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Saliency Detection using Boundary Aware Regional Contrast Based Seam-map
http://hdl.handle.net/10228/00007004
http://hdl.handle.net/10228/0000700473714892-b6b9-4e03-bb9b-53ca3cb07cd7
| 名前 / ファイル | ライセンス | アクション |
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10332123.pdf (4.9 MB)
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| Item type | 会議発表論文 = Conference Paper(1) | |||||||||||
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| 公開日 | 2019-02-13 | |||||||||||
| 資源タイプ | ||||||||||||
| 資源タイプ識別子 | http://purl.org/coar/resource_type/c_5794 | |||||||||||
| 資源タイプ | conference paper | |||||||||||
| タイトル | ||||||||||||
| タイトル | Saliency Detection using Boundary Aware Regional Contrast Based Seam-map | |||||||||||
| 言語 | en | |||||||||||
| 言語 | ||||||||||||
| 言語 | eng | |||||||||||
| 著者 |
Islam, Aminul
× Islam, Aminul× Ahsan, Sk. Md. Masudul× タン, ジュークイ
WEKO
399
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| 抄録 | ||||||||||||
| 内容記述タイプ | Abstract | |||||||||||
| 内容記述 | Most of the saliency detection methods use the contrast and boundary prior to extract the salient region of an input image. These two approaches are followed in Boundary Aware Regional Contrast Based Visual Saliency Detection (BARC) [1] along with spatial distance information to achieve state of the art result. In this research, a more interesting cue is introduced to extract the salient region from an input image. Here, a combination of seam map and BARC [1] is presented to produce the saliency output. Seam importance map with boundary prior is also presented to measure the performance of this combination. Experiments with ten state of the art methods reveal that we get better saliency output by combining seam information of an input image with BARC [1] . | |||||||||||
| 言語 | en | |||||||||||
| 備考 | ||||||||||||
| 内容記述タイプ | Other | |||||||||||
| 内容記述 | International Conference on Innovation in Engineering and Technology(ICIET) 2018, 27 - 28 December, 2018, Dhaka, Bangladesh | |||||||||||
| 書誌情報 |
en : Proceedings of International Conference on Innovation in Engineering and Technology(ICIET) 2018 p. 1-5, 発行日 2018-12-27 |
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| 出版社 | ||||||||||||
| 出版社 | IEEE | |||||||||||
| ISBN | ||||||||||||
| 識別子タイプ | ISBN | |||||||||||
| 関連識別子 | 978-1-5386-5229-9 | |||||||||||
| 著作権関連情報 | ||||||||||||
| 権利情報 | Copyright (c) 2018 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. | |||||||||||
| 出版タイプ | ||||||||||||
| 出版タイプ | AM | |||||||||||
| 出版タイプResource | http://purl.org/coar/version/c_ab4af688f83e57aa | |||||||||||
| 査読の有無 | ||||||||||||
| 値 | yes | |||||||||||
| 研究者情報 | ||||||||||||
| URL | https://hyokadb02.jimu.kyutech.ac.jp/html/35_ja.html | |||||||||||
| 論文ID（連携） | ||||||||||||
| 値 | 10332123 | |||||||||||
| 連携ID | ||||||||||||
| 値 | 7531 | |||||||||||
