Imlooking:基于图像的面部检索在网上约会资料搜索

Leizhong Zhang, Qiong Yang, Ta Bao, D. Vronay, Xiaoou Tang
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引用次数: 9

摘要

文本搜索是大多数在线约会网站使用的方法,它成功地涵盖了年龄范围和性别等各种属性,但在搜索面部特征时却有所不足。同时,目前基于图像的人脸检索应用通过在搜索中使用图像作为查询,减轻了用户对文本描述的挑战,但只关注于寻找同一个人。我们认为,在基于图像的人脸检索中,有一个空白需要填补,以进一步支持互联网交友网站上的人际搜索场景。因此,我们引入了一个个人资料搜索原型——ImLooking——使用基于增强图像的面部检索过滤器。首先,我们给出了一个原型设计并提供了技术支持。在一项用户研究中,参与者很快就熟悉了用户界面,并适应了原型的操作方式。此外,他们还表示喜欢互动的过程。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Imlooking: image-based face retrieval in online dating profile search
Textual search, the approach used by the majority of existing online dating sites, successfully covers a variety of attributes, such as age range and gender, but falls short when searching for facial features. Meanwhile, by using images as the query in a search, current image-based face-retrieval applications ease the challenge of textual description from users, but only focus on finding the same person. We believe there is a gap that needs to be filled in image-based face retrieval to further support the interpersonal search scenarios on Internet dating sites. Therefore, we are introducing a profile search prototype -- ImLooking - using an augmented image-based face retrieval filter. First, we present a prototype design and offer technical support. In a user study, participants quickly felt at home in user interface and acclimatized to the way the prototype operates. In addition, they reported they enjoyed the interaction process.
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