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2019 IEEE International Conference on Consumer Electronics - Asia (ICCE-Asia)最新文献

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HOG feature extraction from encrypted images for privacy-preserving machine learning 用于保护隐私的机器学习的加密图像HOG特征提取
2019 IEEE International Conference on Consumer Electronics - Asia (ICCE-Asia) Pub Date : 2019-04-29 DOI: 10.1109/icce-asia46551.2019.8942217
Masaki Kitayama, H. Kiya
{"title":"HOG feature extraction from encrypted images for privacy-preserving machine learning","authors":"Masaki Kitayama, H. Kiya","doi":"10.1109/icce-asia46551.2019.8942217","DOIUrl":"https://doi.org/10.1109/icce-asia46551.2019.8942217","url":null,"abstract":"In this paper, we propose an extraction method of HOG (histograms-of-oriented-gradients) features from encryption-then-compression (EtC) images for privacy-preserving machine learning, where EtC images are images encrypted by a block-based encryption method proposed for EtC systems with JPEG compression, and HOG is a feature descriptor used in computer vision for the purpose of object detection and image classification. Recently, cloud computing and machine learning have been spreading in many fields. However, the cloud computing has serious privacy issues for end users, due to unreliability of providers and some accidents. Accordingly, we propose a novel block-based extraction method of HOG features, and the proposed method enables us to carry out any machine learning algorithms without any influence, under some conditions. In an experiment, the proposed method is applied to a face image recognition problem under the use of two kinds of classifiers: linear support vector machine (SVM), gaussian SVM, to demonstrate the effectiveness.","PeriodicalId":117814,"journal":{"name":"2019 IEEE International Conference on Consumer Electronics - Asia (ICCE-Asia)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-04-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129169809","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 8
JPEG XT Image Compression with Hue Compensation for Two-Layer HDR Coding JPEG XT图像压缩与色调补偿的两层HDR编码
2019 IEEE International Conference on Consumer Electronics - Asia (ICCE-Asia) Pub Date : 2019-04-25 DOI: 10.1109/icce-asia46551.2019.8942228
H. Kobayashi, H. Kiya
{"title":"JPEG XT Image Compression with Hue Compensation for Two-Layer HDR Coding","authors":"H. Kobayashi, H. Kiya","doi":"10.1109/icce-asia46551.2019.8942228","DOIUrl":"https://doi.org/10.1109/icce-asia46551.2019.8942228","url":null,"abstract":"We propose a novel JPEG XT image compression with hue compensation for two-layer HDR coding. LDR images produced from JPEG XT bitstreams have some distortion in hue due to tone mapping operations. In order to suppress the color distortion, we apply a novel hue compensation method based on the maximally saturated colors. Moreover, the bitstreams generated by using the proposed method are fully compatible with the JPEG XT standard. In an experiment, the proposed method is demonstrated not only to produce images with small hue degradation but also to maintain well-mapped luminance, in terms of three kinds of criterion: TMQI, hue value in CIEDE2000, and the maximally saturated color on the constant-hue plane.","PeriodicalId":117814,"journal":{"name":"2019 IEEE International Conference on Consumer Electronics - Asia (ICCE-Asia)","volume":"51 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-04-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125006391","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 5
A Noise-aware Enhancement Method for Underexposed Images 欠曝光图像的噪声感知增强方法
2019 IEEE International Conference on Consumer Electronics - Asia (ICCE-Asia) Pub Date : 2019-04-24 DOI: 10.1109/icce-asia46551.2019.8941602
C. Chien, Yuma Kinoshita, H. Kiya
{"title":"A Noise-aware Enhancement Method for Underexposed Images","authors":"C. Chien, Yuma Kinoshita, H. Kiya","doi":"10.1109/icce-asia46551.2019.8941602","DOIUrl":"https://doi.org/10.1109/icce-asia46551.2019.8941602","url":null,"abstract":"A novel method of contrast enhancement is proposed for underexposed images, in which heavy noise is hidden. Under low light conditions, images taken by digital cameras have low contrast in dark or bright regions. This is due to a limited dynamic range that imaging sensors have. For these reasons, various contrast enhancement methods have been proposed so far. These methods, however, have two problems: (1) The loss of details in bright regions due to over-enhancement of contrast. (2) The noise is amplified in dark regions because conventional enhancement methods do not consider noise included in images. The proposed method aims to overcome these problems. In the proposed method, a shadow-up function is applied to adaptive gamma correction with weighting distribution, and a denoising filter is also used to avoid noise being amplified in dark regions. As a result, the proposed method allows us not only to enhance contrast of dark regions, but also to avoid amplifying noise, even under strong noise environments.","PeriodicalId":117814,"journal":{"name":"2019 IEEE International Conference on Consumer Electronics - Asia (ICCE-Asia)","volume":"51 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-04-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115123597","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
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