An Augmented Reality Multimedia (ARM): A Dynamic Multimedia Encyclopedia on Mobile Device

Abstract

In the recent days, there are rapid advancements in the web 2.0 contents (texts, images and videos) and in the computational complexity. The next generation in computing is predictably in the mobile arena. A lot of applications are being developed to cater the needs of mobile device users. This research is based on the question: How can we benefit from the rapidly proliferating web 2.0 contents in the mobile device with staggering technological developments? This paper presents a surprisingly impressive novel dynamic multimedia encyclopedia, multimedia, that augments reality on the mobile device. This system supersedes the traditional texts or maps retrieved. A group of estimation and sensors to track objects and keep information on them used. An augmented reality based multimedia encyclopedia on mobile device which is dynamic is presented. It is dynamic and mines resources on the web. We demonstrate how this device can be utilized to bring relevant information to users in a much more enriched manner than traditional texts. ARM is dynamic and is distinctive in 3 ways. It fetches multimedia contents for users through automated intuition and dynamically updates content from the web. It uses recent multimedia content to produce answers which are versatile. New mediums like videos & languages can be incorporated into the framework. This system takes advantage of the mobile camera, location and orientation sensors to augment reality. Live camera view and retrieve dynamic data. A Combination of algorithms is used to analyze and demonstrate our ARM.