nunes²

2021

Preprint

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Connections among entities are everywhere. From social media interactions to web page hyperlinks, networks are frequently used to represent such complex systems. Node ranking is a fundamental task that provides the strategy to identify central entities according to multiple criteria. Popular node ranking metrics include degree, closeness or betweenness centralities, as well as HITS authority or PageRank. In this work, we propose a novel node ranking metric, where we combine PageRank and the idea of node fatigue, in order to model a random explorer who wants to optimize coverage -it gets fatigued and avoids previously visited nodes. We formalize and exemplify the computation of Fatigued PageRank, evaluating it as a node ranking metric, as well as query-independent evidence in ad hoc document retrieval. Based on the Simple English Wikipedia link graph with clickstream transitions from the English Wikipedia, we find that Fatigued PageRank is able to surpass both indegree and HITS authority, but only for the top ranking nodes. On the other hand, based on the TREC Washington Post Corpus, we were unable to outperform the BM25 baseline, obtaining similar performance for all graph-based metrics, except for indegree, which lowered GMAP and MAP, but increased NDCG@10 and P@10.

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Section: A Revision Onmentioning

confidence: 99%

Fatigued PageRank

Devezas¹,

Nunes²

2021

Preprint

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“…There are other approaches to multimedia retrieval are based on exploitation of links in XML document [10]. This work was improved by proposing a hybrid approach that combines structure with using of links who is consider as semantic links [11]. This method above to divide the document into regions according the hierarchical structure and the location of image in document.…”

Section: Related Workmentioning

confidence: 99%

A study of Impact of Integration Structural Context in Multimedia Retrieval: Application on Image Media

Fakhfakh¹,

Tmar²,

Mahdi³

2015

RCS

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The expansion in volume of information organized according to a structure in multiple applications introduces a new equivocal in multimedia retrieval in semi-structured documents. We study in this paper the impact of introduce a structural context on 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. Experimental evaluation is carried out using the INEX Ad Hoc Task 2007, ImageCLEF Wikipedia Retrieval Task 2010 and ImageCLEF Plant Task 2014 in the framework of our participation in CLEF 2014 campaign. The results show that integration of structural context significantly improves compared results of using a single textual context. Our proposed method perform as compared to other systems evaluated on two coolection INEX 2007 and ImageCLEF 2010.

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“…This work was improved by proposing a hybrid approach that combines structure with using of links that is consider as semantic links [12]. This method above consists to divide the document into regions according the hierarchical structure and the location of image in document.…”

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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Combination of document structure and links for multimedia object retrieval

Cited by 8 publications

References 22 publications

Fatigued PageRank

Fatigued PageRank

A study of Impact of Integration Structural Context in Multimedia Retrieval: Application on Image Media

Investigating the combination of structural and textual information about multimedia retrieval

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