Augmented media for traditional magazines

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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