File Download

There are no files associated with this item.

  Links for fulltext
     (May Require Subscription)
Supplementary

Article: Cross-media retrieval using query dependent search methods

TitleCross-media retrieval using query dependent search methods
Authors
KeywordsContent-based multimedia retrieval
Multimedia document
Query expansion
Relevance feedback
Issue Date2010
Citation
Pattern Recognition, 2010, v. 43, n. 8, p. 2927-2936 How to Cite?
AbstractThe content-based cross-media retrieval is a new type of multimedia retrieval in which the media types of query examples and the returned results can be different. In order to learn the semantic correlations among multimedia objects of different modalities, the heterogeneous multimedia objects are analyzed in the form of multimedia document (MMD), which is a set of multimedia objects that are of different media types but carry the same semantics. We first construct an MMD semi-semantic graph (MMDSSG) by jointly analyzing the heterogeneous multimedia data. After that, cross-media indexing space (CMIS) is constructed. For each query, the optimal dimension of CMIS is automatically determined and the cross-media retrieval is performed on a per-query basis. By doing this, the most appropriate retrieval approach for each query is selected, i.e. different search methods are used for different queries. The query dependent search methods make cross-media retrieval performance not only accurate but also stable. We also propose different learning methods of relevance feedback (RF) to improve the performance. Experiment is encouraging and validates the proposed methods. © 2010 Elsevier Ltd. All rights reserved.
Persistent Identifierhttp://hdl.handle.net/10722/321401
ISSN
2023 Impact Factor: 7.5
2023 SCImago Journal Rankings: 2.732
ISI Accession Number ID

 

DC FieldValueLanguage
dc.contributor.authorYang, Yi-
dc.contributor.authorWu, Fei-
dc.contributor.authorXu, Dong-
dc.contributor.authorZhuang, Yueting-
dc.contributor.authorChia, Liang Tien-
dc.date.accessioned2022-11-03T02:18:40Z-
dc.date.available2022-11-03T02:18:40Z-
dc.date.issued2010-
dc.identifier.citationPattern Recognition, 2010, v. 43, n. 8, p. 2927-2936-
dc.identifier.issn0031-3203-
dc.identifier.urihttp://hdl.handle.net/10722/321401-
dc.description.abstractThe content-based cross-media retrieval is a new type of multimedia retrieval in which the media types of query examples and the returned results can be different. In order to learn the semantic correlations among multimedia objects of different modalities, the heterogeneous multimedia objects are analyzed in the form of multimedia document (MMD), which is a set of multimedia objects that are of different media types but carry the same semantics. We first construct an MMD semi-semantic graph (MMDSSG) by jointly analyzing the heterogeneous multimedia data. After that, cross-media indexing space (CMIS) is constructed. For each query, the optimal dimension of CMIS is automatically determined and the cross-media retrieval is performed on a per-query basis. By doing this, the most appropriate retrieval approach for each query is selected, i.e. different search methods are used for different queries. The query dependent search methods make cross-media retrieval performance not only accurate but also stable. We also propose different learning methods of relevance feedback (RF) to improve the performance. Experiment is encouraging and validates the proposed methods. © 2010 Elsevier Ltd. All rights reserved.-
dc.languageeng-
dc.relation.ispartofPattern Recognition-
dc.subjectContent-based multimedia retrieval-
dc.subjectMultimedia document-
dc.subjectQuery expansion-
dc.subjectRelevance feedback-
dc.titleCross-media retrieval using query dependent search methods-
dc.typeArticle-
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.doi10.1016/j.patcog.2010.02.015-
dc.identifier.scopuseid_2-s2.0-77951259324-
dc.identifier.volume43-
dc.identifier.issue8-
dc.identifier.spage2927-
dc.identifier.epage2936-
dc.identifier.isiWOS:000278186700027-

Export via OAI-PMH Interface in XML Formats


OR


Export to Other Non-XML Formats