Building Friend Wall for Local Photo Repository by Using Social Attribute Annotation
Building Friend Wall for Local Photo Repository by Using Social Attribute Annotation
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DOI：
10.4304/jmm.9.1.4-13
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发表时间：
2014
期刊：
影响因子：
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通讯作者：
Zhipeng Wu;K. Aizawa
中科院分区：
文献类型：
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作者：
Zhipeng Wu;K. Aizawa
在本文中，我们专注于提供一个新的图像浏览和可视化体验的本地照片库。所谓的朋友墙系统解决了两个问题：（1）如何有效地分类本地图像相关的社会人物和事件。(2)如何有效地生成布局，将多张照片复杂地排列到一个画布上。对于第一个问题，我们提出了一种新的图像标注方案，采用图像的视觉特征和元数据。出于观察SNS（社交网络服务）图像，特别是那些来自用户的熟人总是包含丰富的信息，我们将这些图像作为我们的训练集，并探讨其社会属性。在我们的定义中，社会属性包含一组内在的标签，如谁，何时，何地和什么。为了有效地安排在一个单一的画布上的照片，我们提出了一个基于二叉树的表示和快速算法的布局生成。实验给出了Friend Wall的例子。社会属性标注的有效性也得到了验证。
In this paper, we focus on providing a novel image browsing and visualization experience for local photo repository. The so-called Friend Wall system solves two problems: (1) How to effectively classify the local images with respect to related social characters and events. (2) How to efficiently generate layout to compactly arrange many photos onto a single canvas. For the first problem, we propose a novel image annotation scheme by employing both of the image visual features and Metadata. Motivated by the observation that SNS (Social Networking Service) images, especially those come from the user’s acquaintances always contain rich information, we apply these images as our training set and explore their social attributes. In our definition, social attributes contain a set of intrinsic labels such as Who, When, Where, and What. To effectively arrange the photos on a single canvas, we proposed a binary tree based representation and fast algorithm for layout generation. Experiments show the examples of Friend Wall. The effectiveness of social attribute annotation is proved as well.