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International Journal of Mobile Computing and Multimedia Communications最新文献

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Design of Micro-Expression Recognition System Based on Computer Cloud Computing 基于计算机云计算的微表情识别系统设计
IF 0.6 Q4 TELECOMMUNICATIONS Pub Date : 2021-09-15 DOI: 10.38007/ijmc.2021.020301
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引用次数: 0
Animal Environmental Management Applied to Financial Consumer Credit Risk System 动物环境管理在金融消费信用风险体系中的应用
IF 0.6 Q4 TELECOMMUNICATIONS Pub Date : 2021-09-15 DOI: 10.38007/ijmc.2021.020306
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引用次数: 0
Exploration and Practice of the Training Mode of Innovative Talents in Building Electrical and Intelligent Specialty 建筑电气与智能专业创新人才培养模式的探索与实践
IF 0.6 Q4 TELECOMMUNICATIONS Pub Date : 2021-09-15 DOI: 10.38007/ijmc.2021.020303
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引用次数: 0
The Impact of Price-sensitivity on Platform’s Service Effort Strategy in a Two-sided Market 双边市场中价格敏感性对平台服务努力策略的影响
IF 0.6 Q4 TELECOMMUNICATIONS Pub Date : 2021-09-15 DOI: 10.38007/ijmc.2021.020305
Mingyue Zhong, Jiejin Fan
In a two-sided market, the two-sided platform may choose to invest in service effort to attract buyers and sellers, meanwhile buyers and sellers are price-sensitive. This paper investigates how the two-sided platform sets her pricing and service effort strategies when the buyers and sellers are price-sensitive. The equilibrium strategies are derived when the platform does not offer service effort and when the platform offers service effort. The results indicate that, the cross-network externality does not impact on the price when the platform does not offer service effort, but it impacts on the price positively when the platform offers service effort. Meanwhile, the price-sensitivity impacts on the platform’s profit and optimal scales of buyers and sellers negatively. Then, the results show that the optimal strategy for the platform is offering service effort, but it may hurt the buyers and sellers’ surplus and social welfare in certain scenario.
在双边市场中,双边平台可能会选择投入服务努力来吸引买家和卖家,同时买家和卖家都对价格敏感。本文研究了当买卖双方都对价格敏感时,双边平台如何制定定价和服务努力策略。在平台不提供服务努力和平台提供服务努力两种情况下,推导出平衡策略。结果表明,当平台不提供服务努力时,跨网络外部性对价格没有影响,而当平台提供服务努力时,跨网络外部性对价格有正向影响。同时,价格敏感性对平台利润和买卖双方最优规模产生负向影响。结果表明,平台的最优策略是提供服务努力,但在特定场景下,这可能会损害买卖双方的剩余和社会福利。
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引用次数: 0
Session details: Main Session 会话详细信息:主会话
IF 0.6 Q4 TELECOMMUNICATIONS Pub Date : 2021-08-21 DOI: 10.1145/3483206
Kensuke Tobitani
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引用次数: 0
Ketchup GAN: A New Dataset for Realistic Synthesis of Letters on Food 番茄酱GAN:一个用于食品上字母真实合成的新数据集
IF 0.6 Q4 TELECOMMUNICATIONS Pub Date : 2021-08-21 DOI: 10.1145/3463946.3469241
Gibran Benitez-Garcia, Keiji Yanai
This paper introduces a new dataset for the realistic synthesis of letters on food. Specifically, the "Ketchup GAN" dataset consists of real-world images of egg omelettes decorated with ketchup letters. Our dataset contains sufficient size and variety to train and evaluate deep learning-based generative models. In addition, we generate a synthetic ketchup-free set, which enables us to train paired-based generative adversarial networks (GAN). The ketchup GAN dataset comprises more than two thousand images of omelette dishes collected from Twitter. Automatically generated segmentation masks of egg and ketchup are also provided as part of the dataset. Thus, we can evaluate generative models based on segmentation inputs as well. With our dataset, two state-of-the-art GAN models (Pix2Pix and SPADE) are reviewed on photorealistic ketchup letter synthesis. We finally present an automatic application of omelette decoration with ketchup text input from users. The dataset and more details are publicly available at https://mm.cs.uec.ac.jp/omrice/.
