Please use this identifier to cite or link to this item:
https://doi.org/10.1016/j.ins.2012.01.003
DC Field | Value | |
---|---|---|
dc.title | K-Partite graph reinforcement and its application in multimedia information retrieval | |
dc.contributor.author | Gao, Y. | |
dc.contributor.author | Wang, M. | |
dc.contributor.author | Ji, R. | |
dc.contributor.author | Zha, Z. | |
dc.contributor.author | Shen, J. | |
dc.date.accessioned | 2013-07-04T07:34:47Z | |
dc.date.available | 2013-07-04T07:34:47Z | |
dc.date.issued | 2012 | |
dc.identifier.citation | Gao, Y., Wang, M., Ji, R., Zha, Z., Shen, J. (2012). K-Partite graph reinforcement and its application in multimedia information retrieval. Information Sciences 194 : 224-239. ScholarBank@NUS Repository. https://doi.org/10.1016/j.ins.2012.01.003 | |
dc.identifier.issn | 00200255 | |
dc.identifier.uri | http://scholarbank.nus.edu.sg/handle/10635/39137 | |
dc.description.abstract | In many example-based information retrieval tasks, example query actually contains multiple sub-queries. For example, in 3D object retrieval, the query is an object described by multiple views. In content-based video retrieval, the query is a video clip that contains multiple frames. Without prior knowledge, the most intuitive approach is to treat the sub-queries equally without difference. In this paper, we propose a k-partite graph reinforcement approach to fuse these sub-queries based on the to-be-retrieved database. The approach first collects the top retrieved results. These results are regarded as pseudo-relevant samples and then a k-partite graph reinforcement is performed on these samples and the query. In the reinforcement process, the weights of the sub-queries are updated by an iterative process. We present experiments on 3D object retrieval and content-based video clip retrieval, and the results demonstrate that our method effectively boosts retrieval performance. © 2012 Elsevier Inc. All rights reserved. | |
dc.description.uri | http://libproxy1.nus.edu.sg/login?url=http://dx.doi.org/10.1016/j.ins.2012.01.003 | |
dc.source | Scopus | |
dc.subject | 3D object retrieval | |
dc.subject | k-Partite graph reinforcement | |
dc.subject | Multimedia information retrieval | |
dc.subject | Video retrieval | |
dc.type | Article | |
dc.contributor.department | COMPUTER SCIENCE | |
dc.description.doi | 10.1016/j.ins.2012.01.003 | |
dc.description.sourcetitle | Information Sciences | |
dc.description.volume | 194 | |
dc.description.page | 224-239 | |
dc.description.coden | ISIJB | |
dc.identifier.isiut | 000303092700013 | |
Appears in Collections: | Staff Publications |
Show simple item record
Files in This Item:
There are no files associated with this item.
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.