Augmented media for traditional magazines

Proceedings of the 3rd Symposium on Information and Communication Technology Pub Date : 2012-08-23 DOI:10.1145/2350716.2350733

Vinh-Tiep Nguyen, M. Tran, Trung-Nghia Le, Quoc-Minh Bui, A. Duong

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引用次数: 4

Abstract

Reading traditional newspapers or magazines is a common way to get latest information about events or new products. However these printed materials only provide readers with static information. Readers may want to know more detail information about some product in an article or to watch video clips related to an event mentioned in a news right at the moment when they read that article or news. The authors propose a system with mobile devices that can provide extra information and multimedia for readers by applying augmented reality to traditional magazines. A user can enjoy extra rich multimedia information on a product or news on his/her mobile device just by looking at an article in a traditional magazine through his/her mobile device. The system detects which article in which page of a magazine that is being displayed in a mobile device and provides a reader with related information and multimedia objects. The important feature of our proposed system is using lightweight filter to efficiently filter out candidate covers or articles that do not visually match an image captured by a mobile device. The experiment shows that our proposed system achieves the average accuracy of more than 90% and can process in the real-time manner.

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传统杂志的增强媒体

阅读传统的报纸或杂志是获得有关事件或新产品的最新信息的常见方式。然而，这些印刷材料只向读者提供静态信息。读者可能想要了解文章中某些产品的更多细节信息，或者在阅读文章或新闻的同时观看与新闻中提到的事件相关的视频片段。作者提出了一种移动设备系统，通过将增强现实技术应用于传统杂志，为读者提供额外的信息和多媒体。用户只需通过移动设备浏览传统杂志上的一篇文章，就可以在移动设备上享受到关于产品或新闻的额外丰富的多媒体信息。该系统检测移动设备上正在显示的杂志的哪一页的哪一篇文章，并向读者提供相关信息和多媒体对象。我们提出的系统的重要特征是使用轻量级过滤器有效地过滤掉在视觉上与移动设备捕获的图像不匹配的候选封面或文章。实验表明，该系统的平均准确率达到90%以上，可以实时处理。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Proceedings of the 3rd Symposium on Information and Communication Technology

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