Please use this identifier to cite or link to this item:
http://hdl.handle.net/10397/107229
| DC Field | Value | Language |
|---|---|---|
| dc.contributor | Department of Electrical and Electronic Engineering | en_US |
| dc.creator | Hu, J | en_US |
| dc.creator | Lam, KM | en_US |
| dc.creator | Lou, P | en_US |
| dc.creator | Liu, Q | en_US |
| dc.date.accessioned | 2024-06-13T01:04:44Z | - |
| dc.date.available | 2024-06-13T01:04:44Z | - |
| dc.identifier.isbn | 978-1-5090-6067-2 (Electronic) | en_US |
| dc.identifier.isbn | 978-1-5090-6066-5 (USB) | en_US |
| dc.identifier.isbn | 978-1-5090-6068-9 (Print on Demand(PoD)) | en_US |
| dc.identifier.uri | http://hdl.handle.net/10397/107229 | - |
| dc.description | 2017 IEEE International Conference on Multimedia and Expo (ICME), 10-14 July 2017, Hong Kong, China | en_US |
| dc.language.iso | en | en_US |
| dc.publisher | Institute of Electrical and Electronics Engineers | en_US |
| dc.rights | ©2017 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. | en_US |
| dc.rights | The following publication J. Hu, K. -M. Lam, P. Lou and Q. Liu, "Constructing a hierarchical tree for image annotation," 2017 IEEE International Conference on Multimedia and Expo (ICME), Hong Kong, China, 2017, pp. 265-270 is available at https://doi.org/10.1109/ICME.2017.8019512. | en_US |
| dc.subject | Annotation | en_US |
| dc.subject | Hierarchical | en_US |
| dc.subject | Label | en_US |
| dc.subject | Tree | en_US |
| dc.title | Constructing a hierarchical tree for image annotation | en_US |
| dc.type | Conference Paper | en_US |
| dc.identifier.spage | 265 | en_US |
| dc.identifier.epage | 270 | en_US |
| dc.identifier.doi | 10.1109/ICME.2017.8019512 | en_US |
| dcterms.abstract | Image annotation is always an easy task for humans but a tough task for machines. Inspired by human's thinking mode, there is an assumption that the computer has double systems. Each of the systems can handle the task individually and in parallel. In this paper, we introduce a new hierarchical model for image annotation, based on constructing a novel, hierarchical tree, which consists of exploring the relationships between the labels and the features used, and dividing labels into several hierarchies for efficient and accurate labeling. | en_US |
| dcterms.accessRights | open access | en_US |
| dcterms.bibliographicCitation | In Proceedings of 2017 IEEE International Conference on Multimedia and Expo (ICME), 10-14 July 2017, Hong Kong, China, p. 265-270 | en_US |
| dcterms.issued | 2017 | - |
| dc.identifier.scopus | 2-s2.0-85030229881 | - |
| dc.relation.conference | IEEE International Conference on Multimedia and Expo [ICME] | en_US |
| dc.description.validate | 202404 bckw | en_US |
| dc.description.oa | Accepted Manuscript | en_US |
| dc.identifier.FolderNumber | EIE-0668 | - |
| dc.description.fundingSource | Self-funded | en_US |
| dc.description.pubStatus | Published | en_US |
| dc.identifier.OPUS | 9604513 | - |
| dc.description.oaCategory | Green (AAM) | en_US |
| Appears in Collections: | Conference Paper | |
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| File | Description | Size | Format | |
|---|---|---|---|---|
| Lam_Constructing_Hierarchical_Tree.pdf | Pre-Published version | 515.81 kB | Adobe PDF | View/Open |
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