本文介绍了一种用于食品字母真实合成的新数据集。具体来说,“Ketchup GAN”数据集由用番茄酱字母装饰的蛋卷的真实图像组成。我们的数据集包含足够的大小和种类来训练和评估基于深度学习的生成模型。此外,我们生成了一个合成的无番茄酱集,这使我们能够训练基于配对的生成对抗网络(GAN)。番茄酱GAN数据集包括从推特上收集的2000多张煎蛋卷图片。自动生成的鸡蛋和番茄酱的分割掩码也作为数据集的一部分提供。因此,我们也可以评估基于分割输入的生成模型。利用我们的数据集,回顾了两种最先进的GAN模型(Pix2Pix和SPADE)在逼真的番茄酱字母合成上的应用。最后给出了一个用户输入番茄酱文字装饰煎蛋卷的自动应用。数据集和更多细节可在https://mm.cs.uec.ac.jp/omrice/上公开获取。
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引用次数: 3
Color-Grayscale-Pair Image Sentiment Dataset and Its Application to Sentiment-Driven Image Color Conversion 色彩-灰度对图像情感数据集及其在情感驱动图像颜色转换中的应用
IF 0.6 Q4 TELECOMMUNICATIONS Pub Date : 2021-08-21 DOI: 10.1145/3463946.3469240
A. Takada, Xueting Wang, T. Yamasaki
In this study, we focused on the fact that the color information of an image has a significant effect on the emotion recalled, and we created a dataset with discrete and continuous emotion labels for color and grayscale image pairs, which are not present in existing emotion image datasets. As a result of the analysis of the continuous-valued emotion labels, we found that the color images evoked a wider range of positive and negative emotions. We also conducted experiments to transform the color of the image to the target emotion using the emotion label and the image as input and succeeded in changing the color of the entire image according to the input emotion value. Another experiment is conducted to convert the emotion category and we confirmed that the image was generated in such a way that the evoked emotion was changed compared to the original image.
在本研究中,我们关注图像的颜色信息对情绪回忆的显著影响,并创建了一个具有离散和连续情感标签的数据集,用于颜色和灰度图像对,这在现有的情绪图像数据集中是不存在的。通过对连续值情绪标签的分析,我们发现彩色图像唤起了更广泛的积极和消极情绪。我们还进行了以情绪标签和图像作为输入,将图像的颜色转换为目标情绪的实验,并成功地根据输入的情绪值改变了整个图像的颜色。我们进行了另一个实验来转换情绪类别,我们确认图像的生成方式与原始图像相比,引起的情绪发生了变化。
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引用次数: 3
Proceedings of the 2021 International Joint Workshop on Multimedia Artworks Analysis and Attractiveness Computing in Multimedia 2021 2021多媒体艺术作品分析与多媒体吸引力计算国际联合研讨会论文集
IF 0.6 Q4 TELECOMMUNICATIONS Pub Date : 2021-08-21 DOI: 10.1145/3463946
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引用次数: 0
Session details: Invited Talk 会议详情:邀请演讲
IF 0.6 Q4 TELECOMMUNICATIONS Pub Date : 2021-08-21 DOI: 10.1145/3483205
Min-Chun Hu
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引用次数: 0
Estimating Groups of Featured Characters in Comics with Sequence of Characters' Appearance 基于人物出场序列的漫画人物特征群估计
IF 0.6 Q4 TELECOMMUNICATIONS Pub Date : 2021-08-21 DOI: 10.1145/3463946.3469242
Kodai Imaizumi, Ryosuke Yamanishi, Yoko Nishihara, Takahiro Ozawa
This paper proposes a method to estimate a group of featured characters during an arbitrary period in comics. Comics have so many aspects of attractiveness such as illustrations and quotes. The storyline, which is one of the attractive of comics, enables us to enjoy the dramas in comics. In comics, the story is driven by characters' activities represented in multimedia forms: emotion, speech, and some other actions. This paper, as a first step to recognize the storyline, tackles the estimation of a group of featured characters in a given period. To compute the storyline of comics with the facility, the proposed method uses a sequence of characters' appearances for each page. The experiment showed that the proposed method outperformed the comparative methods in estimating groups of featured characters with a 0.82 F-value on average while comparative methods showed 0.67 and 0.48. The results showed that sequences of characters' appearance, which are relatively easy to obtain, were sufficient to catch the brief storyline i.e. featured characters in a story.
本文提出了一种估计漫画中任意时期的一组特征人物的方法。漫画有很多吸引人的方面,比如插图和引言。故事情节是漫画的魅力之一,它使我们能够在漫画中欣赏戏剧。在漫画中,故事是由人物的活动驱动的,这些活动以多媒体的形式表现出来:情感、言语和其他一些动作。本文首先对给定时期的一组特征人物进行估计,作为识别故事情节的第一步。为了使用该工具计算漫画的故事情节,所提出的方法使用每页的角色出现序列。实验表明,该方法在估计特征字符组方面优于比较方法,平均f值为0.82,而比较方法的平均f值为0.67和0.48。结果表明,相对容易获得的人物出场序列足以捕捉到故事的简短故事情节,即故事中的特色人物。
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引用次数: 3
期刊
International Journal of Mobile Computing and Multimedia Communications
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