Image Hashing for Tamper Detection with Multiview Embedding and Perceptual Saliency
Perceptual hashing technique for tamper detection has been intensively investigated owing to the speed and memory efficiency. Recent researches have shown that leveraging supervised information could lead to learn a high-quality hashing code. However, most existing methods generate hashing code by t...
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| Format: | Article |
| Language: | English |
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Wiley
2018-01-01
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| Series: | Advances in Multimedia |
| Online Access: | http://dx.doi.org/10.1155/2018/4235268 |
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| _version_ | 1832559013771870208 |
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| author | Ling Du Zhen Chen Yongzhen Ke |
| author_facet | Ling Du Zhen Chen Yongzhen Ke |
| author_sort | Ling Du |
| collection | DOAJ |
| description | Perceptual hashing technique for tamper detection has been intensively investigated owing to the speed and memory efficiency. Recent researches have shown that leveraging supervised information could lead to learn a high-quality hashing code. However, most existing methods generate hashing code by treating each region equally while ignoring the different perceptual saliency relating to the semantic information. We argue that the integrity for salient objects is more critical and important to be verified, since the semantic content is highly connected to them. In this paper, we propose a Multi-View Semi-supervised Hashing algorithm with Perceptual Saliency (MV-SHPS), which explores supervised information and multiple features into hashing learning simultaneously. Our method calculates the image hashing distance by taking into account the perceptual saliency rather than directly considering the distance value between total images. Extensive experiments on benchmark datasets have validated the effectiveness of our proposed method. |
| format | Article |
| id | doaj-art-85280baeee3449c88672a9b6d0edb644 |
| institution | Kabale University |
| issn | 1687-5680 1687-5699 |
| language | English |
| publishDate | 2018-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Advances in Multimedia |
| spelling | doaj-art-85280baeee3449c88672a9b6d0edb6442025-02-03T01:31:00ZengWileyAdvances in Multimedia1687-56801687-56992018-01-01201810.1155/2018/42352684235268Image Hashing for Tamper Detection with Multiview Embedding and Perceptual SaliencyLing Du0Zhen Chen1Yongzhen Ke2School of Computer Science and Software Engineering, Tianjin Key Laboratory of Optoelectronic Detection Technology and System, Tianjin Polytechnic University, Tianjin 300387, ChinaSchool of Computer Science and Software Engineering, Tianjin Key Laboratory of Optoelectronic Detection Technology and System, Tianjin Polytechnic University, Tianjin 300387, ChinaSchool of Computer Science and Software Engineering, Tianjin Key Laboratory of Optoelectronic Detection Technology and System, Tianjin Polytechnic University, Tianjin 300387, ChinaPerceptual hashing technique for tamper detection has been intensively investigated owing to the speed and memory efficiency. Recent researches have shown that leveraging supervised information could lead to learn a high-quality hashing code. However, most existing methods generate hashing code by treating each region equally while ignoring the different perceptual saliency relating to the semantic information. We argue that the integrity for salient objects is more critical and important to be verified, since the semantic content is highly connected to them. In this paper, we propose a Multi-View Semi-supervised Hashing algorithm with Perceptual Saliency (MV-SHPS), which explores supervised information and multiple features into hashing learning simultaneously. Our method calculates the image hashing distance by taking into account the perceptual saliency rather than directly considering the distance value between total images. Extensive experiments on benchmark datasets have validated the effectiveness of our proposed method.http://dx.doi.org/10.1155/2018/4235268 |
| spellingShingle | Ling Du Zhen Chen Yongzhen Ke Image Hashing for Tamper Detection with Multiview Embedding and Perceptual Saliency Advances in Multimedia |
| title | Image Hashing for Tamper Detection with Multiview Embedding and Perceptual Saliency |
| title_full | Image Hashing for Tamper Detection with Multiview Embedding and Perceptual Saliency |
| title_fullStr | Image Hashing for Tamper Detection with Multiview Embedding and Perceptual Saliency |
| title_full_unstemmed | Image Hashing for Tamper Detection with Multiview Embedding and Perceptual Saliency |
| title_short | Image Hashing for Tamper Detection with Multiview Embedding and Perceptual Saliency |
| title_sort | image hashing for tamper detection with multiview embedding and perceptual saliency |
| url | http://dx.doi.org/10.1155/2018/4235268 |
| work_keys_str_mv | AT lingdu imagehashingfortamperdetectionwithmultiviewembeddingandperceptualsaliency AT zhenchen imagehashingfortamperdetectionwithmultiviewembeddingandperceptualsaliency AT yongzhenke imagehashingfortamperdetectionwithmultiviewembeddingandperceptualsaliency |